This document discusses Huawei's enterprise business, which has seen fast revenue growth in recent years. It outlines Huawei's focus on data center innovation through products like its unified ICT cloud OS, accelerated solid state storage solutions, and open platform for critical business applications. These solutions help customers simplify IT, increase business agility and flexibility, and lower costs. The document also reviews Huawei's progress in the storage and server markets and its portfolio of scalable and reliable data center infrastructure solutions.
The number of internet-connected devices is growing exponentially, enabling an increasing number of edge applications in environments such as smart cities, retail, and industry 4.0. These intelligent solutions often require processing large amounts of data, running models to enable image recognition, predictive analytics, autonomous systems, and more. Increasing system workloads and data processing capacity at the edge is essential to minimize latency, improve responsiveness, and reduce network traffic back to data centers. Purpose-built systems such as Supermicro’s short-depth, multi-node SuperEdge, powered by 3rd Gen Intel® Xeon® Scalable processors, increase compute and I/O density at the edge and enable businesses to further accelerate innovation.
Join this webinar to discover new insights in edge-to-cloud infrastructures and learn how Supermicro SuperEdge multi-node solutions leverage data center scale, performance, and efficiency for 5G, IoT, and Edge applications.
1) The document discusses how data growth is driving the need for more powerful data infrastructure to maximize data value.
2) It introduces Huawei's OceanStor Dorado all-flash storage solution and highlights its industry-leading performance, high reliability, and intelligent management capabilities.
3) Key innovations of OceanStor Dorado include its SmartMatrix architecture, FlashLink algorithms, intelligent caching technologies, and support for NVMe and NVMe over RoCE to deliver ultra-low latency and high throughput.
This overview of IBM's PureSystems™ family will highlight how key components of IBM Flex System Solutions and PureFlex offerings can save you time and money with:
1. System availability
2. Power consumption
3. Virtualization
4. Multiple platforms and operating systems
PureSystems brings together built-in expertise, integrated components, and simplified management to take IT into the next decade. We think that deserves a sigh of relief, and so will you.
VEDLIoT – A heterogeneous hardware platform for next-gen AIoT applications, Jens Hagemeyer, EU-IoT Training Session on “Machine Learning at the Edge and the FarEdge”, IoT Week (online event), August 2021
Lenovo Servers and Microsoft Azure: the future of the stackLenovo Data Center
Lenovo is one of three hardware partners for Microsoft Azure Stack, and was the only partner to demonstrate a working solution at Ignite. The document discusses Lenovo's integrated solution for Azure Stack using Lenovo servers and networking switches. It also provides details on Microsoft's Storage Spaces Direct feature, which is central to building highly available and scalable storage systems for Azure Stack. Lenovo aims to deliver Azure Stack as a turnkey solution with deployment services and centralized management through XClarity for simplified lifecycle management.
PPC64 Open ISA and A2I Core along with the PPC64 Open Hardware Notebook PCB and Libre-Soc project.
This year IBM released the A2I POWER processor core design and associated FPGA environment. In 2019 IBM opened the POWER Instruction Set Architecture (ISA). The Power Progress Community released the PCB of the Notebook Motherboard based on Power Architecture with Cern Open Hardware License. Libre-SOC is a software-hardware project that aims to deliver a physical POWER compliant SOC that comes complete with a CPU, GPU, VPU, and DDR controller. We will discover these concrete projects.
EU-IoT Training Workshops Series: AIoT and Edge Machine Learning 2021_Jens Ha...VEDLIoT Project
IoT - Accelerated Deep Learning for Cognitive Edge Computing, Jens Hagemeyer, EU-IoT Training Workshops Series – “AIoT and Edge Machine Learning”, May 2021
This document discusses Huawei's enterprise business, which has seen fast revenue growth in recent years. It outlines Huawei's focus on data center innovation through products like its unified ICT cloud OS, accelerated solid state storage solutions, and open platform for critical business applications. These solutions help customers simplify IT, increase business agility and flexibility, and lower costs. The document also reviews Huawei's progress in the storage and server markets and its portfolio of scalable and reliable data center infrastructure solutions.
The number of internet-connected devices is growing exponentially, enabling an increasing number of edge applications in environments such as smart cities, retail, and industry 4.0. These intelligent solutions often require processing large amounts of data, running models to enable image recognition, predictive analytics, autonomous systems, and more. Increasing system workloads and data processing capacity at the edge is essential to minimize latency, improve responsiveness, and reduce network traffic back to data centers. Purpose-built systems such as Supermicro’s short-depth, multi-node SuperEdge, powered by 3rd Gen Intel® Xeon® Scalable processors, increase compute and I/O density at the edge and enable businesses to further accelerate innovation.
Join this webinar to discover new insights in edge-to-cloud infrastructures and learn how Supermicro SuperEdge multi-node solutions leverage data center scale, performance, and efficiency for 5G, IoT, and Edge applications.
1) The document discusses how data growth is driving the need for more powerful data infrastructure to maximize data value.
2) It introduces Huawei's OceanStor Dorado all-flash storage solution and highlights its industry-leading performance, high reliability, and intelligent management capabilities.
3) Key innovations of OceanStor Dorado include its SmartMatrix architecture, FlashLink algorithms, intelligent caching technologies, and support for NVMe and NVMe over RoCE to deliver ultra-low latency and high throughput.
This overview of IBM's PureSystems™ family will highlight how key components of IBM Flex System Solutions and PureFlex offerings can save you time and money with:
1. System availability
2. Power consumption
3. Virtualization
4. Multiple platforms and operating systems
PureSystems brings together built-in expertise, integrated components, and simplified management to take IT into the next decade. We think that deserves a sigh of relief, and so will you.
VEDLIoT – A heterogeneous hardware platform for next-gen AIoT applications, Jens Hagemeyer, EU-IoT Training Session on “Machine Learning at the Edge and the FarEdge”, IoT Week (online event), August 2021
Lenovo Servers and Microsoft Azure: the future of the stackLenovo Data Center
Lenovo is one of three hardware partners for Microsoft Azure Stack, and was the only partner to demonstrate a working solution at Ignite. The document discusses Lenovo's integrated solution for Azure Stack using Lenovo servers and networking switches. It also provides details on Microsoft's Storage Spaces Direct feature, which is central to building highly available and scalable storage systems for Azure Stack. Lenovo aims to deliver Azure Stack as a turnkey solution with deployment services and centralized management through XClarity for simplified lifecycle management.
PPC64 Open ISA and A2I Core along with the PPC64 Open Hardware Notebook PCB and Libre-Soc project.
This year IBM released the A2I POWER processor core design and associated FPGA environment. In 2019 IBM opened the POWER Instruction Set Architecture (ISA). The Power Progress Community released the PCB of the Notebook Motherboard based on Power Architecture with Cern Open Hardware License. Libre-SOC is a software-hardware project that aims to deliver a physical POWER compliant SOC that comes complete with a CPU, GPU, VPU, and DDR controller. We will discover these concrete projects.
EU-IoT Training Workshops Series: AIoT and Edge Machine Learning 2021_Jens Ha...VEDLIoT Project
IoT - Accelerated Deep Learning for Cognitive Edge Computing, Jens Hagemeyer, EU-IoT Training Workshops Series – “AIoT and Edge Machine Learning”, May 2021
This document provides an overview of HPE solutions for challenges in AI and big data. It discusses HPE storage solutions including aggregated storage-in-compute using NVMe devices, tiered storage using flash, disk, and object storage, and zero watt storage to reduce power usage. It also covers the Scality object storage platform and WekaIO parallel file system for all-flash environments. The document aims to illustrate how HPE technologies can provide efficient, scalable storage for challenging AI and big data workloads.
This document provides an overview of efforts to port Android 10 to inexpensive single board computers like the Orange Pi using only open source components. It discusses the requirements to use the latest Android version, a cheap board, only open source projects, and to have a working solution out of the box. The document outlines the project structure, including mainline kernel with patches, Mesa for graphics, and upstream HWComposer and audio HAL projects. It provides timeline details for graphics and video driver mainlining. Supported boards currently include Orange Pi PC, Plus2e and Raspberry Pi 4, with plans to expand support. Building instructions are provided.
The document discusses the Internet of Everything (IoE) and connectivity challenges. By 2020, it is estimated that over 25 billion devices will be connected. The IoE brings challenges around discovering devices, identifying services, adapting to changes, managing diverse networks, enabling interoperability across operating systems, and securing connections. The AllJoyn framework and Wi-Fi connectivity help address these challenges by allowing smart devices to connect, interoperate and work together across brands and categories. The Qualcomm XSPAN Wi-Fi portfolio, including the QCA4004 system on chip, aims to enable ubiquitous connectivity for the IoE. Development tools are provided to help build applications for hostless "smart things."
The document discusses plans to establish an institutional high performance computing (HPC) facility at North-West University. It outlines the technical goals of building a Beowulf cluster to link existing departmental clusters and integrate with national and international computational grids. It also discusses management principles for the new HPC facility to ensure sustainability, efficiency, reliability, availability and high performance.
Plan with confidence: Route to a successful Do178c multicore certificationMassimo Talia
The modern approach Multi-Processor in the civil and military Embedded equipments certification. The Processor assessment is conduct by Rockwell Collins Inc., the operating system selection is conducted by Windriver Inc.
Supermicro AI Pod that’s Super Simple, Super Scalable, and Super AffordableRebekah Rodriguez
The worlds of HPC and AI are evolving at a tremendous rate. The demands of modern-day applications put immense pressure on local IT teams and resources. More often than not, this pressure can come from requiring an AI strategy to speed up mission-critical applications - but this can come at a cost which can hinder adoption. In this webinar, Supermicro, together with International Computer Concepts (ICC) and Define Tech, will demonstrate their AI Super Pod that delivers on AI strategy needs without breaking the bank.
This document introduces and promotes several innovative ICT solutions from Huawei, including their Agile Wi-Fi solution, eLTE broadband solution, high-end storage, high-end server, and data center solutions. It highlights key benefits such as unified authentication and management, high performance exceeding traditional alternatives, intelligent planning and automation tools, and support for critical systems. The overall message is that Huawei's enterprise ICT solutions can help businesses get prepared for fast and stable growth with leading technologies that ensure critical systems run smoothly.
George Grey, CEO of Linaro, discusses Linaro's mission of leading collaboration in the ARM ecosystem. He outlines trends like ARM expanding from mobile into other areas like sensors and data centers. Linaro's focus is on building shared open source software platforms to enable cross-vendor support and security updates. Future plans include reference platforms for IoT devices, gateways and digital homes to help products "just work" together and receive long term support.
LAS16-100K1: Welcome Keynote
Speakers: George Grey
Date: September 26, 2016
★ Session Description ★
George Grey, CEO of Linaro will welcome attendees to the conference and give an update on the latest projects taking place at Linaro.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-100k1
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-100k1/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
The JetStor SAS 780JH is a ultra high density 19-inch 4U rackmount JBOD unit. It features the latest SAS2 (6Gb/s) or SAS3 (12Gb/s) interface and designed to fit in with environments that need highly reliable and relentless data growth. The JetStor SAS 780JH is also a versatile Disk Expansion system, ideal for high capacity and scalability storage in IT demands. Based on 6G SAS2.0 or 12G SAS3.0 technology, the JetStor SAS 780JH supports the choice of SAS2 or SAS3 and SATA3 drive configurations to deliver the best cost-performance index with higher bandwidth.
JetStor SAS 780JH comes with a single controller, 80 hot-swappable bays and is perfect for Big Data, Hadoop, HPC (High Performance Computing), ZFS and Microsoft Windows Server 2012 projects.
Intels presentation at blue line industrial computer seminarBlue Line
This document provides an overview of Intel Corporation in 2014. It discusses Intel's mission to bring smart, connected devices to everyone using Moore's Law. Over 75% of Intel's business is outside the US, with key focus areas including data center, client, ultra-mobile, and wearables/IoT. Intel has a track record of executing Moore's Law and developing new process technologies like 14nm. The document outlines Intel's various business groups and labs focusing on areas like the internet of things. It provides a roadmap for Intel gateways for IoT and discusses Intel's history and position as the world's largest semiconductor manufacturer.
Convergence of device and data at the Edge CloudMichelle Holley
Ever growing need of Intelligent Systems evolves analytics and decision making into AI with Machine Learning as tools for knowledge assimilation. What is essential for ML is a form of data that has inherent information that can be translated to useful information (intelligence) for decision making. IoT is the key for intelligent systems as they collect data at every end point. They are like ends of neuron network in human body. And the data collected has to be refined for decision making as it traverses up to the brain (AI Cloud) – like lymph nodes we have Edge Clouds. We will explore in this short talk two aspects of such IoT infrastructure where you have lossy network for IoTs, gateway options for device data and how it can seamlessly integrate with Edge Cloud Networks. We will review such protocols as Wireless Mesh, programmable gateways and extension of overlays into the Cloud.
Speaker: Murali Rangachari, Futurewei Technologies
IEEE Computer Society Phoenix Chapter - Internet of Things Innovations & Mega...Mark Goldstein
Mark Goldstein, President of International Research Center delivered his fifth annual deep dive into the Internet of Things Innovations & Megatrends to the IEEE Computer Society Phoenix Chapter (http://ewh.ieee.org/r6/phoenix/compsociety/) exploring the next Internet revolution, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years. Waves of change will roll through home, business, government, industrial, medical, transportation, and other complex ecosystems. We examined how IoT will be implemented and monetized creating new business models from pervasive sensor deployments, data gathering, and advanced analytics, driving societal transformations accompanied by new privacy and security risks. View to explore IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities in this presentation.
IEEE CS Phoenix - Internet of Things Innovations & Megatrends 12/2/15Mark Goldstein
Mark Goldstein, President, International Research Center (http://www.researchedge.com/) presented on the Internet of Things Innovations & Megatrends exploring the next Internet wave, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years. Waves of change will roll through home, business, government, industrial, medical, transportation, and other complex ecosystems. This presentation examines how IoT will be implemented and monetized creating new business models from pervasive sensor deployments and data gathering, accompanied by new privacy and security risks. And it explores IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities.
Why the yocto project for my io t project elc_edinburgh_2018Mender.io
This document summarizes a presentation about using the Yocto Project for IoT projects. It discusses the challenges of embedded Linux development and introduces the Yocto Project as a build system that can address these challenges. It provides an overview of the Yocto Project workflow and features like its layer-based structure and SDK support. Finally, it outlines benefits of using the Yocto Project for IoT projects, including support for common IoT protocols and the ability to customize software for specific hardware.
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The document discusses plans to establish an institutional high performance computing (HPC) facility at North-West University. It outlines the technical goals of building a Beowulf cluster to link existing departmental clusters and integrate with national and international computational grids. It also discusses management principles for the new HPC facility to ensure sustainability, efficiency, reliability, availability and high performance.
Plan with confidence: Route to a successful Do178c multicore certificationMassimo Talia
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The worlds of HPC and AI are evolving at a tremendous rate. The demands of modern-day applications put immense pressure on local IT teams and resources. More often than not, this pressure can come from requiring an AI strategy to speed up mission-critical applications - but this can come at a cost which can hinder adoption. In this webinar, Supermicro, together with International Computer Concepts (ICC) and Define Tech, will demonstrate their AI Super Pod that delivers on AI strategy needs without breaking the bank.
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LAS16-100K1: Welcome Keynote
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★ Session Description ★
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★ Resources ★
Etherpad: pad.linaro.org/p/las16-100k1
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-100k1/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
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Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
2. Huawei: Leading provider of ICT infrastructure and smart devices
Bring digital to every person, home and organization for
a fully connected, intelligent world
Vision & mission
170+
countries and regions
120,000+
active patents held globally
(*Huawei has one of the world's largest patent portfolios)
207,000
employees
55.4%
of employees work in R&D
No. 4
in global R&D investment
3. 3
Innovation & R&D Spendings
Source: https://www.epo.org/news-events/press/releases/archive/2023/20230328.html
Source: https://iri.jrc.ec.europa.eu/scoreboard/2022-eu-industrial-rd-investment-scoreboard
27.9
21.8 21.6
19.5 19.3
16.8
15.6
13.4
5.8
4.1 4.0
Source: 2022 EU industrial R&D Investment scoreboard, 13 Dec 2022 published
Total: 13.9
(€Bn)
TOP 8 Top 30~50
Global R&D Investment in 2022:
Huawei is Leading in ICT Industry
120,000+
active patents held globally
4. 4
Serving 256 of the Global 500 companies worldwide
Weaving technologies
into industry scenarios
Business units
Scenario-specific
technologies
Partner
cooperation
Serving SMEs
through partners
Process and
organization
optimization
More appropriate
products and
solutions
Partner
enablement
Industry solutions
Working with partners to
develop industry solutions
Cloud
Building a cloud base for
the intelligent world
Product Solution
Providing product portfolios through
multi-technology synergy
Products
Connectivity, storage, cloud,
and AI
Government BFSI Electric
power
Oil and
gas
Mining Rail Airport Highway Port Manufacturing Internet Education Healthcare Real
estate
SME
Huawei Proprietary - Restricted Distribution
5. 5
Huawei OceanStor trusted by 18,000+ Global Customers
Media
Finance Carrier Manufacturing Energy Health
Huawei Proprietary - Restricted Distribution
6. 6
Huawei All-Flash Storage recognized in the Industry
Interop Grand Prize
The Server & Storage category
A global IT consulting organization
known for extensive analysis and
objective reviews in enterprise
storage and cloud computing
Ranked Recommended by DCIG
Listed in Top 5 High-end Storage Array List
A major event in global business
technology that recognizes the
most competitive products
A leading technology research and
consulting company and provides
the world's most trusted source of
independent IT research and advice.
2021 Gartner Peer Insights
Customers' Choice for Primary Storage Arrays
Huawei Proprietary - Restricted Distribution
7. 7
Gartner through the years
Source: Gartner Magic Quadrant for
Primary Storage
Gartner Magic Quadrant:
Leader
2014: Challenger
2015: Top in Challenger
2010: Niche Player
2016: Leader
2022
2017
2018
2019
2020
2021
Huawei Proprietary - Restricted Distribution
10. 10
Storage Product Positioning
OceanStor & OceanStor Dorado
Enterprise Storage
OceanProtect
Data Protection Storage
OceanStor Pacific
Scale-out Storage
Modern agile unified code base
• Designed for flash, ultra low latency and highest availability
• 2 main releases per year
• Base for all storage product lines
Huawei Proprietary - Restricted Distribution
12. 12
OceanStor Dorado Features
NVMe over FC/RoCE SMBv2/v3 NFSv3/v4/v4.1
SmartQoS
Intelligent QoS control
SmartCache
Intelligent multi-tier cache
SmartQuota
Quota management
SmartTier
Intelligent tiering
SmartDedupe & SmartCompression
Intelligent data reduction (deduplication
and compression)
HyperReplication
Remote replication
HyperSnap/HyperCDP
Snapshot/Continuous data protection
SmartMulti-Tenant
Multi-Tenancy
Internal DNS
Built-in DNS load balancing
Audit Log
Audit log
NDMP/FTP/HTTPS
HyperLock
WORM file system
HyperMetro
Active-active
HyperVault
All-in-one backup
HyperClone
Clone
Antivirus / Antiransom
Antivirus
SmartVirtualization
Heterogeneous virtualization
SmartMigration
Online LUN migration
Intelligent thin provisioning
SmartEncrypt & SmartErase
Data encryption and destruction
SmartContainer
Built-in container
FC/iSCSI
SmartMigration
SmartThin
Huawei Proprietary - Restricted Distribution
13. 13
E2E Symmetric NVMe Architecture
NVMe over Fabrics (RoCE)
Smart disk
enclosure
Smart disk
enclosure
Smart disk
enclosure
Smart disk
enclosure
Smart disk
enclosure
Smart disk
enclosure
Smart disk
enclosure
SAN and NAS client access protocols
Controller Controller Controller Controller
Front-end
interface
module
Front-end
interface
module
Back-end
interface
module
Back-end
interface
module
Controller enclosure
Controller Controller Controller Controller
Front-end
interface
module
Front-end
interface
module
Back-end
interface
module
Back-end
interface
module
Controller enclosure
Smart disk
enclosure
Fully distributed
Full Mesh
Full PCI-Express
Active-Active
Auto Load-balancing
32 controllers
Switched Backend
6400 NVMe‘s
Huawei Proprietary - Restricted Distribution
14. 14
Smart Disk Enclosures
Controller enclosure
Controller Controller Controller Controller
Smart SSD enclosure + computing
power platform
Smart SSD enclosure + computing
power platform
Front-end
interface module
Front-end
interface module
Front-end
interface module
Front-end
interface module
Back-end
interface module
Back-end
interface module
Back-end
interface module
Back-end
interface module
30 min/TB 15 min/TB
Data reconstruction time
15% 5%
Impact on controller
performance (maximum IOPS)
Data
reconstruction
Data
reconstruction
• has 2 control boards with built-in computing platform
& own memory
• take over workloads like data reconstruction, GC,
compression from controllers
2U / 36 palm-sized NVMe
Huawei Proprietary - Restricted Distribution
15. 15
Proper cooling for 36 NVMe’s
36 palm-sized NVMe on 2U
Huawei Proprietary - Restricted Distribution
16. 16
Palm-size Smart NVMe
• Higher density 36 / 2 RU (14.5 9.5mm width)
• Intelligent Controller Chip
• PCIe direct connection to the CPUs via own Controller chip
• Write latency halved 40 μs 20 μs on NVMe
Huawei Proprietary - Restricted Distribution
17. 17
Up to 6400 NVMe
Smart-Disk-Enclosure
Add CPU and disks
2x 100Gb RDMA
2x 100Gb RDMA
…
RDMA – the fastest possible
data transfer for applications
that work with multi-CPUs.
Data from IO buffer > App
Huawei Proprietary - Restricted Distribution
18. 18
Intelligent Multi-Protocol Interface Module
• 8 Gbit/s, 16 Gbit/s, and 32 Gbit/s FC
• 10GE, 25GE, 40GE, and 100GE
• Offloading protocol parsing from general-purpose CPUs,
reducing access latency by 50% (160 μs to 80 μs)
Huawei Proprietary - Restricted Distribution
21. 21
SmartMatrix
Ever solid architecture
• Tolerates failures of
up to 7 controllers
out of 8
BIM**
CPU
CPU CPU CPU
FIM*
Global cache
BIM
CPU CPU
CPU
CPU
FIM
Global cache BIM
CPU
CPU
CPU
CPU
FIM
Global
cache
BIM
CPU
CPU
CPU
CPU
FIM
Global
cache
*Front-end interconnect I/O module (FIM)
**Back-end interconnect I/O module (BIM)
SmartMatrix
• Tolerates failures of
up to 3 controllers
out of 4
Huawei Proprietary - Restricted Distribution
• Tolerates failure of
up to 31 controllers
out of 32
23. 23
Front-End Sharing
Ctrl.0 Ctrl.1 Ctrl.2 Ctrl.3
FC switch
Server
Host view: same as the common FC port
• One physical port, one physical link
• One port, one WWN for the host
WWN: 2100xxxxabcd
Internal view: four ports for sharing host
link information
• Each controller is connected to one physical port
• Controllers share the session information of one host
Inline balance
Balanced distribution of host access
requests among controllers
• Uses the active-active balance logic and automatically
distributes the links to the corresponding controllers
Huawei Proprietary - Restricted Distribution
24. 25
Ascend AI-Processor
Part of the Da-Vinci architecture
Full-stack AI Software/Hardware platform
Huawei Proprietary - Restricted Distribution
25. 26
Prevention Monitoring & Response
Data
Northrop Grumman's Defense in Depth (DiD) model
Storage, the ultimate carrier of data, safeguards data
by making it immutable and recoverable.
Natural disasters Cyber attacks
Production zone
Passive response Proactive defense
Isolation zone for production Isolation zone for backup
OceanCyber
• Detection & analysis*
• Sercurity Policy
• Proactive defense
OceanProtect
Backup Storage
OceanStor Dorado
OceanStor Pacific
Production Storage
Anti-tamper
OceanProtect
OceanProtect
OceanProtect
Isolated storage for
back up
Air Gap Air Gap
OceanStor Dorado
OceanStor Pacific
Isolated storage for
production
1
3
2
4
4
Quick service recovery and
reduced data loss
Protecting data from dormant
ransomware
…
Secure snapshot | WORM* | Replication link encryption | Protocol encryption* | Storage encryption | Air Gap
Comprehensive Protection
Detection & analysis
Secure snapshot recovery
Backup recovery
Air Gap recovery
1
3
2
4
Accurate Identification Rapid Recovery
• Industry-leading 99.9% identification
• Ransomware detection pre-. in-, and
post-event
• Snapshots, seconds-level recovery
• OceanProtect, up to 172 TB/hr recovery
Ransomware Protection Storage Solution
Build-in Ransomware Protection
Huawei Proprietary - Restricted Distribution
26. 27
OceanCyber 300 Data Security Appliance
• Periodically creates snapshots for the detected
file system and performs intelligent detection
against ransomware based on the snapshot copy
data
• AI-based detection of snapshot copy changes
Huawei Proprietary - Restricted Distribution
27. 28
Integrated Parallel Architecture for both SAN and NAS
• SAN & NAS integrated parallel
software architecture
• SAN and NAS services share the global
storage pool and the global cache.
• Compared with the traditional architecture,
the parallel architecture provides the
shortest I/O paths for LUNs and file
systems, improving storage efficiency.
• The spaces of LUNs and file systems are
independently managed, enhancing
reliability.
SAN space
management
SCM NVMe SSD
Storage pool
NAS file system
iSCSI/FC/NOF NFS/CIFS
Hot and cold
data separation
FlashLink
Global wear leveling
ROW full-stripe
write
Global garbage
collection
Global
deduplication
Post-process similarity-
based deduplication
Data Services
Smart series: Thin provision, cache, QoS, tier, quota
Hyper series: Snapshot, replication, clone, WORM*
Global cache
Huawei Proprietary - Restricted Distribution
28. 29
Active-Active SAN & NAS
Hyper Metro
SAN
Workload
NAS
Workload
SAN
Workload
NAS
Workload
Both sides are readable and writable at the same time
FC, IP, RoCE
Huawei Proprietary - Restricted Distribution
29. 30
EC instead of conventional RAID
Huawei Proprietary - Restricted Distribution
30. 32
Distributed File System: State of the Art
Node n
Node 1
Aggregat
Aggregat
RAID … RAID
RAID … RAID
FlexGroup
FlexVol 3 FlexVol n
FlexVol 1 FlexVol 2
FS FS
FS FS
Conventional
Node n
Node 1
Storage pool
File system 1 .. n
Huawei
Comparison
Complex decisions Default no decision necessary
Complex O&M Easy O&M
Scale-out to 24 nodes Scale-out to 32 nodes
For selected workloads only For all workloads - default
Huawei Proprietary - Restricted Distribution
32. 34
Container Integration
Containerized applications
Container management platform
Huawei CSI*
*CSI: container storage interface
*CDR: container disaster recovery
Huawei CDR*
Backup Recovery
App mgmt Policy mgmt
Replication protection
NAS storage
OceanStor Dorado & New-Gen
OceanStor Hybrid Flash Storage
Snapshot
File
system
Clone
File
system
Snapshot
Clone
Reduced backup cost: Application-level backup and recovery
without additional backup software, reducing TCO.
Fast recovery: Services are available immediately after
recovery, ensuring data security.
Benchmarking competitors: backup and disaster recovery
software based on data replication on storage systems, such
as Portworx (Pure Storage) and Astra (NetApp)
Professional CDR Container DR Management
Easy to use: Standard CSI, on-demand storage resource
provisioning, easy to use.
Fast service provisioning: Batch service provisioning is 30%
faster than the industry average.
Standard CSI Support for Efficiency and Simplicity
NAS storage
OceanStor Dorado & New-Gen
OceanStor Hybrid Flash Storage
Huawei Proprietary - Restricted Distribution
34. 36
Tenant-based SmartQoS
Tenant B Tenant C
FS1
FS2
FS3
FS1
FS2
FS3
Tenant A
FS1
FS2
FS3
Storage
administrator
Tenant QoS control
Critical service isolation
QoS: 800 MB/s
QoS: 200 MB/s
1 GB/s
700 MB/s
300 MB/s
800 MB/s
200 MB/s
Tenant-level file system QoS control
• Tenants can customize QoS policies for IOPS and
bandwidth.
• Policies of different tenants are isolated and invisible to
each other.
• Administrators can perform operations on the QoS
policies of all tenants.
Upper limit control
• Limits the IOPS, bandwidth, and latency.
• Supports bursts, allowing short-term breakthrough of
limits.
Lower limit guarantee
• Supports the setting of minimum performance indicators.
Huawei Proprietary - Restricted Distribution
36. 38
host host host
source
LUN
target
LUN
• Up to 3GB/s
• 0 downtime
Migration speed
Downtime
• Unix standalone and RAC
• VMware
• x86 Linux
• Native Multipath and UltraPath
Scenarios
SmartMigration for SAN with 0 downtime
Huawei Proprietary - Restricted Distribution
Serverless Migration for NAS
available as well
37. 39
AI based O&M and Automation
DME IQ
DeviceManager
Cloud brain for intelligent O&M
Execution engine for automated
management
Intelligent devices for simplified
configuration
Cloud AI
Center AI
Device AI
Automated engine Prediction engine
Policy engine Analytics engine
Automated-
learning
Automated-
optimization
Expert experience
Model training
Intelligent prediction
Call Home
DME
AI model training and
application
AI inference and
execution
Built-in AI chip
and algorithm
Three-Layer AI for Full-Lifecycle Data Management
Huawei Proprietary - Restricted Distribution
40. 42
Short Release Cycles
2019
Intelligent hardware
OceanStor Dorado
3000/5000/
6000/8000/18000
Win Interop Grand
Prize again
Ranked Recommended
by DCIG
OceanStor Dorado
3000/5000/
6000/8000/18000
2020
NVMe over RoCE
2021
OceanStor Dorado
3000/5000/6000
/8000/18000
NAS A-A Metro
All-flash
data center
2022
OceanStor Dorado
3000/5000/6000
/8000/18000
Highly
recommended
Ransomware
protection
OceanStor Dorado
Innovation every 6 month
2020
2021
2022
2023
E2E - NVMe
SCM, NVMeoF …
Build-in container …
NAS real A-A …
Cloud backup …
Anti-Ransomware …
…
Huawei Proprietary - Restricted Distribution
41. 43
RoCE SAN Switches for extreme NVME-oF
• Small: 10/25/50/100G fixed RoCE switch
• Medium: 100G configurable blade-based RoCE switch
• Large: 100/400 director with
redundant backplanes
192/384/768 ports
Huawei Proprietary - Restricted Distribution
42. 44
Carrier-grade Manufacturing
SMT - Surface Mount Technology
Industry-leading quality (aging test, function test, temperature
cycle test, and device commissioning). In 2021, the Defective on
Arrival (DOA) rate of enterprise datacom products was 42 PPM
(one per million), which is only about 1/3 of the industry level.
Why Huawei can supply goods without delay: Huawei started to
build the BCM system 10 years ago. The BCM system is more
costly but can resist various external risks. Level-3 strategic
reservation is performed for risky materials, and multi-
node/multi-path/multi-echelon logistics is implemented.
Industry-leading manufacturing Advanced supply chain
Huawei Proprietary - Restricted Distribution
43. 45
Germany
UK
Spain
Portugal
Switzerland
Netherlands
Belgium
Luxemburg
Italy
Poland
Hungary
Czech
France
Austria
4H countries:
24/7 Support 109 FSL Deliver 9000+parts/year
1 RSLC and 31 CSLC
Sweden
Denmark
Greece
Lithuania
Norway
Finland
Serbia
Macedonia
Bulgaria
Croatia
Ireland
Slovakia
Turkey
Ukraine
FSL
Esch
FSL
Innsbruck
FSL
Graz
CSLC
Wien
CSLC… Country Spare Parts Location Center
FSL… Field Stock Location
Austria 4H Spare Parts Locations
Austrian Spare Parts Centers for 4H Service SLA
Located in Bucharest, Romania, EU RSPC Provides professional spare parts
service for Europe as remote and centralized delivery platform.
Huawei Proprietary - Restricted Distribution
44. 46
Challenges
Huawei
Actions
Sea Transportation
demand: EU/China trade 30% ↑
Port congestion: weather, strike and
pandemic
Soaring price : up to 5 times
Air transportation
Demand: increased by 9.4%
Major Airport Congestion: Amsterdam,
Frankfurt, etc.
Soaring price: 2-3 times
1. Develop new hub – Koper and
Port of Piraeus
2. Improve Rotterdam efficiency
1. Build up Budapest Hub to connect whole
Europe with
Hungary DC
Netherlands DC
Valwijk Factory
Area: 21000 m2
Employees: 40+
Products: IP product, inverter
Komárom Plant
Area: 20000 m2
Employees: 300+
Products: DWDM, Networking
Patty Factory
Area: 13600 m2
Employees: 300+
Products: Wireless, Networking
Europe Supply Center
Est. in 2009, includes Hungary DC (two factories) and
Netherlands DC (one factory). Has the capability to fulfill all ICT
products & provides supply services for 40 + countries.
Logistics and Supply Chain
Huawei Proprietary - Restricted Distribution
45. Huawei Proprietary - Restricted Distribution
47
Innovative Data Infrastructure Forum 2024
IDI Forum 2022 IDI Forum 2023
Europe
The Middle
East and
Central Asia
Latin
America
Asia-
Pacific
IDI Forum 2024 Global Tour
First Stop: Berlin, Germany
May 7, 2024
Huawei Data Storage Flagship Event
See you there!
Huawei wurde 1987 von Ren Zhengfei mit ca 5000 $ startkapital gegründet und ca. 20 Mitarbeiter. Heute ist das Unternehmen ein führender Provider von ICT Infrastruktur und Smart Devices,
in mehr als 170 Länder vertreten und hat mehr als 200.000 Mitarbeiter.
Es fällt auf, dass über 55% davon in der Forschung und Entwicklung tätig sind.
Entsprechend groß fällt die Patentdatenbank aus, mit 120.000 aktiven Patenten.
Hier auf der rechten Seite sehen wir die Statistik der EU Komission für jährlichen Ausgaben für R&D im privaten Sektor. Mit ca. 19Mrd reiht sich Huawei an vierter Stelle ein. Das ist mehr als die Plätze 30-50 zusammen.
Auf der linken Seite sehen wir eine Statistik des Europäischen Patentamtes für die Top 10 Patentantragsteller. Diese Liste wird von Huawei seit 6 Jahren angeführt.
Mehr als 256 Unternehmen der globalen Fortune 500 digitalisieren mit uns.
37 der Top 50 Telekoms der Welt arbeiten mit uns zusammen.
Mehr als 18.000 Unternehmen vertrauen auf unsere Speichersysteme.
Diese werden quer über alle Bereiche eingesetzt.
Ebenfalls auf dieser Folie ist mit ICBC das größte Unternehmen der Welt.
Und entsprechend reagieren die Analysten mit guten Meldungen.
Wenn wir uns hier die Mitte mal genauer anschauen…
… so sehen wir, dass uns Gartner in den letzten 8 Jahren kontinuirlich hochgestuft hat.
Das spiegelt sich natürlich in den Verkaufszahlen zum externen All-flash Speichermarkt wieder. Wachstum von über 30% im Quartal waren die Norm.
Und in Q3 2023 haben wir es dann geschafft.
Wir haben auch die Dell überholt und sind weltweit all-Flash Lieferant Nummer 1.
Diese Entwicklung macht uns besonders Stolz.
Werfen wir einen Blick auf die Positionierung der Speichersysteme.
Ganz links die Enterprise Systeme, die absolute Konvergenz für File, Block und Object bieten und eine shared Architektur aufweisen.
In der Mitte haben wir die scale-out Systeme, die massive Skalierung auf mehrere Tausend Controllern erlauben und
ganz Rechts ist der Backup Storage bekannt auch als VTL.
Die Basis für die gesamte Familie ist ein hochmodernes Betriebssystem, designed für flash, low-latency und höchste Verfügbarkeit.
Schauen wir uns die Enterprise Systeme genauer an…
Die Familie ist nicht untypisch in Entry Level, Mid-Range und High-End geteilt.
Hier fällt sofort auf, dass selbst die kleinste Maschine auf bis zu 8 Controller skaliert und bis 400 SSDs aufnehmen kann.
Das ist bei manch ein Anderer so ziemlich das absolute High-End.
An Connectivity ist von Fibre Channel, 100G Ethernet bis hin zu 100G RDMA/RoCE alles verfügbar was man sich nur wünschen kann.
Hier sehen wir auf einen Blick die Software Features.
Alle Maschinen unterstützen sowohl SAN als auch NAS,
Verfügen über eine Globale inline Deduplizierung, können tiering, QoS, Virtualisierung,
sind Mandantenfähig und KPMG zertifiziert für WORM,
unterstützen Metrocluster zweischen 2, 3 oder 4 Rechenzentren.
Die Systemarchitektur ist eine full-Mesh E2E symmetrische Architektur auf Basis von NVMe und PCI-express.
Bis 32 Controller können als Active-Active betrieben werden.
Und wir haben einen voll geswitchten NVMe Backend, der über RDMA angesprochen wird und bis zu 6400 NVMe‘s aufnehmen kann.
Diese Masse an NVMe’s verpacken wir in Smarte Disk Enclosures.
Diese besitzen zwei vollständige Compute Platformen mit eigenen CPUs und Memory und sind in der Lage Tätigkeiten wie GC, Data Reconstruction oder Datenkompression eigenständig auszuführen ohne dabei die Storage Controller zu belasten.
Wir sind in der Lage 36 NVMe auf nur 2 RU unterzubringen.
Und zwar 36 Stück bei anständiger Kühlung.
Dafür haben wir eine horizontale Backplane patentiert, die eine 40% bessere Kühlung ermöglicht.
Die NVMe selbst sind über zwei Anschlüsse angeschlossen und sind im laufenden Betrieb tauschbar.
Seit mehr als 15 Jahren designen wir unsere Enterprise SSDs selbst und können sie daher an unseren extrem hohen Anforderungen anpassen.
Der Controller-Chip, den wir hier sehen ist ebenfalls eine Eigenentwicklung. Er unterstütz DDR4 und 8x PCIe und zeichnet sich durch hohe Leistung und geringen Stromverbrauch aus und verwendet verbesserte ECC- und integrierte Technologien, um die Lebensdauer der SSDs drastisch zu erhöhen.
Er unterstützt vollständig die FTL-Hardwarebeschleunigung und bietet eine stabile Leistung bei geringer Latenz.
Diese Smart Disk Enclosures schliessen wir über mehrere 100G RDMA Links an.
Die High-End Systeme können bis zu 400G nutzen,
Bei den Mid-Range und Entry-Level Systeme sind es 200G, über zwei Links.
Fügen sie mehr Kapazität hinzu, so bekommen sie automatisch auch mehr Performance!
Inteface Module sind muti-Protokollfähig.
Auch dieser Kontroller-Chip ist eine Eigenentwicklung.
Zum einen ermöglicht er ein komplettes Protokoll-Offloading,
zum anderen ermöglicht er uns den Treiber in den User-Space des Betriebssystems zu versetzen und damit Firmware-Updates ohne reboots zu ermöglichen.
Aber gehen wir einen Schritt zurück.
Alles fängt mit der CPU an.
Natürlich designen wir unsere eingenen CPUs. Es gibt mehrer Gründe dafür.
Es ist die erste ARM basierte Datacenter CPU, gefertigt in 7nm Verfahren.
Es ist ein SoC,
und implementiert direkt Encryption, Compression und Offloading für RAID und EC.
Und es ist eine RISC CPU. Aber was macht RISC CPUs besonders?
Die lassen sich sehr gut miteinander Verschalten, damit können Supercomputer gebaut werden.
Bis zu 192 64-core CPUs können wir direkt chip-to-chip über RDMA Kanäle miteinander verschalten und Speichersysteme wie Supercomputer bauen.
Damit sind wir in der Lage enorm viel Compute-Power zu integrieren. Und die brauchen wir für die extreme Performance von so vielen NVMe’s, oder compute intensiven Tasks wie Container oder das S3-Protokoll.
Und so sieht die Verbindung zwischen 32 Controller aus.
Wir sagen SmartMatrix dazu.
Die Verbindungen hier zwischen alle 32 Controller sind geswitched.
Die SmartMatrix kann zB. 3 von 4 oder 7 von 8 oder 31 von 32 Controller-Ausfälle tollerieren.
Weiter sind Frontend und Backend Interface Module über alle verfügbaren Controller geshared und gleichzeitig mit allen verbunden.
Dies ermöglicht
ein permanentes und automatisches Load-Balancing sowohl im Frontend als auch im Backend
völlig transparente Controller-Failover
LUNs von mehreren Controllern gleichzeitig zu bearbeiten
IO’s ausbalansiert auf die SSDs aufzuteilen
In der Praxis bedeutet das
wir können WWNs zum Host 100% Verfügbar halten, egal wie Speichersystem-intern Pakete geroutet werden
Datentraffik muss für Failover-Zwecke nicht angehalten werden.
Je mehr Controller zusammengesteckt werden, desto größer wird der Cache.
Der Cache ist Global
und wird zwischen mindestens 3 Controllern permanent gespiegelt.
Bis zu 32T DRAM cache können wir in die Systeme verbauen.
Ein diskreter AI-Prozessor analysiert permanent das IO-Verhalten und optimiert den Cache.
Damit holen wir noch mehr Systemperformance aus dem Cache heraus.
Der AI-Prozessor kümmert sich ebenfalls um die eingebaute ransomware-Protection.
Diese ist in 4 Schritten implementiert.
Detection und Analyse mit darauffolgende Recovery über
Secure Snapthots,
Backup Systeme oder
mittels AirGap isolierten Storage.
Falls mehrere Speicher- und Backupsysteme eingesetzt werden, so übernimmt eine Security Appliance die Steuerung über RESTful APIs und synchronisiert den gesamten Ablauf.
Hier wird wiederum mit viel Machine Learning gearbeitet.
Schauen wir uns mal die SW-Architektur näher an.
Wir implementieren nicht einfach SAN auf NAS oder NAS auf SAN.
Es ist eine gleichberechtigte Architektur.
Ganz oben sehen wir die Protokolle, dann kommen die Datenservices, wie Thin-Provisioning oder WORM oder QoS,… dann greift der globalen Cache, erst dann findet ein getrenntes Space management für SAN und NAS statt und dann greifen ebenfalls global die Algorithmen auf den Storage Pool, wie zB
Hot und Cold Datentrennung
Garbage collection, Globale Deduplizierung, wear leveling, usw.
Die active-active Architektur ist natürlich für SAN und NAS gleichzeitig Verfügbar. Auch bei synchroner Replication und auch wenn beide Seiten zum schreiben offen sind.
Dei Replikation selbst kann über FC, IP oder RoCE erfolgen und
ist unabhängig davon wie auf die Maschinen Daten geschrieben warden.
Im globalen Storage Pool über alle Platten hinweg wird Erasure Coding eingesetzt.
Wir verweden keien RAIDs oder RAID-Gruppen.
Über unterschiedliche Medien können wir tieren.
Unterschiedlich große NVMe’s können gemischt werden.
Wir können um einzelnen Disken erweitern.
Wenn eine große Disk ausfällt, kann diese transparent selbst auf mehreren, kleineren rekonstruiert werden.
Das Globale distributed Filessystem ist sehr fine granular implementiert
und ohne Einschränkungen auf bestimmten Workloads oder Blockgrößen.
Es setzt direkt auf dem Storage Pool auf.
Es wird automatisch über alle verfügbaren Controller verteilt und skaliert sehr effizient.
Große Filesysteme werden für load-balancing Zwecke von mehreren Controllern gleichzeitig bearbeitet.
Das passiert automatisch.
Der Multiprokoll-Zugriff auf die selben Daten versteht sich naütlirch von selbst.
Dafür sind auch keine Gateways notwendig.
Rechte zwischen Windows und Linux/Unix-Welten können feingranular verwaltet werden.
Mehrere Directory Services können gleichzeitig eingesetzt werden.
Dabei können die Rechte aus der AD die LDAP-Rechte überschreiben oder umgekehrt,
oder beide können zusammengeführt werden.
RBAC ist ebenfalls möglich.
Die mächtige Compute Power erlaubt uns unter anderem eine vollständige Container Management Platform auf Basis von Kubernetes zu integrieren.
Damit kann die Art und weise wie Container geschützt, gespeichert oder in hybriden Multi-Cloud Umgebungen bewegt werden, enorm vereinfacht werden.
Natürlich haben wir CSI und CDR plugins.
Damit wissen die Container über die HW-Funktionalitäten des Storage bescheid.
Natürlich sind die Systeme auch vollständig Mandantenfähig.
Diese spielen eine wichtige Rollen bei der Konsolidierung und bieten Isolierung in 3 Schichten an. Verschiedene User können in verschiede Mandanten konfiguriert werden.
Diese User haben Zugriff nur auf die ihnen zugewiesenen Ressourcen.
Netzwerke sind über Mandanten isoliert.
Auch die Filesysteme sind von einander isoliert.
Und es existiert jeweils eine eigene Instanz für den Protokollstack.
Die Mandanten können mit QoS ebenfalls verknüpft werden.
IOPS,
Bandbreite und
Latency können fix zugewiesen werden
Diese sind zwischen Mandanten natürlich unsichtbar.
Minimal-Werte können garantiert werden.
Burst sind erlaubt, falls die momentane Systemauslastung das natürlich zulässt.
Hier ein Beispiel für eine komplexe Storage Konsolidierung.
Wir haben die verschiendenen Storage Pools…
Darauf die Datenreplizierung, Spiegelung oder Cloning…
Darauf die unterstschiedlichen Storage Klassen mit zugewiesenen QoS…
Altsysteme können wir mit SmartMigration im SAN virtualisieren und
Daten unterbrechungsfrei übernehmen.
NAS Migrationen machen wir Server-less.
Lediglich ein kurzer restart ist Protkollbedingt notwendig, damit die neue IP-Adresse greift.
Wir bieten intelligente Betriebsführung mit AI in drei Schichten an.
Einzelne Systeme werden über den DeviceManager gemanaged.
Dieser nutzt u.a. den eingebauten AI-Prozessor für Predictions und Trend Analysen.
Darüber kommt die Data Management Engine, kurz DME genannt. Diese ist Storagesystem übergreifend und kann z.Bsp. ein Storage Service Katalog direkt integrieren und den Storage in ITSM-Tools einbinden.
Damit lässt sich die Automatisierung der Storage-Umgebung realisieren.
Auch eine vollständige integration in Change-, Incident- und Abrechnungsprozesse ist möglich.
Integration in Ansible Runtime oder Ansible Tower ist direkt möglich.
Mit dem DME IQ in der Cloud bilden wir Funktionen wie Call Home oder Intelligent Prediction ab.
Der DeviceManager ist integriert und steht kostenfrei zur Verfügung.
Er basiert vollständig auf HTML5.
Die Schnittstellen nach Aussen sind RESTful-Schnittstellen und unterstützen SNMP, Evaluierungstools und Netzwerkmanagement-Plug-ins von Drittanbietern.
Die Administration ist rollenbasiert und mandantenfähig.
Benutzer können sich über externe Verzeichnisdienste wie LDAP oder AD am Speichersystem anmelden.
Das Speichersystem unterstützt Multi-Faktor-Authentifizierung.
Ebenfalls ist eine vollwertige Kommandozeile verfügbar.
Bei 2, 3 und 4 Rechenzentren, kommen meist DWDM‘s zum Einsatz um diese über dark-Fiber miteinander effizient zu verbinden.
DWDMs sind in der Lage eine Leitungsunterbrechung sehr frühzeitig und sehr sicher zu erkennen. Daher haben wir die SOCC entwickelt und lassen die Umschaltung der Datenreplikation direkt von den DWDMs aus triggern.
Das passiert out-of-band und
reduziert die Umschaltezeiten von typisch 2 Minuten auf nur wenigen Sekunden.
Neue Features kommen alle 6 Monaten in geregelten Updates heraus.
Das betrifft nicht nur SW- sondern auch HW-Updates.
Bei HW-Updates stellen wir sicher, dass diese natürlich Rückwärtskompatibel sind.
OceanStor Systeme können nicht nur klassisch über FC oder Ethernet angebunden werden, sondern auch über RoCE. Damit ist extreme NVME-oF Performance möglich.
Für die RoCE SANs der Zukunft haben wir komplette Switch-Infrastruktur im Portfolio.
Wenn ihnen also der FC mit 32 oder 64G zu langsam ist und sie NVMe-oF mit RDMA mit 100G und mehr fahren möchten, so haben wir hiermit die passende Lössung von kleinen Switches bis voll redundanten Direktoren.
Carrier-Grade Fertigung ist typischerweise aus der Telco-Branche bekannt.
Ziemlich einzigartig fertigen wir auch unsere Enterprise Systeme nach Carrier Grade Standards.
Damit reduzieren wir deutlich HW-Ausfälle und DOA’s.
Enterprise 24x7 Support mit 4H Reaktion ist flächenddeckend auch in Österreich vorhanden.
Wir haben mit Wien, Innsbruch, Esch und Graz 4 Spare-Part Locations in Österreich.
Die Mission Critical Support und Network Operations Centers befinden sich in Rumänien.
Damit wird sichergestellt, dass keine Support-Daten den EU-Raum verlassen.
Hotline-Support in den lokalen Sprachen ist ebenfalls verfügbar.
Die Kunden sind begeistert.
Und wir können liefern, typischerweise innerhalb von 2-4 Wochen.
Für den Landweg haben wir Hubs
in Amsterdam und
Piräus, Griechenland
und für Air Lieferungen
ein Hub in Ungarn
Fabriken haben wir innerhalb der EU in Holland und zwei in Ungarn.
Eine weitere wird in Frankreich gerade gebaut, hauptsächlich für die neuen Smartphones.
Damit sind wir bestens aufgestellt.
Selbst während der Pandemie haben wir uneingeschränkt liefern können.
Last but not least darf ich sie auf den nächsten Flasgship Event nach Berlin einladen.
Das ist der IDI Forum, der am 7 Mai stattfindet.
Es würde mich sehr freuen, wenn ich ihre Interesse geweckt habe und es würde mich noch mehr freuen, wenn wir auch Sie bei der Digitalisierung in die Zukunft begleiten können!