SlideShare una empresa de Scribd logo
1 de 25
Descargar para leer sin conexión
On Deep Slicing and Loops in a Loop
Multi-Tenancy and Smart Closed-Loop Control Gone Wild
Prof. Dr. Christian Esteve Rothenberg (University of Campinas), Brazil
chesteve@dca.fee.unicamp.br
https://intrig.dca.fee.unicamp.br/christian
First ITU Workshop on Network 2030,New York, United States, 2 October 2018
https://www.itu.int/en/ITU-T/Workshops-and-Seminars/201810/Pages/Programme.aspx
Slicing Journey: from 5G towads 2030
2
2030
Source. Adapted from slide courtesy by Luis M. Contreras, Telefonica
From siloed slices to
generalized network
cloud slicing
Deep, massive resource
sharing & multi-tenancy
New Tenant-Provider
relationships and
power of choices
Executive Summary
But, wait…., what is a Slice?
3
History of Network Slicing
● Early references: Programmable Networks research & Federated Testbed
research (1995 -2012)
● GENI Slice (2008): “A GENI slice is the unit of isolation for experiments. A
container for resources used in an experiment; A unit of access control
● ITU-T Slicing (2011) as defined in [ITU-T Y.3011], [ITUTY.3012] Slicing
allows logically isolated network partitions (LINP) with a slice being
considered as a unit of programmable resources such as network,
computation and storage
● Many more...
○ See: Alex Galis, Netsoft 2018 Tutorial:
"Network Slicing Landscape: A holistic architectural approach"
http://www.maps.upc.edu/public/presentations/netsoft18_slicingtutorial_v1.0.pdf
[Not today
towards 2030]
ITU-T
LINP
Main relevant standardization related activities to Slicing
● NGMN Slices - consist of 3 layers: 1) Service Instance Layer, 2) Network Slice Instance Layer, and
3) Resource layer (2016).
● 3GPP - SA2 23.799 Study Item “Network Slicing’ (2016); SA5 TR 28.801Study Item “Network Slicing
(2017)
● ITU-T IMT2020 - Recommendations: 5G Architecture, Management of 5G, Network Softwarisation
and Slicing - (2016 – 2017)
● ONF - Recommendation TR-526 “Applying SDN architecture to Network Slicing” (2016)
● BBF - Requirements / architecture of transport network slicing SD-406: E2E Network Slicing (2017)
● ETSI - NFV priorities for 5G (white paper) (2017). ZSM ISG automation technology for network slice
management (2018). MEC support for network slicing (2018)
● IETF - No specific WG (despite attempts in 2017-2018).
draft-galis-netslices-revised-problemstatement-03, draft-geng-netslices-architecture-02,
draft-geng-coms-architecture-01, draft-netslices-usecases-01, draft-qiang-coms-use-cases-00,
draft-qiang-coms-netslicing-information-model-02, draft-galis-anima-autonomic-slice-networking-04,
draft-defoy-coms-subnetinterconnection-03, draft-homma-coms-slicegateway-01
Slicing in Scope
7
Network Slice – A Network Slice is a jointly managed group of subsets of resources, network
functions / network virtual functions at the data, control, management/orchestration, and
service planes at any given time.
Cross-domain management of network slices in network infrastructure and service functions
Source: The NECOS project, Novel Enablers for Cloud Slicing. http://www.h2020-necos.eu/
SDN & Virtualization vs Slicing
Source: The NECOS project, Novel Enablers for Cloud Slicing. http://www.h2020-necos.eu/
Net App
Net App
NFs
Net App
Net App
L7 Apps
Network
Resources
NIM
Slicing
Application Services
Vertical
Use
Case i
Control & Management plane
Infrastructure
Business (Application & Service) plane
Slicing
Compute
Resources
VIM
Slicing
MonitoringMonitoringMonitoring
Mode 0: VIM-independent
[Infra Slice aaS]
[Bare-metal Slice]
Mode 1: VIM-dependent
[Platform Slice aaS]
(R) Orchestration
Mode 3: Service-based
[Service Slice aaS]
Network Service
Orchestration
Mode 2: MANO-based
[NFV aaS]
Slicing
S
Vertical
S
Service
iS
Different Slicing Models & Approaches
Types of slices and control responsibilities
……
PROVIDER TENANTS
Internal
Slices
External /
Provider- managed
Slices
External /
Tenant- managed
Slices
Infrastructure
Source: A Network Service Provider Perspective on Network Slicing. Luis M. Contreras and Diego R. López. IEEE Softwarization, January 2018
Source: Adapted from slide courtesy by Luis M. Contreras, Telefonica
Multi-Domain Slicing Scenario
Why slice-ready federation is needed?
• Vertical customers can request services that lay outside the footprint of their
primary provider
• Interaction with other providers are needed but …
– How we can charge and bill for that service?
– How we can ensure SLAs among providers?
– How we can know about the capabilities of other providers for a
comprehensive e2e service provision?
• The current interconnection models is not aware of peer’s network resources (i.e.,
load conditions, etc)
• All these environments are static, requiring long interactions for setting up any
inter-provider connection
• Automation for both the interconnection sessions and the service deployment on
top of that is needed to reach the goal of flexibility and dynamicity
12Source: Luis M. Contreras, Telefonica
I
E
T
F
M
E
F
3
G
P
P
E
T
S
I
O
N
F
Deep
Slicing
Towards Deep Slices: Observations
B
B
F
Business challenges
Technological challenges
From infrastructure sharing to any-layer
resource sharing (from PHY to APP)
Deep
End-to-End, Multi-Domain
Tenant Choice & Control
Isolation and Dimensioning / Scaling
Fragmented Standardization
Deep Slicing: Challenges up front
Standardization gap goes hand by hand with a series of key challenges from
provider’s perspective on (i) scalability, (ii) arbitration, (iii) slice planning and
dimensioning, and (iv) multi-domain (cf. [FG-NET-Contribution]). Both business and
technical implications can be deemed necessary for such multi-operator slice
provisioning context.
From the business side, some key implications include: (i) coordination models, (ii)
inter-provider SLAs, (iii) pricing schemes, (iv) service specification, and (v) customer
facing advertisement.
From a technical perspective we highlight (i) slice decomposition, (ii) discovery of
domains, (iii) common abstraction models, (iv) standard interfaces/protocols, APIs.
Source & further reading: Doc.6 ITU-T FG 2030 contribution: Network 2030 Challenges and Opportunities in Network Slicing
https://extranet.itu.int/sites/itu-t/focusgroups/net-2030/_layouts/15/WopiFrame.aspx?sourcedoc=%7bC4E9266E-1058-4035-AA25-451ABC
B5C07B%7d&file=NET2030-I-006.docx&action=default
Deep Slicing: Ambitious Challenges
Source: Inspired by the author (C. Rothenberg) P3
trade-offs: Programmability, Performance, Portability.
https://www.slideshare.net/chesteve/ieee-hpsr-2017-keynote-softwarized-dataplanes-and-the-p3-tradeoffs-programmability-performance-portabiilty
Source: Adapted from slide courtesy by Luis M. Contreras, Telefonica
Unfolding Slices through Massive Multi-Tenancy
Disaggregated Metrics/Prices: SLA Hazards
Smart Peering for Multi-Domain NS-as-a-S
Control Loops (in a loop)
Acknowledgments
Work by Christian Rothenberg was supported by the Innovation Center, Ericsson
Telecomunicações S.A., Brazil under grant agreement UNI.64.
Ack. Mateus Santos and Pedro Gomes for input insights
This work includes contributions funded was partially funded by the EU-Brazil
NECOS project under grant agreement no. 777067.
Luis M. Contreras and Alex Galis, co-authors of ITU-T FG 2030 input Doc.6:
Network 2030 Challenges and Opportunities in Network Slicing.
Raphael Rosa (PhD candidate at UNICAMP), for his contributions to the vision
around Unfolding Slices, Control Loops (in a Loop), Disaggregated Metrics/Prices,
and Smart Peering
BACKUP
Different SDN Models to Program / Refactor the Stack
What do we mean by Network Slices?
Network Slice – A Network Slice is a managed group of subsets of resources, network
functions / network virtual functions at the data, control, management/orchestration,
and service planes at any given time.
The behaviour of the network slice is realized via network slice instances
(i.e. activated network slices, dynamically and non-disruptively re-provisioned).
A network slice is programmable and has the ability to expose its capabilities.
→ A network slice supports at least one type of service.
→ A network slice may consist of cross-domain components from separate domains in the same or
different administrations, or components applicable to the access network, transport network, core
network, and edge networks.
→ A resource-only partition is one of the components of a Network Slice, however on its own does
not fully represent a Network Slice.
→ Underlays / overlays supporting all services equally (‘best effort” support) are not fully
representing a Network Slice. 24
Consortium
25

Más contenido relacionado

La actualidad más candente

Dynamic module deployment in a fog computing platform
Dynamic module deployment in a fog computing platformDynamic module deployment in a fog computing platform
Dynamic module deployment in a fog computing platform
霈萱 蔡
 
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
Nexgen Technology
 
Cytoscape ci chapter 1
Cytoscape ci chapter 1Cytoscape ci chapter 1
Cytoscape ci chapter 1
bdemchak
 
The Story of the Semantic Grid
The Story of the Semantic GridThe Story of the Semantic Grid
The Story of the Semantic Grid
butest
 

La actualidad más candente (20)

Grid computing
Grid computingGrid computing
Grid computing
 
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
 
Towards the Intelligent Internet of Everything
Towards the Intelligent Internet of EverythingTowards the Intelligent Internet of Everything
Towards the Intelligent Internet of Everything
 
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
Scalability and Resilience of Multi-Tenant Distributed Clouds in the Big Serv...
 
SENDIM for Incremental Development of Cloud Networks: Simulation, Emulation \...
SENDIM for Incremental Development of Cloud Networks: Simulation, Emulation \...SENDIM for Incremental Development of Cloud Networks: Simulation, Emulation \...
SENDIM for Incremental Development of Cloud Networks: Simulation, Emulation \...
 
Dynamic module deployment in a fog computing platform
Dynamic module deployment in a fog computing platformDynamic module deployment in a fog computing platform
Dynamic module deployment in a fog computing platform
 
Cassowary: Middleware Platform for Context-Aware Smart Buildings with Softwar...
Cassowary: Middleware Platform for Context-Aware Smart Buildings with Softwar...Cassowary: Middleware Platform for Context-Aware Smart Buildings with Softwar...
Cassowary: Middleware Platform for Context-Aware Smart Buildings with Softwar...
 
TACO-DTN
TACO-DTNTACO-DTN
TACO-DTN
 
Sensors - The Sparkplug in the Engine of the Internet of Things
Sensors - The Sparkplug in the Engine of the Internet of ThingsSensors - The Sparkplug in the Engine of the Internet of Things
Sensors - The Sparkplug in the Engine of the Internet of Things
 
HNSciCloud: Project Results and lessons learned
HNSciCloud: Project Results and lessons learnedHNSciCloud: Project Results and lessons learned
HNSciCloud: Project Results and lessons learned
 
Grid computing
Grid computingGrid computing
Grid computing
 
Software-Defined Inter-Cloud Composition of Big Services
Software-Defined Inter-Cloud Composition of Big ServicesSoftware-Defined Inter-Cloud Composition of Big Services
Software-Defined Inter-Cloud Composition of Big Services
 
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
An Efficient Cluster-Tree Based Data Collection Scheme for Large Mobile Wirel...
 
RECAP Project Overview
RECAP Project OverviewRECAP Project Overview
RECAP Project Overview
 
Software-Defined Approach for QoS and Data Quality in Multi-Tenant Clouds
Software-Defined Approach for QoS and Data Quality in Multi-Tenant CloudsSoftware-Defined Approach for QoS and Data Quality in Multi-Tenant Clouds
Software-Defined Approach for QoS and Data Quality in Multi-Tenant Clouds
 
PhD Projects in Fog Computing Research Ideas
PhD Projects in Fog Computing Research IdeasPhD Projects in Fog Computing Research Ideas
PhD Projects in Fog Computing Research Ideas
 
Cloud computing ppts
Cloud computing pptsCloud computing ppts
Cloud computing ppts
 
EOSC in practice - Silvana Muscella (chair EOSC HLEG)
EOSC in practice - Silvana Muscella (chair EOSC HLEG)EOSC in practice - Silvana Muscella (chair EOSC HLEG)
EOSC in practice - Silvana Muscella (chair EOSC HLEG)
 
Cytoscape ci chapter 1
Cytoscape ci chapter 1Cytoscape ci chapter 1
Cytoscape ci chapter 1
 
The Story of the Semantic Grid
The Story of the Semantic GridThe Story of the Semantic Grid
The Story of the Semantic Grid
 

Similar a Deep Slicing and Loops in a Loop: Multi-Tenancy and Smart Closed-Loop Control Gone Wild

The Abstracted Network for Industrial Internet
The Abstracted Network for Industrial InternetThe Abstracted Network for Industrial Internet
The Abstracted Network for Industrial Internet
MeshDynamics
 
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
IJNSA Journal
 
Machine Learning 5G Federated Learning.pdf
Machine Learning 5G Federated Learning.pdfMachine Learning 5G Federated Learning.pdf
Machine Learning 5G Federated Learning.pdf
adeyimikaipaye
 
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
ijccsa
 
An overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networksAn overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networks
Khaleda Ali
 
A Flexible Network Architecture for 5G Systems
A Flexible Network Architecture for 5G SystemsA Flexible Network Architecture for 5G Systems
A Flexible Network Architecture for 5G Systems
Eiko Seidel
 
Cyber Resiliency 20120420
Cyber Resiliency 20120420Cyber Resiliency 20120420
Cyber Resiliency 20120420
Steve Goeringer
 

Similar a Deep Slicing and Loops in a Loop: Multi-Tenancy and Smart Closed-Loop Control Gone Wild (20)

Netsoft 2020 S4SI Workshop Panel
Netsoft 2020 S4SI Workshop PanelNetsoft 2020 S4SI Workshop Panel
Netsoft 2020 S4SI Workshop Panel
 
WRNP18 - Software Defined Infrastructures: Multi-Domain Orchestration
WRNP18 - Software Defined Infrastructures: Multi-Domain OrchestrationWRNP18 - Software Defined Infrastructures: Multi-Domain Orchestration
WRNP18 - Software Defined Infrastructures: Multi-Domain Orchestration
 
Domenico di mola_2023 i_iot_whole_190613
Domenico di mola_2023 i_iot_whole_190613Domenico di mola_2023 i_iot_whole_190613
Domenico di mola_2023 i_iot_whole_190613
 
A survey of models for computer networks management
A survey of models for computer networks managementA survey of models for computer networks management
A survey of models for computer networks management
 
The Abstracted Network for Industrial Internet
The Abstracted Network for Industrial InternetThe Abstracted Network for Industrial Internet
The Abstracted Network for Industrial Internet
 
A Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing EnvironmentA Study of Protocols for Grid Computing Environment
A Study of Protocols for Grid Computing Environment
 
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
AN EFFICIENT SECURE CRYPTOGRAPHY SCHEME FOR NEW ML-BASED RPL ROUTING PROTOCOL...
 
Machine Learning 5G Federated Learning.pdf
Machine Learning 5G Federated Learning.pdfMachine Learning 5G Federated Learning.pdf
Machine Learning 5G Federated Learning.pdf
 
9-2020.pdf
9-2020.pdf9-2020.pdf
9-2020.pdf
 
Computation grid as a connected world
Computation grid as a connected worldComputation grid as a connected world
Computation grid as a connected world
 
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
 
An overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networksAn overview on application of machine learning techniques in optical networks
An overview on application of machine learning techniques in optical networks
 
A Flexible Network Architecture for 5G Systems
A Flexible Network Architecture for 5G SystemsA Flexible Network Architecture for 5G Systems
A Flexible Network Architecture for 5G Systems
 
Grid computing
Grid computingGrid computing
Grid computing
 
Cyber Resiliency 20120420
Cyber Resiliency 20120420Cyber Resiliency 20120420
Cyber Resiliency 20120420
 
40 41
40 4140 41
40 41
 
Big Data and Next Generation Network Challenges - Phdassistance
Big Data and Next Generation Network Challenges - PhdassistanceBig Data and Next Generation Network Challenges - Phdassistance
Big Data and Next Generation Network Challenges - Phdassistance
 
Data Decentralisation: Efficiency, Privacy and Fair Monetisation
Data Decentralisation: Efficiency, Privacy and Fair MonetisationData Decentralisation: Efficiency, Privacy and Fair Monetisation
Data Decentralisation: Efficiency, Privacy and Fair Monetisation
 
NECOS - Concertation Meeting EUBrasilCloudFORUM
NECOS -  Concertation Meeting EUBrasilCloudFORUMNECOS -  Concertation Meeting EUBrasilCloudFORUM
NECOS - Concertation Meeting EUBrasilCloudFORUM
 
Grid computing
Grid computingGrid computing
Grid computing
 

Más de Christian Esteve Rothenberg

Lte community networks in brazil sustainable modeling, deployment and mainte...
Lte community networks in brazil  sustainable modeling, deployment and mainte...Lte community networks in brazil  sustainable modeling, deployment and mainte...
Lte community networks in brazil sustainable modeling, deployment and mainte...
Christian Esteve Rothenberg
 

Más de Christian Esteve Rothenberg (20)

Trends and Hot Topics in Networking 2023 - IA377 Seminar FEEC-UNICAMP
Trends and Hot Topics in Networking 2023 - IA377 Seminar FEEC-UNICAMPTrends and Hot Topics in Networking 2023 - IA377 Seminar FEEC-UNICAMP
Trends and Hot Topics in Networking 2023 - IA377 Seminar FEEC-UNICAMP
 
IA377 Seminar FEEC-UNICAMP Intro classpdf
IA377 Seminar FEEC-UNICAMP Intro classpdfIA377 Seminar FEEC-UNICAMP Intro classpdf
IA377 Seminar FEEC-UNICAMP Intro classpdf
 
IA377 Seminar FEEC-UNICAMP Literature Review
IA377 Seminar FEEC-UNICAMP Literature ReviewIA377 Seminar FEEC-UNICAMP Literature Review
IA377 Seminar FEEC-UNICAMP Literature Review
 
Lte community networks in brazil sustainable modeling, deployment and mainte...
Lte community networks in brazil  sustainable modeling, deployment and mainte...Lte community networks in brazil  sustainable modeling, deployment and mainte...
Lte community networks in brazil sustainable modeling, deployment and mainte...
 
NECOS Industrial Workshop Demonstrations by Prof. Fabio Verdi (UFSCAR)
NECOS Industrial Workshop Demonstrations by Prof. Fabio Verdi (UFSCAR)NECOS Industrial Workshop Demonstrations by Prof. Fabio Verdi (UFSCAR)
NECOS Industrial Workshop Demonstrations by Prof. Fabio Verdi (UFSCAR)
 
NECOS Industrial Workshop Technical highlights by Prof. Alex Galis (Universit...
NECOS Industrial Workshop Technical highlights by Prof. Alex Galis (Universit...NECOS Industrial Workshop Technical highlights by Prof. Alex Galis (Universit...
NECOS Industrial Workshop Technical highlights by Prof. Alex Galis (Universit...
 
NECOS Industrial Workshop lightning talk by Prof. Nelson Fonseca (UNICAMP)
NECOS Industrial Workshop lightning talk by Prof. Nelson Fonseca (UNICAMP) NECOS Industrial Workshop lightning talk by Prof. Nelson Fonseca (UNICAMP)
NECOS Industrial Workshop lightning talk by Prof. Nelson Fonseca (UNICAMP)
 
NECOS Industrial Workshop lightning talk by Jorge Seki (CPqD / 5G-RANGE)
NECOS Industrial Workshop lightning talk by Jorge Seki (CPqD / 5G-RANGE) NECOS Industrial Workshop lightning talk by Jorge Seki (CPqD / 5G-RANGE)
NECOS Industrial Workshop lightning talk by Jorge Seki (CPqD / 5G-RANGE)
 
NECOS Industrial Workshop lightning talk by Gustavo Correa (CPqD)
NECOS Industrial Workshop lightning talk by Gustavo Correa (CPqD) NECOS Industrial Workshop lightning talk by Gustavo Correa (CPqD)
NECOS Industrial Workshop lightning talk by Gustavo Correa (CPqD)
 
NECOS Industrial Workshop lightning talk by Mateus Santos (Ericsson Research)
NECOS Industrial Workshop lightning talk by Mateus Santos (Ericsson Research) NECOS Industrial Workshop lightning talk by Mateus Santos (Ericsson Research)
NECOS Industrial Workshop lightning talk by Mateus Santos (Ericsson Research)
 
NECOS Industrial Workshop lightning talk by Alessandro Nascimento (Nokia)
NECOS Industrial Workshop lightning talk by Alessandro Nascimento (Nokia)  NECOS Industrial Workshop lightning talk by Alessandro Nascimento (Nokia)
NECOS Industrial Workshop lightning talk by Alessandro Nascimento (Nokia)
 
NECOS Industrial Workshop lightning talk by Marcos Felipe Schwarz (RNP)
NECOS Industrial Workshop lightning talk by Marcos Felipe Schwarz (RNP)  NECOS Industrial Workshop lightning talk by Marcos Felipe Schwarz (RNP)
NECOS Industrial Workshop lightning talk by Marcos Felipe Schwarz (RNP)
 
NECOS Industrial Workshop lightning talk by Luis Contreras (Telefonica)
NECOS Industrial Workshop lightning talk by Luis Contreras (Telefonica)  NECOS Industrial Workshop lightning talk by Luis Contreras (Telefonica)
NECOS Industrial Workshop lightning talk by Luis Contreras (Telefonica)
 
NECOS Industrial Workshop Introduction by Prof. Christian Rothenberg (UNICAMP)
NECOS Industrial Workshop Introduction by Prof. Christian Rothenberg (UNICAMP)NECOS Industrial Workshop Introduction by Prof. Christian Rothenberg (UNICAMP)
NECOS Industrial Workshop Introduction by Prof. Christian Rothenberg (UNICAMP)
 
Towards Deep Programmable Slicing at Netsoft'19 Distinguished Expert Panel
Towards Deep Programmable Slicing at Netsoft'19 Distinguished Expert PanelTowards Deep Programmable Slicing at Netsoft'19 Distinguished Expert Panel
Towards Deep Programmable Slicing at Netsoft'19 Distinguished Expert Panel
 
Netsoft19 Keynote: Fluid Network Planes
Netsoft19 Keynote: Fluid Network PlanesNetsoft19 Keynote: Fluid Network Planes
Netsoft19 Keynote: Fluid Network Planes
 
IEEE HPSR 2017 Keynote: Softwarized Dataplanes and the P^3 trade-offs: Progra...
IEEE HPSR 2017 Keynote: Softwarized Dataplanes and the P^3 trade-offs: Progra...IEEE HPSR 2017 Keynote: Softwarized Dataplanes and the P^3 trade-offs: Progra...
IEEE HPSR 2017 Keynote: Softwarized Dataplanes and the P^3 trade-offs: Progra...
 
NECOS - EU-Brazil H2020 Project - Novel Enablers for Cloud Slicing
NECOS - EU-Brazil H2020 Project - Novel Enablers for Cloud SlicingNECOS - EU-Brazil H2020 Project - Novel Enablers for Cloud Slicing
NECOS - EU-Brazil H2020 Project - Novel Enablers for Cloud Slicing
 
SDN :: Software Defined Networking –2017 Executive Overview
SDN :: Software Defined Networking –2017 Executive OverviewSDN :: Software Defined Networking –2017 Executive Overview
SDN :: Software Defined Networking –2017 Executive Overview
 
Sbrc 2014 Painel SDN
Sbrc 2014 Painel SDNSbrc 2014 Painel SDN
Sbrc 2014 Painel SDN
 

Último

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 

Último (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 

Deep Slicing and Loops in a Loop: Multi-Tenancy and Smart Closed-Loop Control Gone Wild

  • 1. On Deep Slicing and Loops in a Loop Multi-Tenancy and Smart Closed-Loop Control Gone Wild Prof. Dr. Christian Esteve Rothenberg (University of Campinas), Brazil chesteve@dca.fee.unicamp.br https://intrig.dca.fee.unicamp.br/christian First ITU Workshop on Network 2030,New York, United States, 2 October 2018 https://www.itu.int/en/ITU-T/Workshops-and-Seminars/201810/Pages/Programme.aspx
  • 2. Slicing Journey: from 5G towads 2030 2 2030 Source. Adapted from slide courtesy by Luis M. Contreras, Telefonica From siloed slices to generalized network cloud slicing Deep, massive resource sharing & multi-tenancy New Tenant-Provider relationships and power of choices Executive Summary
  • 3. But, wait…., what is a Slice? 3
  • 4. History of Network Slicing ● Early references: Programmable Networks research & Federated Testbed research (1995 -2012) ● GENI Slice (2008): “A GENI slice is the unit of isolation for experiments. A container for resources used in an experiment; A unit of access control ● ITU-T Slicing (2011) as defined in [ITU-T Y.3011], [ITUTY.3012] Slicing allows logically isolated network partitions (LINP) with a slice being considered as a unit of programmable resources such as network, computation and storage ● Many more... ○ See: Alex Galis, Netsoft 2018 Tutorial: "Network Slicing Landscape: A holistic architectural approach" http://www.maps.upc.edu/public/presentations/netsoft18_slicingtutorial_v1.0.pdf [Not today towards 2030]
  • 6. Main relevant standardization related activities to Slicing ● NGMN Slices - consist of 3 layers: 1) Service Instance Layer, 2) Network Slice Instance Layer, and 3) Resource layer (2016). ● 3GPP - SA2 23.799 Study Item “Network Slicing’ (2016); SA5 TR 28.801Study Item “Network Slicing (2017) ● ITU-T IMT2020 - Recommendations: 5G Architecture, Management of 5G, Network Softwarisation and Slicing - (2016 – 2017) ● ONF - Recommendation TR-526 “Applying SDN architecture to Network Slicing” (2016) ● BBF - Requirements / architecture of transport network slicing SD-406: E2E Network Slicing (2017) ● ETSI - NFV priorities for 5G (white paper) (2017). ZSM ISG automation technology for network slice management (2018). MEC support for network slicing (2018) ● IETF - No specific WG (despite attempts in 2017-2018). draft-galis-netslices-revised-problemstatement-03, draft-geng-netslices-architecture-02, draft-geng-coms-architecture-01, draft-netslices-usecases-01, draft-qiang-coms-use-cases-00, draft-qiang-coms-netslicing-information-model-02, draft-galis-anima-autonomic-slice-networking-04, draft-defoy-coms-subnetinterconnection-03, draft-homma-coms-slicegateway-01
  • 7. Slicing in Scope 7 Network Slice – A Network Slice is a jointly managed group of subsets of resources, network functions / network virtual functions at the data, control, management/orchestration, and service planes at any given time. Cross-domain management of network slices in network infrastructure and service functions
  • 8. Source: The NECOS project, Novel Enablers for Cloud Slicing. http://www.h2020-necos.eu/ SDN & Virtualization vs Slicing
  • 9. Source: The NECOS project, Novel Enablers for Cloud Slicing. http://www.h2020-necos.eu/ Net App Net App NFs Net App Net App L7 Apps Network Resources NIM Slicing Application Services Vertical Use Case i Control & Management plane Infrastructure Business (Application & Service) plane Slicing Compute Resources VIM Slicing MonitoringMonitoringMonitoring Mode 0: VIM-independent [Infra Slice aaS] [Bare-metal Slice] Mode 1: VIM-dependent [Platform Slice aaS] (R) Orchestration Mode 3: Service-based [Service Slice aaS] Network Service Orchestration Mode 2: MANO-based [NFV aaS] Slicing S Vertical S Service iS Different Slicing Models & Approaches
  • 10. Types of slices and control responsibilities …… PROVIDER TENANTS Internal Slices External / Provider- managed Slices External / Tenant- managed Slices Infrastructure Source: A Network Service Provider Perspective on Network Slicing. Luis M. Contreras and Diego R. López. IEEE Softwarization, January 2018
  • 11. Source: Adapted from slide courtesy by Luis M. Contreras, Telefonica Multi-Domain Slicing Scenario
  • 12. Why slice-ready federation is needed? • Vertical customers can request services that lay outside the footprint of their primary provider • Interaction with other providers are needed but … – How we can charge and bill for that service? – How we can ensure SLAs among providers? – How we can know about the capabilities of other providers for a comprehensive e2e service provision? • The current interconnection models is not aware of peer’s network resources (i.e., load conditions, etc) • All these environments are static, requiring long interactions for setting up any inter-provider connection • Automation for both the interconnection sessions and the service deployment on top of that is needed to reach the goal of flexibility and dynamicity 12Source: Luis M. Contreras, Telefonica
  • 13. I E T F M E F 3 G P P E T S I O N F Deep Slicing Towards Deep Slices: Observations B B F Business challenges Technological challenges From infrastructure sharing to any-layer resource sharing (from PHY to APP) Deep End-to-End, Multi-Domain Tenant Choice & Control Isolation and Dimensioning / Scaling Fragmented Standardization
  • 14. Deep Slicing: Challenges up front Standardization gap goes hand by hand with a series of key challenges from provider’s perspective on (i) scalability, (ii) arbitration, (iii) slice planning and dimensioning, and (iv) multi-domain (cf. [FG-NET-Contribution]). Both business and technical implications can be deemed necessary for such multi-operator slice provisioning context. From the business side, some key implications include: (i) coordination models, (ii) inter-provider SLAs, (iii) pricing schemes, (iv) service specification, and (v) customer facing advertisement. From a technical perspective we highlight (i) slice decomposition, (ii) discovery of domains, (iii) common abstraction models, (iv) standard interfaces/protocols, APIs. Source & further reading: Doc.6 ITU-T FG 2030 contribution: Network 2030 Challenges and Opportunities in Network Slicing https://extranet.itu.int/sites/itu-t/focusgroups/net-2030/_layouts/15/WopiFrame.aspx?sourcedoc=%7bC4E9266E-1058-4035-AA25-451ABC B5C07B%7d&file=NET2030-I-006.docx&action=default
  • 15. Deep Slicing: Ambitious Challenges Source: Inspired by the author (C. Rothenberg) P3 trade-offs: Programmability, Performance, Portability. https://www.slideshare.net/chesteve/ieee-hpsr-2017-keynote-softwarized-dataplanes-and-the-p3-tradeoffs-programmability-performance-portabiilty
  • 16. Source: Adapted from slide courtesy by Luis M. Contreras, Telefonica
  • 17. Unfolding Slices through Massive Multi-Tenancy
  • 19. Smart Peering for Multi-Domain NS-as-a-S
  • 20. Control Loops (in a loop)
  • 21. Acknowledgments Work by Christian Rothenberg was supported by the Innovation Center, Ericsson Telecomunicações S.A., Brazil under grant agreement UNI.64. Ack. Mateus Santos and Pedro Gomes for input insights This work includes contributions funded was partially funded by the EU-Brazil NECOS project under grant agreement no. 777067. Luis M. Contreras and Alex Galis, co-authors of ITU-T FG 2030 input Doc.6: Network 2030 Challenges and Opportunities in Network Slicing. Raphael Rosa (PhD candidate at UNICAMP), for his contributions to the vision around Unfolding Slices, Control Loops (in a Loop), Disaggregated Metrics/Prices, and Smart Peering
  • 23. Different SDN Models to Program / Refactor the Stack
  • 24. What do we mean by Network Slices? Network Slice – A Network Slice is a managed group of subsets of resources, network functions / network virtual functions at the data, control, management/orchestration, and service planes at any given time. The behaviour of the network slice is realized via network slice instances (i.e. activated network slices, dynamically and non-disruptively re-provisioned). A network slice is programmable and has the ability to expose its capabilities. → A network slice supports at least one type of service. → A network slice may consist of cross-domain components from separate domains in the same or different administrations, or components applicable to the access network, transport network, core network, and edge networks. → A resource-only partition is one of the components of a Network Slice, however on its own does not fully represent a Network Slice. → Underlays / overlays supporting all services equally (‘best effort” support) are not fully representing a Network Slice. 24