There has been quite a bit of marketing rhetoric around Software Defined Data Center (SDDC) since VMware’s acquisition of Nicira. In this session we explore the components of a SDDC. Our specific focus is on the composition of a SDDC’s resource model: Compute, Networking, and Storage. The emphasis is on the disaggregated I/O for Network and Storage resources. Objective 1: Describe the disaggregated I/O resource model employed to facilitate the use of virtualized Ethernet and Block devices in a Software Defined Data Center. After this session you will be able to: Objective 2: Explain how end-user driven provisioning of virtual Ethernet devices and Block devices serve to decouple resource use from infrastructure management. Objective 3: Describe some of the opportunities and challenges associated with employing disaggregate I/O.

1. Software Defined
Data Center:
The Intersection of Networking and
Storage
Dave Cohen
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2. Roadmap Information Disclaimer
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regard to product planning information, anticipated product
characteristics, performance specifications, or anticipated release
dates (collectively, “Roadmap Information”).
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recipient solely for purposes of discussion and without intending to be
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 Roadmap information is EMC Restricted Confidential and is provided
under the terms, conditions and restrictions defined in the EMC NonDisclosure Agreement in place with your organization.
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3. Overview
 Abstract
•
There has been quite a bit of marketing rhetoric around Software Defined Data Center
(SDDC) since VMware’s acquisition of Nicira. In this session we explore the components of
an SDDC. Our specific focus is on the composition of a SDDC’s resource model: Compute,
Networking, and Storage. The emphasis is on the disaggregated I/O for Network and
Storage resources.
 Objectives
•
Objective 1: Describe the disaggregated I/O resource model employed to facilitate the use of
virtualized Ethernet and Block devices in a Software Defined Data Center.
•
Objective 2: Explain how end-user driven provisioning of virtual Ethernet devices and Block devices
serve to decouple resource use from infrastructure management.
•
Objective 3: Describe some of the opportunities and challenges associated with employing
disaggregate I/O.
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4. Not all Data Centers are the Same
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5. Infrastructure is a Differentiator when
Delivered as a Service
1. Business Agility
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Enable end-users (App-Dev) to deliver greater value to their business partner by providing them
with self-service capabilities.
Improve the quality and speed of delivery of IT services
Enable IT to eliminate waste by running the Infrastructure at high levels of utilization
2. Dispelling the Myth that “Infrastructure is not a Differentiator”
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Is improving Business Agility predicated on wholesale adoption of Cloud and migrating all of
Enterprise IT to Amazon/AWS?
Or will Enterprise Customers Invest in making their own IT Services more competitive with
Amazon/AWS?
3. Examples where Companies are deciding that Amazon/AWS’s model is right
but believe “*Infrastructure is a Differentiator*”
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Ebay
Google Compute Engine (GCE)
Microsoft Windows (Azure)
PayPal
Rackspace Hosting
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6. Infrastructure as a Service (IaaS)
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7. Cloud Reference Platform (CRP)
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8. Software Defined Data Center (SDDC)
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9. SDDC’s Resource Model: Objective 1
In this section we describe the disaggregated I/O resource model
employed to facilitate the use of virtualized Ethernet and Block
devices in a Software Defined Data Center.
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10. Instance Creation of a Network in an SDDC
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11. Network Function Virtualization - Architecture
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12. Network Controller
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13. NFV – Traffic Flow
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14. NFV – Application Traffic (Mechanics)
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15. Instance Creation of a Volume in SDDC
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16. Storage Function Virtualization - Architecture
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17. Storage Controller
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18. SFV – Storage Traffic Flow
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19. SFV – Storage Traffic (Mechanics)
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20. SDDC and Business Agility: Objective 2
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21. Revisiting the SDDC Model
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22. An Example of Networking in an SDDC
OpenStack’s Quantum Network
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23. An Example of Networking in an SDDC
OpenStack’s Quantum Network
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24. Network Connectivity Pooling
Horizontally Scaling Physical Bandwidth Capacity
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25. An Example of Block Storage in an SDDC
OpenStack’s Cinder Storage
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26. Storage Capacity Pooling
Horizontally Scaling Physical Storage Capacity
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27. SDDC – Looking Forward: Objective 3
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28. Differentiated Infrastructure Service Delivery
Areas for Opportunity and Cause for Concern
1. Improving All Facets of Security
2. Increasing the Breadth of Available Instance Types within a
Resource Class
3. Decreasing Resource Delivery Time/Improving Capacity
Management
4. Increasing Average Utilization by Improving Resource
Scheduling
5. Decreasing Frequency of Outages, both Scheduled and
Unscheduled
6. Decreasing the Time to Recover from an Outage
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29. Converged, Multitenant Networking
Its about Congestion Management
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