Software Defined Data Center: The Intersection of Networking and Storage

Post on 18-Nov-2014

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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. Category:Applications & Databases, Storage Automation & Management, Virtualization & Cloud Computing

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Software Defined Data Center: The Intersection of Networking and Storage

Dave Cohen

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Roadmap Information Disclaimer EMC makes no representation and undertakes no obligations with

regard to product planning information, anticipated product characteristics, performance specifications, or anticipated release dates (collectively, “Roadmap Information”).

Roadmap Information is provided by EMC as an accommodation to the recipient solely for purposes of discussion and without intending to be bound thereby.

Roadmap information is EMC Restricted Confidential and is provided under the terms, conditions and restrictions defined in the EMC Non-Disclosure Agreement in place with your organization.

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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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Not all Data Centers are the Same

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Infrastructure is a Differentiator when Delivered as a Service

1. Business Agility • 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” • 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*” • Ebay • Google Compute Engine (GCE) • Microsoft Windows (Azure) • PayPal • Rackspace Hosting

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Infrastructure as a Service (IaaS)

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Cloud Reference Platform (CRP)

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Software Defined Data Center (SDDC)

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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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Instance Creation of a Network in an SDDC

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Network Function Virtualization - Architecture

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Network Controller

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NFV – Traffic Flow

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NFV – Application Traffic (Mechanics)

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Instance Creation of a Volume in SDDC

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Storage Function Virtualization - Architecture

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Storage Controller

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SFV – Storage Traffic Flow

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SFV – Storage Traffic (Mechanics)

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SDDC and Business Agility: Objective 2

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Revisiting the SDDC Model

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An Example of Networking in an SDDC OpenStack’s Quantum Network

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An Example of Networking in an SDDC OpenStack’s Quantum Network

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Network Connectivity Pooling Horizontally Scaling Physical Bandwidth Capacity

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An Example of Block Storage in an SDDC OpenStack’s Cinder Storage

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Storage Capacity Pooling Horizontally Scaling Physical Storage Capacity

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SDDC – Looking Forward: Objective 3

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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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Converged, Multitenant Networking Its about Congestion Management