Enterprise Data Center Networks

Transcription

1 Enterprise Data Center Networks Isabelle Guis Big Switch Networks Vice President of Outbound Marketing ONF Market Education Committee Chair 1

2 This Session Objectives Leave with an understanding of Data Center Market Trends Network Challenges Driven By These Trends Typical Network Design And SDN Implementation Most Frequent Uses Cases Associated Benefits 2

3 Enterprise Data Center Networks Definition Private Cloud: IT resources providing hosted services to a limited number of people behind a firewall (variables: ownership, maintenance etc.) Data Center: Centralized repository for compute and storage resources over a network - Physical or virtual Public Cloud: IT resources provided by a service provider to the general public over the Internet 3

4 Trends In The Data Center Changes in traffic patterns 3 Millions 2 Billion Social Network integra+on Contacts Internet users worldwide Average Number of Connected Devices Browser History Netbook Owners 4 Sta+s+cs Portable Media Player Owners Portable Game Player Owners 5 5 Loca+on ebook Owners 5 Tablet Owners 6 Source: The Nielsen Company October 2010 North/South Traffic 4 East/West Traffic

5 Potential Market Opportunity & Budget Impact By 2014, 80% of traffic will be East/West Fluctuations will be 90 times higher than traffic peaks experienced today In 2010 Data Center Infrastructure $13B Source: Gartner Synergy Research Group 5

6 Trends In The Data Center, Storage, Network Infrastructure: Modernization Agenda NETWORK STORAGE Melting Siloes Workload Virtualization and Mobility Network Topology Independence Compute/ Storage/ Network shared pool of resources Infrastructure Consolidation and Convergence COMPUTE Source: Gartner (February 2012) 6

7 Enabling The Cloud Compute, Storage and Network Are Not Equal Catching Up NETWORK Most Advanced Automation Troubleshooting Control Granularity Vendor Independency Resource Visibility Well on its way COMPUTE STORAGE 7

8 Typical Data Center Network Topology Core Switch Aggrega6on Switch Aggrega6on Switch Access Switch Access Switch Access Switch Access Switch (bare metal) (bare metal) (bare metal) (bare metal) Between 20 to 40 servers per rack Mix of bare metal and virtualized servers Mix of physical and hypervisor-based switches ToR deployment (access, aggregation, core) Multiple data centers connected via L3 Virtual switch Virtual Machine 8

9 SDN Introduction in Data Center Controller Core Switch Aggrega6on Switch Aggrega6on Switch Access Switch Access Switch Access Switch Access Switch Introduction of SDN based on OpenFlow OpenFlow Controller Software connected over IP to virtual and physical switches (bare metal) (bare metal) (bare metal) (bare metal) Virtual switch Virtual Machine 9

10 Logical Architecture Applica6on Applica6on Applica6on Applica6on Application Layer Network Services, Orchestration etc. SDN Controller Control Layer Virtualization Virtual Switch Virtual Switch Physical Switch Data Layer Single pool of network resources Physical Switch 10

11 Use Case #1: Resource Optimization Network Segmentation Implication Data Center Aggregation Layer / Pod Compute 95% Compute 70% Compute Top of Rack Layer 30% Host / Virtual Switch Workload / VLAN Network Segment Network Segment Network Segment Tenant Difficult to move resources dynamically The Network Gets In The Way 11

12 Use Case #1: Resource Optimization Traditional Solution SDN Solution Compute Compute 70% Compute Workload #1 #2 #3 80% Compute 80% 30% Network Segment Network Segment Network Segment z z Network Segment #1 #2 #3 Network Static Design Takes Days/ Weeks and Leads to Overprovisioning of Expensive Equipment Time Consuming Upfront Spending 12 Reuse Existing With Dynamic Software Optimization Increased Scalability and Efficiency Automation for Easier Integration with Compute

13 Use Case #2: Complete Network Visibility Access Switch (bare metal) Aggrega6on Switch Core Switch Policy Consistency across hosts connected to Virtual Switches Physical Switches (Access, Aggregation) Virtual switch Virtual Machine Simplify Troubleshooting Reduce Downtime Allow For Better Traffic Engineering Ease Policy Enforcement 13

14 Q&A THANK YOU 14