presentationGAATT
- 2. John Donovan, AT&T How SDN enabled innovations will impact AT&T’s plans to transform it’s infrastructure
- 3. Openness Transformation & Innovation Flexibility + Simplicity + Speed New Resources Model in vM Redefining end point Time required to provision services
- 4. SDN + NFV Telecom Network Running on vM Simpler Scalable
- 5. AT&T www.at&tmorationsp ace.com Build capabilities in AT&T Cloud for real time services Mobile data traffic has increased 50000% over the last 7 years Enhance business efficiency Less CAPEX & OPEX
- 6. Transformation @ AT&T Similar to Cloud Computing (Network Design) Common Infrastructure, Consumption model Open Network principle >100 vendors collaboration Domain 2.0 DODO Budget for new architecture Ericson, Affirm Network - ecp, Metal Switch Core, Tel- ef – control software: open & flexible & work with existing devices Open to new Ideas and maintain competitiveness Doing with the WAN as the world has done to Data Centre cloud centric workloads Elasticity to Scale Provision services in WAN network Open Process Agile development
- 7. Domain 2.0 DODO 2014 Domain 1.5 S Control on existing platforms – extend utilizing New Platform in 2015 - NO overlay network – distributed cloud 2015 4600 Data Centre S microseconds of compromise that exist between middle and applications will be overcome by the milliseconds they avoid by highly distributed, very fast fiber network OSS S APIs – Do Policy & Provisioning Software S Orchestrate in highly distributed network
- 8. Why running their services on your network? S Platform Extra S move security into cloud S system getter smarter as components get smarter through communication S Privacy & Liability Guidelines S Clarify boundaries – syntactic data build capability without touching the raw S 3 new technologies – control plane role, library, routing system for data object – abstract syntactic data– no compromising customers
- 9. Radical reshaping entire white area S Early Road Map Items S Excess part of network and core backbone = 2 highest requirement and list amount of generated incremental benefit S Data Centre – Latency tolerance (policy & authothenticy) = mobile core S converging wireless and wire line in universal services IMS platform S Network Access S Wireless – more like R&C pooling – really virtualization S Complex (3G, 4G, wifi, AWS, WCS…) load very fast S Optimized backbone switches and routing
- 10. Amin Vahdat, Google Google’s experience with Software Defined Network Function Virtualization at Scale • DE and Tech Lead for Networking, Google • SAIC Professor of Computer Science and Engineering, UCSD • ACM Fellow, Sloan Fellow, Duke University...
- 11. Networking @ Google Network Corporation Team CLOUD S Infinite computer storage on demand S Fundamentally easier operational model (not there yet – true promise of the cloud – scale business) S Much higher of time – 3or4 nines of availability for services (multiplexing – leverage) S State-of-the-art infrastructure services – DoS, Load Balancing, Storage (can’t buy string out) – Offer these services = key to success S Programming models unavailable elsewhere – low lactency programming, massive IOPS
- 12. Andromeda Network Virtualization Google Cloud Platform CLOUD S SDN control of entire hardware/software – QoS, Latency, fault tolerance (Holistic Approach) S Virtualize SDN with NFV (Non-standard Network functionality per packet, can’t predict all the services, API for NFV = big opportunity) S Orchestrate & Manage: Network provisioning, High availability, Balanced virtual infrastructure (Network, Storage & Compute in right proportion for highest efficiency)
- 13. Andromeda Network Virtualization Google Cloud Platform
- 14. Google Infrastructure S Google Global CDN (focus on driving down to milliseconds between Google services and end users S $2.9B Data Centre investments worldwide S Managing the energy in the cooling - efficiency 2-3x better
- 15. Google Infrastructure S Cluster Networking S - storage building level S - computation anytime anywhere S B4 SDN: Google Software Defined WAN
- 16. Google Infrastructure S First Google File System S Inspired HDFS S Inspired Big Data revolution S World largest NoSQL Implementation S Wide area consistence storage infrastructure for transaction across planet
- 17. New Challenges S Isolation S DDoS S Virtual IP networks S Network Function Virtualization S Mapping external services into internal namespace S Authentication, authorization, billing S Maintaining efficiency while doing all of the above From Network Virtualization
- 18. Efficiency Balance Compute, Storage Capacity Bandwidth, Memory, Network Bandwidth How to provisioning your system: Problem: Different application has different balanced point SDN solution: SDN provisioning (Ser up the balance point of network compute and storage)ｖ
- 19. Efficiency Need Fundamental transformation in virtual networking How to Spin up 1000 port virtual network with isolation, load balancing, external access, bandwdith provisionin? How to deliver highest availability transparently to the end customer?
- 20. SDN + NFV S Provision an isolated, high-performance network across S NIC, soft switch, storage, packet processor, fabric switches, Tor S Audit correctness – transactional distributed operation (the weakest link is whatever part you get wrong) S Provision resources end to end QoS and availability S Logically centralized network management S Programmable packet processors for extensible network functionality S APIs for network application interoperability SDN ROLE SDN Opportunities and Challenges S “Middle boxes like functionality” SDN API for others to build their own network functionality with customized requirement NFV
- 22. Case study 1 S Datapath logical view Andromeda Network Datapath with intergrated programmable NFV S Datapath pipelined, replicated multiple times as VM resources scale out S Critical optimization applied e2e (leveraging locality, forwarding with less rules) S Goal: near native performance, CPU efficiency
- 23. Case study 1 Network Performance
- 24. Case study 1 CPU Effiency
- 25. Case Study 2 S Rapid provisioning of virtual networks S Fast ramp to peak load S Massive scale S Low Cost!
- 26. Network Virtualization @ Google S Delivering high performance shared computing infrastructure S Enable new programming model S Open up to customer to use same infrastructure S Logical centralized SDN control Orchestra across many different components S API for extensible NFV S Goals: native performance of hardware, full isolation, extensible NFV, high availability, scale out to many VMs.