presentationGAATT

S

ONS2014Content Take Away

John Donovan, AT&T

How SDN enabled innovations will impact

AT&T’s plans to transform it’s infrastructure

Openness

Transformation & Innovation

Flexibility + Simplicity + SpeedNew Resources Model in vM

Redefining end point

Time required to provision services

SDN + NFVTelecom Network

Running on vM Simpler

Scalable

AT&T

www.at&tmorationspace.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

Transformation @ AT&TSimilar 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

Domain 2.0 DODO

2014 Domain 1.5

Control on existing platforms – extend utilizing

New Platform in 2015 - NO overlay network – distributed cloud

2015 4600 Data Centre

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

APIs – Do Policy & Provisioning

Software

Orchestrate in highly distributed network

Why running their services on your network?

Platform Extra move security into cloud system getter smarter as components get smarter through

communication

Privacy & Liability Guidelines Clarify boundaries – syntactic data build capability without

touching the raw 3 new technologies – control plane role, library, routing

system for data object – abstract syntactic data– no compromising customers

Radical reshaping entire white area

Early Road Map Items Excess part of network and core backbone = 2 highest

requirement and list amount of generated incremental benefit Data Centre – Latency tolerance (policy & authothenticy) = mobile

core converging wireless and wire line in universal services IMS

platform

Network Access Wireless – more like R&C pooling – really virtualization Complex (3G, 4G, wifi, AWS, WCS…) load very fast Optimized backbone switches and routing

Amin Vahdat, GoogleGoogle’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...

Networking @ GoogleNetwork Corporation Team

CLOUD

Infinite computer storage on demand

Fundamentally easier operational model (not there yet – true promise of the cloud – scale business)

Much higher of time – 3or4 nines of availability for services (multiplexing – leverage)

State-of-the-art infrastructure services – DoS, Load Balancing, Storage (can’t buy string out) – Offer these services = key to success

Programming models unavailable elsewhere – low lactency programming, massive IOPS

Andromeda Network Virtualization

Google Cloud Platform

CLOUD

SDN control of entire hardware/software – QoS, Latency, fault tolerance (Holistic Approach)

Virtualize SDN with NFV (Non-standard Network functionality per packet, can’t predict all the services, API for NFV = big opportunity)

Orchestrate & Manage: Network provisioning, High availability, Balanced virtual infrastructure (Network, Storage & Compute in right proportion for highest efficiency)

Andromeda Network Virtualization

Google Cloud Platform

Google Infrastructure

Google Global CDN (focus on driving down to milliseconds between Google services and end users

$2.9B Data Centre investments worldwide

Managing the energy in the cooling - efficiency 2-3x better

Google Infrastructure

Cluster Networking

- storage building level

- computation anytime anywhere

B4 SDN: Google Software Defined WAN

Google Infrastructure

First Google File System

Inspired HDFS

Inspired Big Data revolution

World largest NoSQL Implementation

Wide area consistence storage infrastructure for transaction across planet

New Challenges

Isolation

DDoS

Virtual IP networks

Network Function Virtualization

Mapping external services into internal namespace

Authentication, authorization, billing

Maintaining efficiency while doing all of the above

From Network Virtualization

EfficiencyBalance 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

EfficiencyNeed 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?

SDN + NFV

Provision an isolated, high-performance network across NIC, soft switch, storage, packet processor, fabric switches, Tor Audit correctness – transactional distributed operation (the

weakest link is whatever part you get wrong) Provision resources end to end QoS and availability

Logically centralized network management

Programmable packet processors for extensible network functionality

APIs for network application interoperability

SDN ROLE

SDN Opportunities and Challenges

“Middle boxes like functionality” SDN API for others to build their own network functionality with customized requirement

NFV

Andromeda Control Stack

Case study 1

Datapath logical view

Andromeda Network Datapath with intergrated programmable NFV Datapath pipelined, replicated multiple times as VM resources

scale out Critical optimization applied e2e (leveraging locality, forwarding

with less rules) Goal: near native performance, CPU efficiency

Case study 1

Network Performance

Case study 1

CPU Effiency

Case Study 2

Rapid provisioning of virtual networks

Fast ramp to peak load

Massive scale

Low Cost!

Network Virtualization @ Google

Delivering high performance shared computing infrastructure Enable new programming model Open up to customer to use same infrastructure

Logical centralized SDN control Orchestra across many different components

API for extensible NFV

Goals: native performance of hardware, full isolation, extensible NFV, high availability, scale out to many VMs.