1© Copyright 2015 EMC Corporation. All rights reserved. SDN INTELLIGENT NETWORKING IMPLICATIONS FOR END-TO-END INTERNETWORKING Simone Mangiante Senior

1© Copyright 2015 EMC Corporation. All rights reserved.

SDN INTELLIGENT NETWORKING

IMPLICATIONS FOR END-TO-END INTERNETWORKING

Simone Mangiante

Senior research scientist

EMC Centre of Excellence, Ireland

HEPTech, Budapest, 30/03/2015


The EMC Federation Of Companies

SOFTWARE-DEFINED ENTERPRISE

SOFTWARE-DEFINED STORAGE

SOFTWARE-DEFINED DATA CENTER

AD

VA

NC

ED

SEC

UR

ITY


Completing The Portfolio

The Software-Defined Data Center

Information Infrastructure

Content, Process & Collaboration Apps

End User Computing

Next Generation Cloud & Big / Fast Data Apps


EMC EUROPE RESEARCH FOCUS

Security

Analytics forInfrastructure/

Security

SW Defined Infrastructure

Identify new trends

Co-developnew technologies

Solve difficult problems

LeverageWorldwide InnovationNetwork


ACTIVE EU PROJECTS

Project Main Partners Focus Area

SOLAS Data mobility & SDDC Architectures

SPECS Security SLAs for CSPs

SPARKS Security Analytics for Smart Grids

NEAT SDN for IoT and Big Data Apps

ESCUDO Data Privacy & Security

SAFEcrypto Key Management

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https://www.google.co.uk/imgres?imgurl&imgrefurl=http://logos.wikia.com/wiki/File:Cisco.png&h=0&w=0&tbnid=f7zC6je8GEGTqM&zoom=1&tbnh=194&tbnw=259&docid=4y5oQYD2AN4KRM&tbm=isch&ei=kjhRVPDoNtWHsQS4tYLYCA&ved=0CAQQsCUoAA

http://www.google.co.uk/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&uact=8&ved=0CAcQjRw&url=http://en.wikipedia.org/wiki/SAP_SE&ei=QEFRVLWwKuy1sQSa7YDwBQ&bvm=bv.78597519,d.cWc&psig=AFQjCNEl2oqr_wdAMT2kN21rn4BQt31Lsg&ust=1414697657314816

http://www.google.co.uk/url?sa=i&rct=j&q=&source=images&cd=&cad=rja&docid=R8NU_rHZPBCf9M&tbnid=qF2BBZdLT-_w_M:&ved=0CAUQjRw&url=http://www.scotlandis.com/news/stories/21_communities_from_oban_to_stranraer_included_in_latest_phase_of_bts_2.5_billion_fibre_broadband&ei=7OC1Ud-wFfX54APlr4GADA&bvm=bv.47534661,d.dmg&psig=AFQjCNEA79b4v-rvC3uX5B-Bs9FsTo3Tdw&ust=1370960474485254

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NETWORK

THE SOFTWARE DEFINED DATA CENTRE(S)

STORAGECOMPUTE

Virtualization Layer - Cloud Operating System

Leverage Intelligence


• Industry trending to IP networking• Storage networks, inter-site connections moving to IP

• Workload mobility between datacenters• IP networking enables virtualization• Virtualization shifts workloads between sites

• Increased competing demands on limited WAN resources• Explosion of wireless/mobile IP devices• Poor or unreliable performance• Expensive solutions

INDUSTRY TRENDS


• There is an increasing volume of data traffic between data centers

• Growing need to transfer large datasets and manage them efficiently

• Data transfers are slow and costly

• Static network resource allocation

PROBLEM: TRADITIONAL DATACENTER NETWORKS

data data


• Big Data Analytics

• vCDN’s

• Backup

• Replication

• Dynamic Workload Migration

• Hybrid Cloud

USE CASES NEW AND OLD


• VPLEX

• SRDF

• RecoverPoint

EMC KEY DISTANCE PRODUCTS

Hybrid Cloud


A New Approach to NetworkingNetwork virtualization is all about abstracting network services

and operations from the underlying hardware.

This moves network configuration decisions to a central location and enables you to manage your network at the speed of software

Configuration is done with knowledge of the entire network state


IMAGINE A NETWORK THAT REACTS TO YOUR APPLICATION…

WHAT IF AN APPLICATION COULD TELL THE NETWORK WHEN BANDWIDTH REQUIREMENTS CHANGE?

Leveraging SDN we can allow Storage Functions to signal changes in bandwidth demand

Network Demand!


VIEW OF DYNAMIC BANDWIDTH ALLOCATIONB

andw

idth

Time

Path Capacity

Reserved for Other Network TrafficReserved for VMware ClusteringReserved for RecoverPointReserved for SRDFReserved for VPLEX

AvailableCapacity

New VPLEX task started

Additional bandwidth requested

Additional bandwidth removed


Proof of Concept Architecture

`

WAN

VNX

VPlex

SAN

VPlex

VNX

Packet Switch

PacketSwitch

NVP Controller

ESXi Cluster ESXi Cluster

SAN

NVP Gateway NVP Gateway

40KM

10GNetwork

Data Center A Data Center B

Service Node

NVP Logical Switch

VPLEX Distributed logical volume

VPLEX Stretched Cluster

OpticalSwitch

OpticalSwitch


Multiple connections between multiple sites

Single path utilized innormal operation

MULTIPLE APPROACHES – PHASE IIHOW THE NETWORK REACTS TO DEMAND: PATH CREATION

When demand increases diverse separate paths are added, flows are split between paths

VPLEX

VPLEX

Diverse Paths

Secondary ISP

VPLEX

VPLEX

Increased Demand!


VIEW OF DYNAMIC BANDWIDTH ALLOCATION

USING MULTIPLE PATHS – PHASE II

Bandw

idth

TimeReserved for Other Network TrafficReserved for VMware ClusteringReserved for RecoverPointReserved for SRDFReserved for VPLEX

Path 1

New VPLEX task started

Separate paths

requested

Separate paths

removed

Reserved for VPLEX

Reserved for VPLEX

Path 2

Path 3


• Software Defined Network (SDN) solution that allows– Dynamic end-to-end allocation of resources– Awareness of both network resources and application

demand– Hardware isolation of each flow in the network

• SDN controller configures and manages the different network paths

CURRENT WORK


Three Networked Data Centers

IP Fabric

UCC

Data Center

Data Center

Data Center

• Multiple Physical Networks

• High Capacity Fiber

• Networking Platform for:

– Evaluating optical platforms, topologies, protocols

– Next Generation connectivity, Dark Fiber Cloud

– Engineering, Tech Support & Advanced customer solutions


• Management of large and long data flows:– Data replication– Big Data– Video streaming– Research experiments

• Isolated paths and guaranteed bandwidth for specific QoS requirements

• Internet of Things

SCENARIOS


• Discovery, Dynamic Provisioning, Pool management

• Path configuration

• Scheduling of n/work resources

• Indicating available network capacity (to help e.g. a video application decide whether to switch its encoding).

• Congestion control, avoidance and reporting

• Security requirements, preferred network interface, etc.

• All at the right levels of abstraction!

CONNECTIVITY SERVICES FOR STORAGE


• Traffic classification traffic engineering– Classify packets into high and low priority queues/flows

• Management of storage related network traffic

• Traffic prediction: track and analyze flows

• Fault handling in SDN network

• Scalability

• Policy

• Scheduling

FURTHER WORK - RESEARCH CHALLENGES

For further questions feel free to contact: [email protected]

Documents

1© Copyright 2015 EMC Corporation. All rights reserved. SDN INTELLIGENT NETWORKING IMPLICATIONS FOR END-TO-END INTERNETWORKING Simone Mangiante Senior