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

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Presentation on theme: "1© Copyright 2015 EMC Corporation. All rights reserved. SDN INTELLIGENT NETWORKING IMPLICATIONS FOR END-TO-END INTERNETWORKING Simone Mangiante Senior."— Presentation transcript:

1 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

2 2© Copyright 2015 EMC Corporation. All rights reserved. THE EMC FEDERATION OF COMPANIES SOFTWARE-DEFINED STORAGE ADVANCED SECURITY

3 3© Copyright 2015 EMC Corporation. All rights reserved. COMPLETING THE PORTFOLIO The Software-Defined Data Center Information Infrastructure Content, Process & Collaboration Apps End User Computing Next Generation Cloud & Big / Fast Data Apps

4 4© Copyright 2015 EMC Corporation. All rights reserved. EMC EUROPE RESEARCH FOCUS Security Analytics for Infrastructure/ Security SW Defined Infrastructure Identify new trends Co-develop new technologies Solve difficult problems Leverage Worldwide Innovation Network

5 5© Copyright 2015 EMC Corporation. All rights reserved. ACTIVE EU PROJECTS ProjectMain PartnersFocus Area SOLASData mobility & SDDC Architectures SPECSSecurity SLAs for CSPs SPARKSSecurity Analytics for Smart Grids NEATSDN for IoT and Big Data Apps ESCUDOData Privacy & Security SAFEcryptoKey Management

6 6© Copyright 2015 EMC Corporation. All rights reserved. THE SOFTWARE DEFINED DATA CENTRE(S) Virtualization Layer - Cloud Operating System Leverage Intelligence

7 7© Copyright 2015 EMC Corporation. All rights reserved. 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

8 8© Copyright 2015 EMC Corporation. All rights reserved. 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

9 9© Copyright 2015 EMC Corporation. All rights reserved. Big Data Analytics vCDN’s Backup Replication Dynamic Workload Migration Hybrid Cloud USE CASES NEW AND OLD

10 10© Copyright 2015 EMC Corporation. All rights reserved. VPLEX SRDF RecoverPoint EMC KEY DISTANCE PRODUCTS Hybrid Cloud

11 11© Copyright 2015 EMC Corporation. All rights reserved. A NEW APPROACH TO NETWORKING Network 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

12 12© Copyright 2015 EMC Corporation. All rights reserved. IMAGINE A NETWORK THAT REACTS TO YOUR APPLICATION… Leveraging SDN we can allow Storage Functions to signal changes in bandwidth demand Network Demand!

13 13© Copyright 2015 EMC Corporation. All rights reserved. VIEW OF DYNAMIC BANDWIDTH ALLOCATION Bandwidth Time Path Capacity Reserved for Other Network Traffic Reserved for VMware Clustering Reserved for RecoverPoint Reserved for SRDF Reserved for VPLEX Available Capacity New VPLEX task started Additional bandwidth requested Additional bandwidth removed

14 14© Copyright 2015 EMC Corporation. All rights reserved. PROOF OF CONCEPT ARCHITECTURE

15 15© Copyright 2015 EMC Corporation. All rights reserved. Multiple connections between multiple sites Single path utilized in normal operation MULTIPLE APPROACHES – PHASE II HOW THE NETWORK REACTS TO DEMAND: PATH CREATION When demand increases diverse separate paths are added, flows are split between paths VPLEX Diverse Paths Secondary ISP VPLEX Increased Demand!

16 16© Copyright 2015 EMC Corporation. All rights reserved. VIEW OF DYNAMIC BANDWIDTH ALLOCATION USING MULTIPLE PATHS – PHASE II Bandwidth Time Reserved for Other Network Traffic Reserved for VMware Clustering Reserved for RecoverPoint Reserved for SRDF Reserved for VPLEX Path 1 New VPLEX task started Separate paths requested Separate paths removed Reserved for VPLEX Path 2 Path 3

17 17© Copyright 2015 EMC Corporation. All rights reserved. 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

18 18© Copyright 2015 EMC Corporation. All rights reserved. THREE NETWORKED DATA CENTERS IP Fabric UCC 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

19 19© Copyright 2015 EMC Corporation. All rights reserved. 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

20 20© Copyright 2015 EMC Corporation. All rights reserved. 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

21 21© Copyright 2015 EMC Corporation. All rights reserved. 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

22 For further questions feel free to contact:  simone.mangiante@emc.com


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