Upload
kristin-merritt
View
213
Download
0
Tags:
Embed Size (px)
Citation preview
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© Copyright 2015 EMC Corporation. All rights reserved.
The EMC Federation Of Companies
SOFTWARE-DEFINED ENTERPRISE
SOFTWARE-DEFINED STORAGE
SOFTWARE-DEFINED DATA CENTER
AD
VA
NC
ED
SEC
UR
ITY
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© Copyright 2015 EMC Corporation. All rights reserved.
EMC EUROPE RESEARCH FOCUS
Security
Analytics forInfrastructure/
Security
SW Defined Infrastructure
Identify new trends
Co-developnew technologies
Solve difficult problems
LeverageWorldwide InnovationNetwork
5© Copyright 2015 EMC Corporation. All rights reserved.
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
6© Copyright 2015 EMC Corporation. All rights reserved.
NETWORK
THE SOFTWARE DEFINED DATA CENTRE(S)
STORAGECOMPUTE
Virtualization Layer - Cloud Operating System
Leverage Intelligence
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© 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 data
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© Copyright 2015 EMC Corporation. All rights reserved.
• VPLEX
• SRDF
• RecoverPoint
EMC KEY DISTANCE PRODUCTS
Hybrid Cloud
11© Copyright 2015 EMC Corporation. All rights reserved.
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
12© Copyright 2015 EMC Corporation. All rights reserved.
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!
13© Copyright 2015 EMC Corporation. All rights reserved.
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
14© Copyright 2015 EMC Corporation. All rights reserved.
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
15© Copyright 2015 EMC Corporation. All rights reserved.
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!
16© Copyright 2015 EMC Corporation. All rights reserved.
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
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© Copyright 2015 EMC Corporation. All rights reserved.
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
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© 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© 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
For further questions feel free to contact: [email protected]