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Network Virtualization

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Leasing virtual components to others. ISPs have unused node and link capacity ... E.g.: airplanes, auto industry, and commercial real estate. PEK. ATL. JFK. SFO ... – PowerPoint PPT presentation

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Title: Network Virtualization


1
Network Virtualization
  • Jennifer Rexford
  • Advanced Computer Networks
  • http//www.cs.princeton.edu/courses/archive/fall08
    /cos561/
  • Tuesdays/Thursdays 130pm-250pm

2
Introduction
  • Motivation for network virtualization
  • Deployment dilemma, too many design goals, and
    coordination constraint
  • Pluralist networks
  • Economic refactoring
  • Infrastructure and service providers
  • Research challenges
  • Systems challenges
  • Resource allocation

3
The Internet A Remarkable Story
  • Tremendous success
  • From research experiment to global communications
    infrastructure
  • The brilliance of under-specifying
  • Best-effort packet delivery service
  • Key functionality at programmable end hosts
  • Enabled massive growth and innovation
  • Ease of adding hosts and link technologies
  • Ease of adding services (Web, P2P, VoIP, )
  • But, change is easy only at the edge ?

4
Rethinking the Network Architecture
  • But, the Internet is showing signs of age
  • Security, mobility, availability, manageability,
  • Challenges rooted in early design decisions
  • Weak notion of identity, tying address location
  • Not just a matter of redesigning a single
    protocol
  • Revisit definition and placement of function
  • What are the types of nodes in the system?
  • What are their powers and limitations?
  • What information do they exchange?

5
Hurdle 1 Deployment Dilemma
  • An unfortunate catch-22
  • Must deploy an idea to demonstrate feasibility
  • Cant get an undemonstrated idea deployed
  • A corollary the testbed dilemma
  • Production network real users, but cant change
  • Research testbed easy changes, but no users
  • Bad for the research community
  • Good ideas sit on the shelf
  • Promising ideas do not grow up into good ones

6
Hurdle 2 Too Many Design Goals
  • Many different system-engineering goals
  • Scalability, reliability, security, privacy,
    robustness, performance guarantees,
  • Perhaps we cannot satisfy all of them at once
  • Applications have different priorities
  • Online banking security
  • Web surfing privacy, high throughput
  • Voice and gaming low delay and loss
  • Compromise solution isnt good for anyone

7
Hurdle 3 Coordination Constraint
  • Difficult to deploy end-to-end services
  • Benefits only when most networks deploy
  • No single network wants to deploy first
  • Many deployment failures
  • QoS, IP multicast, secure routing, IPv6,
  • Despite solving real, pressing problems
  • Increasing commoditization of ISPs

1
2
3
sender
receiver
8
Virtualization to the Rescue
  • Multiple customized architectures in parallel
  • Multiple logical routers on a single platform
  • Isolation of resources, like CPU and bandwidth
  • Programmability for customizing each slice

9
Overcoming the Hurdles
  • Deployment Dilemma
  • Run multiple experimental networks in parallel
  • Some are mature, offering services to users
  • Isolated from others that are works in progress
  • Too Many Design Goals
  • Run multiple operational networks in parallel
  • Customized to certain applications and users
  • Coordination Constraint
  • Run multiple end-to-end services in parallel
  • Over equipment owned by different parties

10
Pluralist Future
11
The Case for Pluralism
  • Suppose we can break down the barriers
  • Enable realistic evaluation of new ideas
  • Overcome the coordination constraint
  • Maybe there isnt just one right answer
  • Maybe the problem is over-constrained
  • Too many goals, some of them conflicting
  • Maybe the goals change over time
  • And well always be reinventing ourselves
  • The only constant is change
  • So, perhaps we should design for change

12
Different Services, Different Goals
  • Performance
  • Low delay/jitter VoIP and online gaming
  • High throughput bulk file transfer
  • Security/privacy
  • High security online banking and e-commerce
  • High privacy Web surfing
  • Scalability
  • Very scalable global Internet reachability
  • Not so scalable communication in small groups

13
Applications Within an Single ISP
  • Customized virtual networks
  • Security for online banking
  • Fast-convergence for VoIP and gaming
  • Specialized handling of suspicious traffic
  • Testing and deploying new protocols
  • Evaluate on a separate virtual network
  • Rather than in a dedicated test lab
  • Large scale and early-adopter traffic
  • Leasing virtual components to others
  • ISPs have unused node and link capacity
  • Can allow others to construct services on top

14
Economic Refactoring in CABO
Infrastructure Providers
Service Providers
  • Infrastructure providers Maintain routers,
    links, data centers, and other physical
    infrastructure
  • Service providers Offer end-to-end services
    (e.g., layer 3 VPNs, SLAs, etc.) to users

Today ISPs try to play both roles, and cannot
offer end-to-end services
15
Similar Trends in Other Industries
  • Commercial aviation
  • Infrastructure providers Airports
  • Infrastructure Gates, hands and eyes support
  • Service providers Airlines

JFK
SFO
PEK
ATL
E.g. airplanes, auto industry, and commercial
real estate
16
Communications Networks, Too!
  • Two commercial examples in IP networks
  • Packet Fabric share routers at exchange points
  • FON resells users wireless Internet connectivity
  • FON economic refactoring
  • Infrastructure providers Buy upstream
    connectivity
  • Service provider FON as the broker (www.fon.com)

17
Enabling End-to-End Services
  • Secure routing protocols
  • Multi-provider Virtual Private Networks
  • Paths with end-to-end performance guarantees

Today
Cabo
Competing ISPs with different goals must
coordinate
Single service provider controls end-to-end path
18
Research Challenges
19
Virtualized and Programmable Routers
  • Multiple routers on a single substrate
  • Multiple control planes
  • Multiple data planes
  • Design trade-offs
  • Speed aggregate forwarding performance
  • Getting close to raw forwarding speed
  • Isolation avoiding interference
  • Avoiding jitter and resource contention
  • Customization programmability of the data plane
  • Moving beyond IPv4 packets and Ethernet frames
  • Software (e.g., Click) vs. hardware (e.g.,
    NetFPGA)?

20
Control Frameworks
  • Embedding virtual topology in physical one
  • Finding suitable physical nodes and physical
    links
  • With enough CPU, bandwidth, and memory
  • and satisfying geographic and delay constraints
  • Instantiating the virtual network
  • Creating each virtual node and virtual link
  • Reserving the necessary resources
  • Monitoring the running system
  • Detecting and diagnosing problems
  • Providing measurement data to virtual network

21
Ways to Exploit Router Virtualization
  • Exploiting the new capabilities in routers
  • Separation of the physical from the logical
  • Ability to run multiple routers in parallel
  • Example virtual router migration
  • Moving router from one physical node to another
  • E.g., for planned maintenance or service roll-out
  • Example bug-tolerant routers
  • Running multiple instances of routing software
  • and voting to protect the system from bugs

22
Discussion Internet vs. Pluralism
  • Internet architecture
  • End-to-end argument
  • Best-effort packet-delivery service
  • Narrow waist of IP
  • Separation of intradomain from interdomain
  • Virtualized programmable networks
  • Complete control within a virtual network
  • Programmable functionality inside the network
  • Different (virtual) networks for different
    services

23
Discussion Experimental Infrastructure
  • How to evaluate research ideas?
  • Analysis
  • Simulation
  • Prototyping
  • Deployment studies
  • Importance of wide-area deployment?
  • Realistic traffic and network conditions
  • Real users and participation in experiments
  • How real does real need to get?
  • Will researchers bother to build and deploy?
  • Incentives for conducting this kind of research
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