GENI: Global Environment for Network Innovations
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Transcript of GENI: Global Environment for Network Innovations
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GENI: Global Environment for Network Innovations
Jennifer Rexford
Princeton Universityhttp://www.cs.princeton.edu/~jrex
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Outline• Networking research challenges
– Security, economic incentives, management, layer-2 technologies
• Importance of building and deploying– Bridging the gap between simulation/testbeds and real deployment
• Global Environment for Network Innovations (GENI)– Major NSF initiative to support experimental networking research– Key ideas: virtualization, programmability, and user opt-in
• GENI backbone design– Programmable routers, flexible optics, and connection to Internet
• Virtual Network Infrastructure (VINI)– Initial experimental network facility in NLR and Abilene
• Conclusions
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Is the Internet broken?• It is great at what it does.
– Everyone should be proud of this. – All sorts of things can be built on top of it.
• But…– Security is weak and not getting better.– Availability continues to be a challenge.– It is hard to manage and getting harder. – It does not handle mobility well.– A long list, once you start…
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Challenges Facing the Internet• Security and robustness
– Naming and identity– Availability
• Economic incentives– Difficulty of providing end-to-end services– Commoditization of the Internet infrastructure
• Network management– No framework in the original Internet design– Tuning, troubleshooting, accountability, …
• Interacting with underlying network technologies – Advanced optics: dynamic capacity allocation– Wireless: mobility, dynamic impairments– Sensors: small embedded devices at large scale
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FIND: Future Internet Design• NSF research initiative
– Requirements for global network of 10-15 years out?– Re-conceive the network, if we could design from scratch?
• Conceive the future, by letting go of the present:– This is not change for the sake of change– Rather, it is a chance to free our minds– Figuring out where to go, and then how to get there
• Perhaps a header format is not the defining piece of a new architecture– Definition and placement of functionality– Not just data plane, but also control and management– And division between end hosts and the network
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The Importance of Building• Systems-oriented computer science research
needs to build and try out its ideas to be effective– Paper designs are just idle speculation– Simulation is only occasionally a substitute
• We need:– Real implementation– Real experience– Real network conditions– Real users– To live in the future
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Need for Experimental Facility
Analysis Simulation / Emulation Experiment At Scale
Deployment
(models) (code)
(results)
(measurements)
Goal: Seamless conception-to-deployment process
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Today’s Tools Have Limitations• Simulation based on simple models
– Topologies, administrative policies, workloads, failures…
• Emulation (and “in lab” tests) are similarly limited– Only as good as the models
• Traditional testbeds are targeted– Not cost-effective to test every good idea– Often of limited reach– Often with limited programmability
• Testbed dilemma– Production network: real users, but hard to make changes– Research testbed: easy to make changes, but no users
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Bridging the Chasm
This chasm is a majorbarrier to realizing the
future designs
Maturity
Time
Foundational Research
Simulation and Research Prototypes
Small Scale Testbeds
DeployedFuture
InternetGlobal Experimental
Facility
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GENI• Experimental facility
– MREFC proposal to build a large-scale facility– Jointly from NSF’s CS directorate, & research community– We are currently at the “Conceptual Design” stage– Will eventually require Congressional approval
• Global Environment for Network Innovations– Prototyping new architectures– Realistic evaluation– Controlled evaluation– Shared facility– Connecting to real users– Enabling new services
See http://www.geni.net
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Three Key Ideas in GENI• Virtualization
– Multiple architectures on a shared facility– Amortizes the cost of building the facility– Enables long-running experiments and services
• Programmable– Enable prototyping and evaluation of new architectures– Enable a revisiting of today’s “layers”
• Opt-in on a per-user / per-application basis– Attract real users
• Demand drives deployment / adoption– Connect to the Internet
• To reach users, and to connect to existing services
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Slices
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Slices
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User Opt-in
Client
Server
Proxy
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Realizing the Ideas• Slices embedded in a substrate of resources
– Physical network substrate• Expandable collection of building block components• Nodes / links / subnets
– Software management framework• Knits building blocks together into a coherent facility• Embeds slices in the physical substrate
• Builds on ideas in past systems– PlanetLab, Emulab, ORBIT, X-Bone, …
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National Fiber Facility
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+ Programmable Routers
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+ Clusters at Edge Sites
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+ Wireless Subnets
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+ ISP Peers
ISP 2
ISP 1
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Closer Look
Internet
backbone wavelength
backbone switch
Sensor Network
Edge SiteWireless Subnet
Customizable Router
DynamicConfigurable
Swith
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GENI Substrate: Summary• Node components
– Edge devices– Customizable routers– Optical switches
• Bandwidth– National fiber facility– Tail circuits
• Wireless subnets– Urban 802.11– Wide-area 3G/WiMax– Cognitive radio– Sensor net– Emulation
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GENI Management Core
GMC
Management Services
Substrate Components
- name space for users, slices, & components
- set of interfaces (“plug in” new components)- support for federation (“plug in” new partners)
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Hardware Components
Substrate HW Substrate HW Substrate HW
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Virtualization Software
Virtualization SWSubstrate HW
Virtualization SWSubstrate HW
Virtualization SWSubstrate HW
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Component Manager
Substrate HW Substrate HWSubstrate HW
CM
Virtualization SW
CM
Virtualization SW
CM
Virtualization SW
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GENI Management Core (GMC)
Resource Controller Auditing Archive
Slice ManagerGMC
nodecontrol
sensordata
CM
Virtualization SWSubstrate HW
CM
Virtualization SWSubstrate HW
CM
Virtualization SWSubstrate HW
slice_spec(object hierarchy)
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Federation
. . .
GMC GMC
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User Front-End(s)
. . .
Front-End(set of management services)
GUI
GMC GMC
provisioning servicefile & naming serviceinformation plane
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Virtualization in GENI• Multiple levels possible
– Different level required by different experiments– Different level depending on the technology
• Example “base cases”– Virtual server (socket interface / overlay tunnels)– Virtual router (virtual line card / static circuits)– Virtual switch (virtual control interface / dynamic circuits)– Virtual AP (virtual MAC / fixed spectrum allocation)
• Specialization– The ability to install software in your own virtual-*
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Distributed Services in GENI• Goals
– Complete the GENI management story– Lower the barrier-to-entry for researchers (students)
• Example focus areas– Provisioning (slice embedder)– Security– Information plane– Resource allocation– Files and naming– Topology discovery– Development tools– Interfacing with the Internet, and IP
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GENI Security• Limits placed on a slice’s “reach”
– Restricted to slice and GENI components– Restricted to GENI sites– Allowed to compose with other slices– Allowed to interoperate with legacy Internet
• Limits on resources consumed by slices– Cycles, bandwidth, disk, memory– Rate of particular packet types, unique addrs per second
• Mistakes (and abuse) will still happen– Auditing will be essential– Network activity slice responsible user(s)
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Success Scenarios• Change the research process
– Sound foundation for future network architectures– Experimental evaluation, rather than paper designs
• Create new services– Demonstrate new services at scale– Attract real users
• Aid the evolution of the Internet– Demonstrate ideas that ultimately see real deployment– Provide architectural clarity for evolutionary path
• Lead to a future global network– Purist: converge on a single new architecture– Pluralist: virtualization supporting many architectures
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Working Groups to Flesh Out Design• Research (Dave Clark and Scott Shenker)
– Usage policy / requirements / instrumentation
• Architecture (Larry Peterson and John Wroclawski)– Define core modules and interfaces
• Backbone (Jen Rexford and Dan Blumenthal)– Fiber facility / routers & switches / tail circuits / peering
• Wireless (Dipankar Raychaudhuri and Deborah Estrin)– RF technologies / deployment
• Services (Tom Anderson, Reiter)– Edge sites / infrastructure and underlay services
• Education– Training / outreach / course development
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GENI Backbone Requirements• Programmability
– Flexible routing, forwarding, addressing, circuit set-up, …
• Isolation– Dedicated bandwidth, circuits, CPU, memory, disk
• Realism– User traffic, upstream connections, propagation delays, equipment
failure modes, …
• Control– Inject failures, create circuits, exchange routing messages
• Performance– High-speed packet forwarding and low delays
• Security– Preventing attacks on the Internet, and on GENI itself
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A Researcher’s View of GENI Backbone• Virtual network topology
– Nodes and links in a particular topology– Resources and capabilities per node/link– Embedded in the GENI backbone
• Virtual router and virtual switch– Abstraction of a router and switch per node– To evaluate new architectures (routing, switching,
addressing, framing, grooming, layering, …)
• GENI backbone capabilities evolve over time – To realize the abstractions at finer detail– To scale to a larger number of experiments
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Creating a Virtual Topology
Some links and nodes unused
Some links created by cutting through other nodes
Allocating a fraction of a link and node
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GENI Backbone
ISP 1
ISP 2
PC Clusters
ProgrammableRouters
WirelessSubnets
Dynamic ROADMs
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GENI Backbone Node Components• Phase 0 – General purpose blade server
– Single node with collection of assignable resources– Virtual Router may be assigned VM, blade or >1 blades
• Phase 1 – Adding higher performance components– Assignable Network Processor blades and FPGA blades– NPs also used for I/O for better control of I/O bandwidth
• Phase 2 – Adding reconfigurable cross-connect– Enable experiments with configurable transport layer– Provide “true circuits” between backbone virtual routers
• Phase 3 – Adding dynamic optical switch– Dynamic optical switch with programmable groomer and
framer, and reconfigurable add/drop multiplexers
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GENI Backbone Node Components• Phase 0 – General
purpose blade server– Node with collection of
assignable resources– Virtual Router may be
assigned a virtual machine, blade, or multiple blades
Mgm
t. Pr
oc.
SwitchSwitch
P 1 . . .P 2 P 3 P n
Mgm
t. Pr
oc.
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GENI Backbone Node Components• Phase 1 – Adding higher
performance components– Assignable Network
Processor blades and FPGA blades
– NPs also used for I/O for better control of bandwidth
– ATCA chassis and blades
. . .
10 GigE Links
Mgm
t. Pr
oc.
SwitchSwitch
PE1 . . .PE2
PEn
LCk
Mgm
t. Pr
oc.
GP BladeServer
LC1
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GENI Backbone Node Components• Phase 2 – Reconfigurable
cross-connect– Enable experiments with
configurable transport layer– Provide “true circuits”
between backbone virtual routers
– Cut-through traffic circumvents the router
VX VX
VR VR
VRVR
VR
CustomizableRouter
10GE+VLAN
1 GE
Wavelength tunable transponders/combinerWDM Fiber
ProgrammableCross-Connect/
Groomer
Cont
rol P
lane
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GENI Backbone Node Components• Phase 3 – Adding dynamic
optical switch– Dynamic optical switch with
programmable groomer and framer, and reconfigurable add/drop multiplexers
– Maleable bandwidth– Arbitrary framing
VC1 VC1Customizable
Router10GE+VLAN
1 GE
Wavelength tunable transponders
ProgrammableCross-Connect/
Groomer
Cont
rol P
lane
ROADM
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GENI Backbone Software• Component manager and virtualization layer
– Abstraction of virtual router and virtual switch– Setting scheduling parameters for subdividing resources
• Multiplexers for resources hard to share– Single BGP session with the outside world– Single interface to an element-management system
• Exchanging traffic with the outside world– Routing and forwarding software to evaluate & extend– VPN servers and NATs at the GENI/Internet boundary
• Libraries to support experimentation– Specifying, controlling, and measuring experiments– Auditing and accounting to detect misbehavior
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Feasibility• Industrial trends and standards
– Advanced Telecom Computing Architecture (ATCA)– Network processors and FPGAs– SONET cross connects and ROADMs
• Open-source networking software– Routing protocols, packet forwarding, network address
translation, diverting traffic to an overlay
• Existing infrastructure– PlanetLab nodes, software, and experiences– National Lambda Rail and Abilene backbones
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VINI: Step Toward GENI Backbone• Virtual Network Infrastructure (VINI)
– Multiple network experiments in parallel– Connections to end users and upstream providers– Supporting Internet protocols and new designs
• VINI as an initial experimental platform – Support researchers doing network experiments– Explore software challenges of building GENI backbone
• GENI will have a much wider scope– Programmable hardware routers– Flexible control of the optical components– Wireless and sensor networks at the edge
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Network Infrastructure• Network topology
– Points of Presence– Link bandwidth– Upstream connectivity
• Two backbones– Abilene Internet2– National Lambda Rail
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Building Virtual Networks• Physical nodes
– Initially, high-end computers– Later, network processors and FPGAs
• Virtual routers (a la PlanetLab)– Multiple virtual servers on a single node– Separate shares of resources (e.g., CPU, bandwidth)– Extensions for resource guarantees and priority
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Building Virtual Links• Creating the illusion of interfaces
– Create a tunnel for each link in the topology– Assign IP addresses to the end-points of tunnels– Match tunnels with one-hop links in the real topology
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Building Multiple Virtual Topologies• Separate topology per experiment
– Routers are virtual servers– Links are a subset of possible tunnels
• Creating a customized environment – Running User Mode Linux (UML) in a virtual server– Configuring UML to see multiple interfaces– Enables running the routing software “as is”
Operating System
R R R R R
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Overcoming Efficiency Challenges• Packet forwarding must be fast
– But, we are doing packet forwarding in software– And don’t want the extra overhead of UML
• Solution: separate packet forwarding– Routing protocols running within UML– Packet forwarding running outside of UML
UML
Click
XORP
XORP: routing softwareClick: forwarding software
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Carrying Real User Traffic• Users opt in to VINI
– User runs VPN client– Connects to VINI node
• External Internet hosts– VINI connects to Internet– Apply NAT at boundary
UML
UML
UML
Click
Click
Click
Client Server
UDPtunnels
XORP XORP
XORP
OpenVPN
NetworkAddressTranslation
routing-protocolmessages
VINI
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Example VINI Experiment• Configure VINI just like Abilene
– VINI node per PoP– VINI link per inter-PoP link – Routing configuration as real routers
• Network event– Inject link failure between two PoPs– … in midst of an ongoing file transfer
• Measuring routing convergence– Packet monitoring of the data transfer– Active probes of round-trip time & loss– Detailed view of effects on data traffic
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VINI Current Status• Initial Abilene deployment
– Eleven sites– Nodes running XORP and Click on UML
• Upcoming deployment– Six sites in National Lambda Rail– … with direct BGP sessions with CRS-1 routers– Dedicated 1 Gbps bandwidth between Abilene sites
• In the works– Upstream connectivity via a commercial ISP in NYC– Speaking interdomain routing with the Internet
Initial write-up: http://www.cs.princeton.edu/~jrex/papers/vini.pdf
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Conclusions• Future Internet poses many research challenges
– Security, network management, economics, layer-2, …
• Research community should rise to the challenge– Conceive of future network architectures– Prototype and evaluate architectures in realistic settings
• Global Environment for Network Innovations (GENI)– Facility for evaluating new network architectures– Virtualization, programmability, and user opt-in
• GENI backbone design– Fiber facility, tail circuits, and upstream connectivity– Programmable router and dynamical optical switch
• VINI prototype– Concrete step along the way to the GENI backbone