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Review of: A Survey of Programmable Networks

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49 papers cited. Provides taxonomy of projects ... API provides calls for network-wide services. Service composition, control, resource management ... – PowerPoint PPT presentation

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Title: Review of: A Survey of Programmable Networks


1
Review of A Survey of Programmable Networks
Research Seminar on Reconfigurable
Hardware http//www.arl.wustl.edu/lockwood/class/
cs6812/
CS6812 Fall 2002
Lockwood
  • Paper by
  • Andrew T. Campbell (Columbia), Herman G. De Meer
    (Univ. Hamburg), Michael E. Kounavis (Columbia),
    Kazuho Miki (Hitachi), John B. Vicente (Intel),
    and Daniel Villela (Columbia)
  • Published in
  • Computer Communications Review
  • April 1999
  • Original copy on-line as
  • http//www.acm.org/sigcomm/ccr/archive/1999/apr99/
    ccr-9904-campbell.pdf
  • Survey by
  • John Lockwood

2
The Challenge
  • Provide ability to
  • Rapidly create new services
  • Rapidly deploy new services
  • Find a way to manage
  • Open the network to new services
  • Maintain control
  • Maintain security

3
Style of the Paper
  • A Survey of existing work
  • Broad, not deep, coverage
  • Large number of references
  • 49 papers cited
  • Provides taxonomy of projects

4
Network APIs
  • Opensig
  • Standard Interface for switches, routers
  • Hardware modeled with open network interfaces
  • Managed by middleware, like CORBA
  • Telecommunications approach
  • Control and transport separate
  • Active Network (AN) DARPA Approach
  • Active packets with Code and Data
  • Capsules Executable programs, like Java
  • Much more dynamic than Opensig

5
Programmable Network Model
  • Higher level services composed from lower-level
    API calls
  • Separation Between
  • Transport
  • Video packets
  • Control
  • RSVP
  • Management
  • SNMP

6
Node Operating Systems
  • Functions
  • Signaling
  • Control
  • Management
  • Downloading new boot images
  • Properties
  • Closed
  • Proprietary
  • Not open to 3rd party development
  • Example
  • CISCO IOS

7
Node Interface
  • Lowest level of programmability
  • in this framework
  • Sits above node hardware
  • Like a device driver Fig. 2
  • Node Interface performs
  • Access and control of node resources
  • Communication Services
  • Local significance Only
  • Not a part of a group

8
Network Programming Interface
  • Controls multiple nodes
  • API provides calls for network-wide services
  • Service composition, control, resource management
  • Constructed from
  • Scratch, -or-
  • Existing distributed computing environments
  • xbind Corba
  • Mobiware Corba
  • Virtual Machines
  • Active Network Transport Systems (ANTS)

9
Programmable Network Architecture
  • Network Services
  • Services available to end systems
  • Network Algorithms
  • Transport, signaling/control, management
  • Multiple time scales
  • Network state management

10
Programmable Networks
  • Characteristics
  • Network technology
  • QoS-capable ATM
  • Scalable Internet
  • Limited Mobile
  • Level of programmability
  • Granularity
  • Time scale
  • Communications abstraction
  • Virtual switches, active nodes, channels
  • Architecture domain
  • Signaling, management, transport

11
Granularity of Control
  • Course Grain
  • Single packet can affect all future packets are
    routed
  • Fine Grain
  • Single packet (capsule) can only affect how it is
    routed

12
Network Technology
  • IP Networks Smart packets U. Kansas
  • Java classes
  • Resource controllers
  • Interface to Node
  • Node managers
  • Limits on CPU/resource usage
  • State managers
  • Control how much state a packet may leave at a
    node

13
Level of Programmability
  • Capsules
  • MIT
  • Carry code and data
  • Uncoordinated deployment of protocols
  • Example ANTS
  • Multicast services
  • Mobile routing
  • Application-level filtering

14
Levels of Programmability continued
  • Switchware
  • Univ. of Pennsylvania
  • Node-resident services invoked by commands in
    packets
  • Off-line verification to ensure that low-level
    extensions are safe
  • Functional languages
  • Caml, PLAN

15
Levels of Programmability continued
  • Composition Languages CANES Project
  • University of Kentucky Georgia Tech
  • Control sequence which components are executed
  • Control on how data is shared between components
  • Control data shared between components
  • Invocation Methods
  • Events that cause a composite to be executed

16
Communications Abstraction
  • NodeOS
  • Lowest level of reprogrammable network framework
  • Provides an execution environment for
  • Treads Computation
  • Memory Storage
  • Channels Communication capacity
  • Flows Admission Control
  • Active Network Encapsulation Protocol (ANEP)
  • Portability against physical nodes

17
Communications Abstraction (Continued)
  • Netscript
  • Columbia University
  • Functional Language
  • Strongly typed language
  • A Postscript for an Active Network node
  • Tempest
  • University of Cambridge
  • Multiple control architectures for ATM
  • Switchlets Logical elements, partition of switch

18
Communications Abstraction (Continued)
  • Darwin Project
  • Carnegie Mellon University
  • Resource Management Middleware
  • Supports QoS
  • Components
  • Xena Request Broker
  • Can implement traffic control
  • Beagle Signalling Protocol
  • Can implement RSVP

19
Communications Abstraction (Continued)
  • Smart Packets Project
  • BBN, not Kansas
  • Encapsulation of packets ANEP
  • Applications written in
  • Sprocket C-like language with security -or-
  • Spanner Low-level assembly-like language
  • Program Example
  • MIB data retrieval

20
Common Properties Table 1
  • Common Goals
  • Composing services (13)
  • Network management (3)
  • Virtual networks (2)
  • Enabling overlays (1)
  • Programming Methodologies
  • Java 4, CORBA/IDL 3, Others
  • Level of Programmability
  • Dynamic 10, Quasi-static 3, Static 1
  • Security
  • Switchware

21
Conclusions
  • Innovations
  • Separate form from function
  • not hardware from software, as noted by author
  • Make programmable interfaces available
  • Virtualize the network infrastructure
  • Provide rapid creation and deployment of new
    services
  • Allow coexistence of different network
    architectures over the same physical network

22
Questions and Discussion
  • What was right with the Active Network model?
  • What was wrong with the Active Network model?
  • Can higher-level network layers be built on top
    of underlying networks that change?
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