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SAHARA Project

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e.g. mobility, multicast, Qos, composed services? Solutions/Design Principles: Overlay ... limited scope agreement to compose/exchange services ... – PowerPoint PPT presentation

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Title: SAHARA Project


1
SAHARA Project
  • Mohave Group
  • Kevin Lai, Z. Morley Mao, Bhaskaran Raman

2
Motivation
  • Mutually distrusting and competitive service
    providers
  • Tragedy of the commons / prisoner's dilemma
    effect
  • competitiveness prevents maximization of utility
    of provided services
  • How to provide more sophisticated services
    without global cooperation?
  • e.g. mobility, multicast, Qos, composed services?

3
Solutions/Design Principles
  • Overlay
  • Build sophisticated services on top of lowest
    common denominator model of services
  • Make minimal assumptions about underlying network
    services
  • Must infer service characteristics through
    measurement
  • Confederation
  • Stitch intra-domain functionality to form
    inter-domain service
  • limited scope agreement to compose/exchange
    services
  • May enable full translation of capabilities
  • Full specification of service characteristics,
    but must verify.

4
Which is better model?
  • May depend on specific service
  • Evaluation
  • Deployability provides more incentive and less
    cost to deploy
  • Utility maximizes overall system utility
  • Scalability scales up to global economy

5
What we should have for describing SAHARA
Scenarios
Goals
Specific issues/projects
Design Principles
Solutions/Mechanisms
6
Scenarios
  • Mobile user in foreign domain
  • Coverage by providers A B
  • As network overused, Bs underutilized
  • Can network resources be shared across providers?
  • User wishes to access email over cell-phone
  • Need to choose nearby text-to-speech engine
  • Web-access
  • Two CDNs, one far away, one nearby
  • Can the users web-pages be made available on the
    nearby CDN?

7
What we should have for describing SAHARA
Scenarios
Goals
Specific issues/projects
Design Principles
Solutions/Mechanisms
8
Design Principles
  • Utility-based resource allocation
  • Auctions, Congestion pricing
  • Trust but verify
  • Confederated composition
  • Middleware (measurement) infrastructure
  • Overlay composition

9
Problem/Issue Mechanism Principle
Wireless bandwidth allocation WaveLAN (Jimmy)
Utility-based resource allocation
Congestion pricing
10
Problem/Issue Mechanism Principle
Content placement in CDNs (Yan Chen)
Middleware meas. layer
Internet host clustering Monitors in each
cluster Periodic measurements
11
Problem/Issue Mechanism Principle
Wide-Area Service Composition (Bhaskar)
Middleware meas. Layer for overlay composition
Measurement betn. overlay peers Link-state-based
propagation
12
Problem/Issue Mechanism Principle
Always Best Connected (Machi)
Utility-based resource allocation?
Auctions? Congestion pricing?
13
Problem/Issue Mechanism Principle
Inter-provider Connectivity
Trust but verify
BGP protocol verification mechanism? (Lakshmi)
14
Problem/Issue Mechanism Principle
Authorization framework for Service Composition
(Suzuki)
Authorization control infrastructure Authorization
control protocol
Design Principle?
15
Problem/Issue Mechanism Principle
VoIP Gateway Selection (Matt)
Design principle?
Maintain per-gateway routes Route exchanges?
16
Problem/Issue Mechanism Principle
Efficient bandwidth allocn. in overlay networks
(Weidong)
Design principle?
Failure prob. model Centralized computation?
17
Problem/Issue Mechanism Principle
Broadcast Inter-Networking Inter-domain Multicast
(Mukund)
Design principle?
Gateways for inter-operation
18
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