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PArallel, Networking and Distributed Applications Research at UVic

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Title: PArallel, Networking and Distributed Applications Research at UVic


1
PArallel, Networking and Distributed Applications
Research at UVic
  • Steven Shelford and Jeff Hornsberger
  • PANDA Lab
  • University of Victoria

2
Agenda
  • Optimal Admission Control - Steven
  • Sensor Network Routing - Jeff

3
Optimal Admission Control
  • Steven Shelford

4
The Problem
  • Tech wreck, telecomm spending collapse
  • Internet traffic continues to grow
  • Too little of it attracts REVENUE! So,
  • Got to find some new apps . . .
  • Video on demand Blockbuster,
  • videoconferencing especially since 9/11,
  • Interactive video . . .

5
The Problem
  • multimedia applications like
  • movies
  • high-quality videoconference
  • Web/video/audio hybrid forms
  • have stringent Quality of Service requirements
    (data rate, latency, BER, etc)

6
But . . .
  • Current Internet cannot guarantee QoS
  • IP datagram based
  • Too-late binding of resources to datagrams

7
Optimal Admission Control
  • Work at UVic

8
Dave Hudsons IdeaThe High Performance Optical
Overlay
  • A second set of networks
  • carries IP datagrams
  • designed for guaranteed QoS
  • I.e. connection-oriented
  • augments the current Internet

9
The High Performance Optical Overlay
Admission controller
High Performance Optical Overlay
Client-side content switch
Internet
clients
10
The Admission Controller
  • Guarantee QoS for every admitted session
  • Admitting to optimize network revenue, while
    considering all link capacity constraints
  • Mapped to a type of combinatorics problem the
    knapsack problem
  • Only for small set of interconnected networks

11
Optimal Admission Control
  • Future Work scalability, economics computer
    science

12
New Ideas
  • Considering optimal admission between a large set
    of networks, owned by different entities
  • Need new definition of optimal socially optimal
    economic term

13
Network Market Model
  • Optimal link pricing by layered market of network
    components

14
Research Focus
  • Assume bandwidth exchange per network or
    geographic area
  • Purchase necessary bandwidth from various
    vendors
  • Purchase multiple items (link bandwidths) to form
    end-to-end path
  • Considering optimal admission, where optimal is
    socially optimal

15
How Much Functionality?
  • Base functionality only, allow firms to offer
    extended functionality
  • I.e.
  • Purchase bandwidth on a path in short time
    intervals (say 5 seconds) if prices go too
    high, lose connection.
  • Can purchase guaranteed long-term (2 hours for a
    movie) connections through insurance firms
    (i.e. ISPs) which will accept risk of fluctuating
    prices but at a cost

16
Summary
  • Optimal admission necessary for new revenue
    producing services over the Internet
  • Previous works focus on admission control in
    terms of knapsack problem for a small set of
    interconnected network
  • New work focuses on economics for insight into
    scalable solution

17
Sensor Network Routing
  • Jeff Hornsberger

18
Why Sensor Networks?
  • Future ubiquitous computing applications

19
Types of Wireless Networks
  • Infrastructure-based
  • Infrastructure-less

20
What is a Sensor Network?
  • Infrastructure-less, resource constrained,
    wireless network.

21
Sensor Networks
  • Sensors form self-organizing, multi-hop ad hoc
    network.

Sink
Task Manager
User
Sensor Nodes
Sensor Field
22
Sensor Constraints
  • Cost
  • Size
  • Power
  • Processing Capability
  • Bandwidth and Range
  • Memory

23
Network Characteristics
  • Location knowledge
  • Network size
  • Traffic patterns
  • Node failure

24
Research Activities
  • Moving data through the network.

25
Sensor Network Research
  • Need for targeted research
  • Network Layer
  • Routing

26
Network Layer Routing
  • End-to-end communication
  • Scalability
  • Sensor field lifetime

27
Routing Strategies
  • Location knowledge
  • Addressing
  • Diversity injection
  • Reduced state
  • Energy and node conservation

28
Summary
  • Basis for ubiquitous computing applications
  • Targeted research required
  • Routing must scale and prolong sensor field
    lifetime

29
Thanks
  • Steven Shelford Admission Control
  • Jeff Hornsberger Sensor Networks
  • For other Multimedia Research within PANDA see
  • http//panda.cs.uvic.ca
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