PROFITABLE CONNECTION ASSIGNMENT IN ALL OPTICAL WDM NETWORKS - PowerPoint PPT Presentation

1 / 17
About This Presentation
Title:

PROFITABLE CONNECTION ASSIGNMENT IN ALL OPTICAL WDM NETWORKS

Description:

Title: PROFITABLE CONNECTION ASSIGNMENT IN ALL OPTICAL WDM NETWORKS Author: Computer Science and Engineering Department Last modified by: vanand Created Date – PowerPoint PPT presentation

Number of Views:210
Avg rating:3.0/5.0
Slides: 18
Provided by: ComputerSc204
Category:

less

Transcript and Presenter's Notes

Title: PROFITABLE CONNECTION ASSIGNMENT IN ALL OPTICAL WDM NETWORKS


1
PROFITABLE CONNECTION ASSIGNMENT IN ALL OPTICAL
WDM NETWORKS
  • VISHAL ANAND
  • LANDER
  • (Lab. for Advanced Network Design, Evaluation and
    Research)
  • In collaboration with
  • Tushar Katarki and Chunming Qiao
  • CSE Dept., SUNY at Buffalo

2
Outline
  • Introduction
  • Related work
  • Maximum Profitability Problem
  • Concluding remarks
  • Questions and discussion
  • Vishal Anand

3
Introduction
  • Optical WDM networks - future backbone for wide
    area networks.
  • Physical Topology - Optical wavelength routers
    connected by fiber links.
  • Lightpath or connection - Path between two end
    nodes and a wavelength on that path.
  • No wavelength conversion - Any lightpath uses the
    same wavelength on all the links its path spans.
  • Vishal Anand

4
The RWA(Routing Wavelength Assignment) Problem
  • Given
  • a network topology
  • a set of traffic demands (or connection
    requests).
  • Determine the routes and wavelengths to use so as
    to satisfy the demands.
  • The RWA problem is usually solved to optimize
    some specified objective(s).
  • Vishal Anand

5
Previous and related work
  • Example objectives
  • Minimize network-wide packet delay (e.g. number
    of hops).
  • Maximize throughput (e.g. number of lightpaths).
  • Maximize allowable capacity upgrade or
    scalability (for future traffic demands).
  • Minimizing cost (network resources used) can also
    be an important objective.
  • For a bandwidth broker (or carrier) maximizing
    profits is most important.
  • Vishal Anand

6
The Maximum Profitability Problem
  • Given
  • a set of connection requests, N.
  • a network topology.
  • earnings (revenue) Ei associated with each
    connection request, i.
  • cost of using any wavelength on a link l, Cl.
  • Solve the RWA problem to maximize the profit, P
    Total Earnings - Total Costs.
  • Vishal Anand

7
  • Maximizing profit problem is a more general
    formulation.
  • If EiE, for each connection/lightpath i (i.e.,
    all connections have equal earnings) OR if nN
    (i.e., all the connection requests have to be
    satisfied) then the problem is same as the
    minimizing cost problem.
  • If EiE and if all connections/lightpaths have
    equal costs. Then the problem is the same as
    maximizing throughput problem.
  • Hence a more direct study of the maximizing
    profit problem is necessary.
  • Vishal Anand

8
Network Model
  • Network topology considered 16 node NSFNET.
  • Cost of using each wavelength on a link , is the
    same, but varies from link to link.
  • No wavelength conversion capabilities at any of
    the nodes.
  • Number of wavelengths on each link in the network
    is the same.
  • Vishal Anand

9
Heuristic based approach
  • The RWA problem is known to be NP Hard and hence
    computationally intractable.
  • Maximizing profit heuristic MaxPro
  • Find a cheapest path for each connection request
    and compute the profit.
  • Sort the requests in the order of decreasing
    profit and store in a list.
  • Satisfy connection requests in decreasing order
    of profit (a greedy approach).
  • If a connection request is satisfied.
  • delete that connection from the sorted list.
  • Vishal Anand

10
  • If the cheapest path for a connection request is
    not available.
  • Re-compute a new cheapest path for only that
    connection request.
  • Compute the new profit for this connection
    request.
  • Insert this connection into the sorted list
    depending on the profit.
  • Repeat till no other connection request can be
    satisfied.

Vishal Anand
11
Results and Comparison
  • 1) Results obtained from MaxPro compared
    with
  • a minimizing cost heuristic
  • a random assignment heuristic
  • 2) Results of Maxpro compared with the optimal
    results from integer linear program.

Vishal Anand
12
Comparison of the heuristics
  • MaxPro performs the best.
  • Better than a minimizing cost heuristic.

Vishal Anand
13
Integer Linear Model
  • Definitions
  • W Number of wavelengths on each link.
  • n, L Number of nodes, links in the network.
  • Earnings obtained by satisfying a
    connection request between nodes ? and ?.
  • Total number of alternate routes/paths
    available to reach node ? from node ?.
  • Cost of reaching node ? from node ? on
    route r.
  • 1, if link j is used by the route r
    between nodes ? and ?, 0 otherwise.
  • Number of connection requests between
    nodes ? and ?.
  • 1, indicates that the connection
    between node ? and ? is routed on route r using
    wavelength k.

Vishal Anand
14
  • Objective function
  • Subject to
  • The total number of lightpaths established
    between a node pair should not exceed the number
    of requests between that node pair.

Vishal Anand
15
  • And
  • The total number of lightpaths established on any
    link should not exceed the number of wavelength
    on that link.
  • A wavelength on a link can support at most one
    lightpath.
  • The Integrality constraint.

Vishal Anand
16
Comparison of Maxpro with ILP
  • MaxPro obtains on the average 90 of the results
    got from the ILP(optimal profit).

Vishal Anand
17
Summary and Future work
  • Formulated a RWA problem with the objective of
    maximizing the profit.
  • Proposed a maximizing profit heuristic.
  • Compared results of a profit maximizing heuristic
    with a minimizing cost heuristic and ILP.
  • Future work
  • Study the maximizing profit problem for the
    On-line traffic model.
  • Extend to cases where protection and restoration
    is required for the traffic.
  • Vishal Anand
Write a Comment
User Comments (0)
About PowerShow.com