1 / 9

Routing and Shortest Path Algorithms Neil Tang 2/18/2009

Routing and Shortest Path Algorithms Neil Tang 2/18/2009. Outline. Network Model Link and Path Costs Routing Problems Dijkstra’s Shortest Path Algorithm Constrained Shortest Path Algorithms. Network Model.

agatha
Download Presentation

Routing and Shortest Path Algorithms Neil Tang 2/18/2009

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Routing and Shortest Path AlgorithmsNeil Tang2/18/2009 CS541 Advanced Networking

  2. Outline • Network Model • Link and Path Costs • Routing Problems • Dijkstra’s Shortest Path Algorithm • Constrained Shortest Path Algorithms CS541 Advanced Networking

  3. Network Model • A network is usually modeled as a graph such that the networking problems, such as routing and scheduling, can be transformed to the corresponding problems in a graph and solved by algorithms in graph theory. • A vertex in the graph represents a router. • In a wired network, there is an edge (A,B) between a pair of vertices A and B if there is a physical link in between. • Disk graph: In a wireless network, there is an edge (A,B) between a pair of vertices A and B if their Euclidean distance is no more than the transmission range of node A. CS541 Advanced Networking

  4. Link and Path Cost • There is usually one or multiple cost parameters associated with each link, which indicate its transmission cost, bandwidth, delay and so on. • Some of parameters are bottleneck parameters (e.g. bandwidth), i.e., the cost of the path in terms of this parameter depends on the minimum link cost along the path. • Some of parameters are additive parameters (e.g. delay), i.e., the cost of the path in terms of this parameter is equal to the summation of the costs of all links along the path. CS541 Advanced Networking

  5. Routing Problems • Basic routing problem: Givena source and a destination, the basic routing problem seeks a source-destination route such that it has the minimum cost among all possible source-destination routes. • QoS routing problem: Givena source and destination along with one or multiple QoS constrains (e.g, bandwidth, delay), a QoS routing problem seeks a source-destination route such that it has the minimum cost among all source-destination routes which can satisfy all QoS constraints. CS541 Advanced Networking

  6. B D 1 1 1 1 1 1 8 8 8 8 13 9 14 9   10  10 10 10 10 10 10 3 3 3 3 9 9 9 9 3 3 9 9 0 0 0 0 6 6 6 6 A 0 0 6 6 5 5 5 5 5 5 5 5 5 5 7 7 7 7   5  2 2 2 2 2 2 C E Dijkstra’s Shortest Path Algorithm Time complexity: |E|+|V|log|V| CS541 Advanced Networking

  7. Typical QoS Routing Problems • Find a minimum cost path subject to a bottleneck (e.g., bandwidth) constraint. • Find a minimum cost path subject to an additive (e.g. delay) constraint. This problem is NP-hard. CS541 Advanced Networking

  8. Constrained Shortest Path Algorithms Find a shortest path subject to a bottleneck (e.g., bandwidth) constraint: ρ= (A,D), Threshold=3 (4,4) D B (2,4) (3,4) (5,2) A (3,2) C CS541 Advanced Networking

  9. Constrained Shortest Path Algorithms Find a shortest path subject to an additive (e.g., delay) constraint: ρ= (A,D), Threshold=4 B0 D0 2 4 4 5 3 0 B1 D1 5 A0 C0 5 3 0 3 2 B2 D2 A1 C1 5 5 (4,4) B D 3 0 (2,4) B3 D3 (3,4) 3 A2 C2 (5,2) A 5 3 0 (3,2) 3 C B4 D4 A3 C3 3 A4 C4 CS541 Advanced Networking

More Related