1 / 23

Network Topology Generator GT-ITM

Network Topology Generator GT-ITM. Speaker: 蔡勝軒. Outline. What is GT-ITM Where can I get GT-ITM How to use GT-ITM References. What is GT-ITM. Georgia Tech Internetwork Topology Models (GT-ITM) Network topology generator Used to create flat random graphs

tiger-carter
Download Presentation

Network Topology Generator GT-ITM

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. Network Topology GeneratorGT-ITM Speaker: 蔡勝軒

  2. Outline • What is GT-ITM • Where can I get GT-ITM • How to use GT-ITM • References

  3. What is GT-ITM • Georgia Tech Internetwork Topology Models (GT-ITM) • Network topology generator • Used to create flat random graphs • Create flat random graphs and two forms of hierarchical graphs (N-level and transit-stub)

  4. What is GT-ITM (cont.) Stub Transit a. Random b. Transit-Stub

  5. Outline • What is GT-ITM • Where can I get GT-ITM • How to use GT-ITM • References

  6. Where can I get GT-ITM

  7. Outline • What is GT-ITM • Where can I get GT-ITM • How to use GT-ITM • References

  8. How to use GT-ITM <method keyword> is one of: "geo": flat random graph "hier": N-level hierarchical graph "ts": transit-stub graph <number of graphs>: number of graphs of specified type to generate <initial seed>: initial random number seed

  9. How to use GT-ITM (cont.) • Method 1: (Waxman's RG2, with alpha,beta := beta,alpha) • p = alpha * exp(-e/L*beta) • Method 2: (Waxmans's RG1, with alpha,beta := beta, alpha) • p = alpha * exp(-d/L*beta) • Method 3: (Pure random graph) • p = alpha • Method 4: ("EXP" - another distance varying function) • p = alpha * exp(-d/(L-d)) • Method 5: (Doar-Leslie, with alpha,beta := beta,alpha, ke=gamma) • p = (gamma/n) * alpha * exp(-d/(L*beta)) • Method 6: (Locality with two regions) • p = alpha if d <= L*gamma, • p = beta if d > L*gamma

  10. 8 8 8 How to use GT-ITM (cont.) • Create a valid specification file=>ts100 8*3*4+4=100

  11. How to use GT-ITM (cont.)

  12. Outline • What is GT-ITM • Where can I get GT-ITM • How to use GT-ITM • References

  13. References • ~/gt-itm/docs • ~/gt-itm/sample-graphs • ~/gt-itm/src • http://www.isi.edu/nsnam/ns/ns-topogen.html

More Related