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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gurzi, Pasquale Steenhaut, Kris Rodriguez, Abdel Vrancx, Peter Nowé, Ann |
| Copyright Year | 2015 |
| Abstract | In today’s Internet, the commercial aspects of routing are gaining importance. Current technology allows Internet Service Providers (ISPs) to renegotiate contracts online to maximize profits. Changing link prices will influence interdomain routing policies that are now driven by monetary aspects as well as global resource and performance optimization. In this article, we consider an interdomain routing game in which the ISP’s action is to set the price for its transit links. Assuming a cheapest path routing scheme, the optimal action is the price setting that yields the highest utility (i.e., profit) and depends both on the network load and the actions of other ISPs. We adapt a continuous and a discrete action learning automaton (LA) to operate in this framework as a tool that can be used by ISP operators to learn optimal price setting. In our model, agents representing different ISPs learn only on the basis of local information and do not need any central coordination or sensitive information exchange. Simulation results show that a single ISP employing LAs is able to learn the optimal price in a stationary environment. By introducing a selective exploration rule, LAs are also able to operate in nonstationary environments. When two ISPs employ LAs, we show that they converge to stable and fair equilibrium strategies. |
| Starting Page | 1 |
| Ending Page | 26 |
| Page Count | 26 |
| File Format | |
| ISSN | 15564665 |
| e-ISSN | 15564703 |
| DOI | 10.1145/2719648 |
| Volume Number | 10 |
| Issue Number | 1 |
| Journal | ACM Transactions on Autonomous and Adaptive Systems (TAAS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-03-09 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Interdomain routing Learning automata Link pricing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Software |
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