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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yanqing Gao Hua Wang Runshui Zhu Shanwen Yi Chuangen Gao Fuqiang Huang |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China (Yanqing Gao; Hua Wang; Runshui Zhu; Shanwen Yi; Chuangen Gao; Fuqiang Huang) |
| Abstract | Energy saving in the ICT equipments has been an urgent problem recently. Although the average utilization of network is less than 40% most of the time, its energy consumption is almost the same as peak-hour's. In order to minimize energy consumption and improve resource utilization, we aggregate traffic into a network subset and turn off the remaining network elements. The problem is the classical capacitated multi-commodity flow problem (CMCF), which is proved to be NP-complete. In this paper, we propose a new CloneAnt-based Ant Colony Optimization Routing Algorithm (CACO-RA), and improve the classic CMCF model by aggregating traffic demands. Our algorithm transmits each demand pair through multiple paths, and aggregates flows which includes the same destination, then we get a network subset with the minimal consumption. Simulation results show that our algorithm has better performance in power consumption, computation time and reject rate. |
| Starting Page | 521 |
| Ending Page | 526 |
| File Size | 275157 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479989379 |
| DOI | 10.1109/HPCC-CSS-ICESS.2015.21 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Ant colony optimization Power demand Network topology ant colony optimization Cloning split-flow Bandwidth Routing energy savings green networks |
| Content Type | Text |
| Resource Type | Article |
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