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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yanfeng Zheng Simin He Shutao Sun Wen Gao |
| Copyright Year | 2005 |
| Description | Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China (Yanfeng Zheng; Simin He) |
| Abstract | Input-queued (IQ) switch architectures have become predominant in high-speed switching for the past decade. Maximum weight matching (MWM) algorithms are known to achieve 100% throughput under any admissible traffic. Unfortunately, MWM is impractical for its high computational complexity O(N/sup 3/). In this paper, we study a new type of approximate algorithm to MWM using local search technique. Instead of using randomized technique which is mainly used by the existing approximations, our algorithm runs in a deterministic way which is easy to be implemented by hardware. It provides 100% throughput under any admissible traffic and simulation results show that the proposed algorithm with only 3 iterations outperforms the existing approximations to MWM. |
| Starting Page | 315 |
| Ending Page | 318 |
| File Size | 831349 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395387 |
| DOI | 10.1109/ISCIT.2005.1566858 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Switches Computer architecture Traffic control Throughput Hardware Bipartite graph Helium Computational complexity Scheduling algorithm Delay |
| Content Type | Text |
| Resource Type | Article |
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