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Randomized Parallel Scheduling Algorithm for Input Queued Crossbar Switches

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2 Author(s)
Yanfeng Zheng ; Institute of Computing Technology, Chinese Academy of Sciences ; Wen Gao

A significant research effort has been devoted in recent years to the design of simple and efficient scheduling algorithms for input-queued packet switches. Among these algorithms, scheduling policies based on maximum weight matching (MWM) were proved to achieve 100% throughput under any admissible traffic load. However, MWM is impractical for its high computational complexity O(N3). In this paper, we propose a new approximate algorithm to MWM using local search technique. Notably we observe that: (a) Local search is well suitable for parallel computation, (b) Currently each line card of high performance router has at least one processor. Based on the two important observations, a randomized parallel scheduling algorithm is proposed. It is proved to be rate stable and simulation results show that the proposed algorithm outperforms other randomized approximations to MWM

Published in:

The Fifth International Conference on Computer and Information Technology (CIT'05)

Date of Conference:

21-23 Sept. 2005