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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Optimizing I/O Server Placement for Parallel I/O on Switch-Based Irregular Networks
verfasst von : Yih-Fang Lin, Chien-Min Wang, Jan-Jan Wu
Erschienen in: Parallel and Distributed Processing and Applications
Verlag: Springer Berlin Heidelberg
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In this paper, we study I/O server placement for optimizing parallel I/O performance on switch-based clusters, which typically adopt irregular network topologies to allow construction of scalable systems with incremental expansion capability. Finding optimal solution to this problem is computationally intractable. We quantified the number of messages travelling through each network link by a
workload function
, and developed three heuristic algorithms to find good solutions based on the values of the workload function. Our simulation results demonstrate performance advantage of our algorithms over a number of algorithms commonly used in existing parallel systems. In particular, the load-balance-based algorithm is superior to the other algorithms in most cases, with improvement ratio of 10% to 95% in terms of parallel I/O throughput.