Abstract | ||
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Storage I/O has become a performance bottleneck for large-scale computation and storage systems. Characterization of I/O network traffic has been the observed self-similarity nowadays. In this paper, basing on the reviews of the origins of this self-similarity, we study how Stochastic Petri Net (SPN) models can be exploited for self-similar I/O behaviors of virtual storage systems. We then present the SPN models and simplifying processes of file I/O and multimedia I/O for origination node, destination node and communication link. Finally, we propose the self-similarity simulation methodologies. Analysis results show that without self-similar I/O scenario outperforms self-similar I/O scenario both for file I/O and multimedia I/O, and show how the ratio of multimedia/file I/O and the queue capability can affect the observed storage I/O self-similarity. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-68083-3_26 | GPC |
Keywords | Field | DocType |
self-similar storage,o self-similarity,o behavior,storage system,o network traffic,self-similarity simulation methodology,o scenario,observed self-similarity,spn model,observed storage,virtual storage system,stochastic petri net,modeling and simulation | Communication link,Bottleneck,Computer science,Modeling and simulation,Queue,Computer network,Stochastic Petri net,Input/output,Virtual storage,Distributed computing,Computation | Conference |
Volume | ISSN | ISBN |
5036 | 0302-9743 | 3-540-68081-0 |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhaobin Liu | 1 | 88 | 23.03 |
Bo Jiang | 2 | 1 | 0.38 |
Zixiang Zhao | 3 | 15 | 5.50 |
Yunhan Jiang | 4 | 1 | 0.38 |