Title
Modeling and simulation of self-similar storage I/O
Abstract
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
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 Liu18823.03
Bo Jiang210.38
Zixiang Zhao3155.50
Yunhan Jiang410.38