Modeling and performance evaluation of hybrid storage I/O in Data Grid

被引：1
|
作者：
Liu, Zhaobin [1 ]
Li, Haitao [2 ]
机构：
[1] Dalian Maritime Univ, Sch Comp Sci & Technol, Dalian 116026, Liaoning, Peoples R China
[2] Chinese Acad Surveying & Mapping, Inst Photogrammetry & Remote Sensing, Beijing 100039, Peoples R China
来源：
2007 IFIP INTERNATIONAL CONFERENCE ON NETWORK AND PARALLEL COMPUTING WORKSHOPS, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/NPC.2007.93
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Storage I/O has become a performance bottleneck for many Data Grid applications. Characterization of I/O patterns has shown that many of these applications have complex, irregular I/O patterns. In this paper we show how Stochastic Petri Net (SPN) models can be exploited for performance analysis of hybrid I/O Data Grid storage systems. We study a typical storage system SPN modeling and simplify model complexities based on aggregate I/O. Evaluation using case studies shows that we can adjust the priority schedule by changing the ratio of file I/O and multimedia I/O.
引用
收藏
页码：624 / +
页数：3
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