Performance Prediction in Grid Network Environments Based on NetSolve

Ningyu Chen (), Wu Zhang () and Yuanbao Li ()
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Ningyu Chen: Shanghai University, School of Computer Engineering and Science
Wu Zhang: Shanghai University, School of Computer Engineering and Science
Yuanbao Li: Shanghai University, School of Computer Engineering and Science

A chapter in Current Trends in High Performance Computing and Its Applications, 2005, pp 251-255 from Springer

Abstract: Abstract The remarkable growth of computer network technology has spurred a variety of resources accessible through Internet. The important feature of these resources is location transparency and obtainable easily. NetSolve is a project that investigates the use of distributed computational resources connected by computer networks to efficiently solve complex scientific problems. However, the fastest supercomputers today are not powerful enough to solve many very complex problems with NetSolve. The emergence of innovative resource environments like Grids satisfies this need for computational power. In this paper, we focus on two types of Grid: Internet-connected collection of supercomputer and megacomputer, and explore the performance in these grid network environments.

Keywords: performance prediction; NetSolve; Grid network environments (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27912-9_27

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DOI: 10.1007/3-540-27912-1_27

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