Performance evaluation of a grid computing architecture using realtime network monitoring

Young Sik Jeong; Cheng Zhong Xu

doi:10.1007/978-3-540-30566-8_46

Performance evaluation of a grid computing architecture using realtime network monitoring

Young Sik Jeong
, Cheng Zhong Xu

Department of Computer Science and Artificial Intelligence

Wayne State University

Research output: Contribution to journal › Review article › peer-review

Abstract

This paper integrates the concepts of realtime network monitoring and visualizations into a grid computing architecture on the Internet. We develop a Realtime Network Monitor(RNM) that performs realtime network monitoring in order to improve the performance of the grid computing framework. Through network monitoring, it is also found out that the network traffic has effects on the performance of processing for large scale applications.

Original language	English
Pages (from-to)	382-386
Number of pages	5
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3358
DOIs	https://doi.org/10.1007/978-3-540-30566-8_46
State	Published - 2004

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10.1007/978-3-540-30566-8_46

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title = "Performance evaluation of a grid computing architecture using realtime network monitoring",

abstract = "This paper integrates the concepts of realtime network monitoring and visualizations into a grid computing architecture on the Internet. We develop a Realtime Network Monitor(RNM) that performs realtime network monitoring in order to improve the performance of the grid computing framework. Through network monitoring, it is also found out that the network traffic has effects on the performance of processing for large scale applications.",

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AB - This paper integrates the concepts of realtime network monitoring and visualizations into a grid computing architecture on the Internet. We develop a Realtime Network Monitor(RNM) that performs realtime network monitoring in order to improve the performance of the grid computing framework. Through network monitoring, it is also found out that the network traffic has effects on the performance of processing for large scale applications.

UR - https://www.scopus.com/pages/publications/35048868818

U2 - 10.1007/978-3-540-30566-8_46

DO - 10.1007/978-3-540-30566-8_46

M3 - Review article

AN - SCOPUS:35048868818

SN - 0302-9743

VL - 3358

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Performance evaluation of a grid computing architecture using realtime network monitoring

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