An efficient network information model using NWS for grid computing environments

Authors:
Chao-Tung Yang;Po-Chi Shih;Sung-Yi Chen;Wen-Chung Shih
Affiliations:
High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan, R.O.C.;High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan, R.O.C.;High-Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan, R.O.C.;Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.
Venue:
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Year:
2005

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Abstract

Grid computing technologies enable large-scale aggregation and sharing of resources via wide-area networks focused on sharing computational, data, and other resources to form general-purpose services for users. In this paper, we address network information gathering and focus on providing approximate measurement models for network-related information using Network Weather Service (NWS) for future scheduling and benchmarking. We propose a network measurement model for gathering network-related information including bandwidth, latency, forecasting, error rates, etc., without generating excessive system overhead. We consider inaccuracies in real-world network values in generating approximation values for future use.