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.
The authors would like to acknowledge the National Center for High-Performance Computing for sponsoring the Taiwan UniGrid project, under the national project “Taiwan Knowledge Innovation National Grid”. This work is supported in part by National Science Council Taiwan, under grants no. NSC93-2213-E-029-026, NSC94-2213-E-029-002, and NSC93-2119-M-002-004.
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Yang, CT., Shih, PC., Chen, SY., Shih, WC. (2005). An Efficient Network Information Model Using NWS for Grid Computing Environments. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_40
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DOI: https://doi.org/10.1007/11590354_40
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