Abstract
Grid computing technique is more and more popular. In general, Ganglia and NWS are applied to monitor Grid nodes’ status and network-related information, respectively. Comprehensive monitoring and effective management are criterions to archive higher performance of grid computation. Unfortunately, owing to diverse user requirements, information provided by Ganglia and NWS services is not sufficient in real cases, especially for application developers. In addition, NWS services that deployed based on “Domain-based Network Information Model” could greatly reduce overheads caused by unnecessary measurements. This study proposes a heuristic QoS measurement architecture, which constructed with a domain-base model, to provide effective information to meet user requirements, especially for application developers.
This work is supported in part by National Science Council, Taiwan R.O.C., under grants no. NSC 96-2221-E-029-019-MY3 and NSC 98-2622-E-029-001-CC2.
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Yang, CT., Lin, CH., Hu, WJ. (2010). Implementation of a Heuristic Network Bandwidth Measurement for Grid Computing Environments. In: Hsu, CH., Yang, L.T., Park, J.H., Yeo, SS. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2010. Lecture Notes in Computer Science, vol 6082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13136-3_12
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DOI: https://doi.org/10.1007/978-3-642-13136-3_12
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