An Efficient Network Information Model Using NWS for Grid Computing Environments

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.

• Type: Conference
• Year: 2005
• Where: GCC
• Authors: Chao-Tung Yang, Po-Chi Shih, Sung-Yi Chen, Wen-Chung Shih
• Keywords: GCC 2005, Measurement Model, Network Information Gathering, Network-related Information