Abstract
Large scale loosely coupled PCs can organize clusters and form desktop computing grids on sharing each processing power; power of PCs, transaction distributions and load balancing characterize the performance of the computing grids. This paper describes the design methodologies of workload management in distributed desktop computing grids. Based on the prototype experiment, several simulations were performed; several centralized and decentralized algorithms for location policy were examined, and the design methodologies for distributed desktop computing grids are derived from the simulation results. The methodologies for domains, language and control algorithms for computing grids are described. The language for distributed desktop computing is designed to accomplish the design methodologies.
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Yoshida, M., Kojima, K. (2010). Design Methodologies of Workload Management through Code Migration in Distributed Desktop Computing Grids. 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_10
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DOI: https://doi.org/10.1007/978-3-642-13136-3_10
Publisher Name: Springer, Berlin, Heidelberg
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