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ServiceBSP Model with QoS Considerations in Grids

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

Abstract

Grid computing is the cutting-edge computing technology which is promising to aggregate large-scale and geographically-distributed computing resources for next generation of computing. Though the Grid computing is popular in today’s IT infrastructure, the concrete service-oriented Grid environment (system) is difficult to develop. Quality of Grid Services (QoGS) shields the heterogeneity of available resources. Such a QoGS requires interoperability between Grid resources and a consistent developer’s interface, which must be specified by feasible and applicable virtual organizations (VO). In addition, an economic model of Grid community may also be considered. With the consideration of the behaviors and characteristics of such desirable Grid systems, an architecture and model of service-based BSP or ServiceBSP (service-based Bulk-Synchronous Parallelism) is proposed, at the aim at establishing a high interoperation and high quality cooperation between each Grid service, while developing an efficient mechanism to evaluate the performances of Grid applications.

This work is supported in part by National Natural Science Foundation of China under grant number 60573109, Shanghai Municipal Committee of Science and Technology under grant number 05dz15005, Shanghai High Institution Grid Project and Zhejiang Normal University Foundation.

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© 2006 Springer-Verlag Berlin Heidelberg

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Song, J., Tong, W., Zhi, X. (2006). ServiceBSP Model with QoS Considerations in Grids. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_113

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  • DOI: https://doi.org/10.1007/11610496_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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