Abstract
Computational grids have become attractive and promising platforms for solving large-scale high-performance applications of multi-institutional interest. However, the management of resources and computational tasks is a critical and complex undertaking as they are geographically distributed, heterogeneous in nature, owned by different individuals or organizations with their own policies, different access, and dynamically varying loads and availability. In this paper, we propose an integrated management and scheduling scheme for computational grid. It solves some pivotal and important questions such as resources heterogeneous and information dynamic. It affords transparent support for high-level software and grid applications, enhancing the performance, expansibility and usability of computers, and providing incorporate environment and information service. This scheme has universality for computational grid and makes every grid resource work efficiently.
This paper is supported by National Science Foundation under grant 60125208 and 60273076.
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Zheng, R., Jin, H. (2004). An Integrated Management and Scheduling Scheme for Computational Grid. In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_7
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DOI: https://doi.org/10.1007/978-3-540-24680-0_7
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