Abstract
Grid computing architecture was defined to be a complete physical layer. The functions of information systems based on grid architecture are resources sharing, collaborative processing, etc. Resources are used by processes. System performance is calculated from resources usages. Process scheduling is more important when jobs are not uniformly distributed in all grid nodes. In this paper, we proposed a process schedule analyzing model based on grid computing architecture. This model can make all grid nodes be loading-balance. When the load of the node is heavy, it can select the other grid nodes to execute its job by the verification of supervisor grid node and then the job is transferred. Via implementing this model, we can have the best system performance.
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Lee, HM., Lee, TY., Hsu, MH. (2006). A Process Schedule Analyzing Model Based on Grid Environment. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_119
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DOI: https://doi.org/10.1007/11893011_119
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
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