Abstract
With the gradually extending of problem application scale, science and engineering computing becomes more and more complicated. Designing a collaborative problem solving environment aiming at specific fields is becoming more and more important. In order to integrate various heterogeneous resources and provide a flexible problem solving environment, we proposed a novel grid approach: SECGrid (Science and Engineering Computing Grid). SECGrid provides a dynamic grid application deploy environment. A grid portal is also adopted to present grid application from diverse sources in a unified way. We proposed a new scheduling algorithm (Application Demand Aware Algorithm) to make job scheduling more feasible. Moreover, SECGrid provides a lot of useful facilities, such as grid accounting, grid monitoring, etc. In the practical application, SECGrid encapsulates lots of computing modules from science and engineering, and provides an easy way for collaborative problem solving.
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Chen, X., Gong, B., Liu, H., Hu, Y. (2007). SECGrid: Science and Engineering Computing Based Collaborative Problem Solving Environment. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_28
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DOI: https://doi.org/10.1007/978-3-540-74780-2_28
Publisher Name: Springer, Berlin, Heidelberg
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