Abstract
There exist a large number of computational resources in the domain of scientific and engineering computation. They are distributed, heterogeneous and often too restricted in computability for oneself to satisfy the requirement of modern scientific problems. To address this challenge, this paper proposes a component-based architecture for managing and accessing legacy applications on the computational grid. It automatically schedules legacies with domain expertise, and coordinates them to serve large-scale scientific computation. A prototype has been implemented to evaluate the architecture.
This work was supported by National Natural Science Foundation of China (No. 60303001, No.60173004)
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Yu, H., Xu, Z., Ding, W. (2004). Coordinating Distributed Resources for Complex Scientific Computation. In: Jin, H., Gao, G.R., Xu, Z., Chen, H. (eds) Network and Parallel Computing. NPC 2004. Lecture Notes in Computer Science, vol 3222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30141-7_19
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DOI: https://doi.org/10.1007/978-3-540-30141-7_19
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