Abstract
In the domain of scientific computation, there exist a large number of legacy applications that are too valuable to give up and too complex to rewrite. Enabling them on the computational grid plays an important role for realizing the Grid potential. This paper presents a component-based approach for managing and accessing legacy applications on the computational grid. It encapsulates a collection of complementary and competitive legacies to be an independent entity, which automatically schedules these distributed legacies with domain expertise to perform computation. Computing jobs are specified in domain terms and dynamically mapped to appropriate resources. Transparently, competitive legacies are utilized to improve load balance and reliability, and complementary legacies are scheduled to meet the requirements of jobs with different characteristics. To evaluate this approach, a prototype has been implemented, and preliminary experiment results are also presented.
This work was supported by National Natural Science Foundation of China (No. 60303001, No.60173004).
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© 2004 Springer-Verlag Berlin Heidelberg
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Yu, H., Xu, Z., Ding, W. (2004). Scheduling Legacy Applications with Domain Expertise for Autonomic Computing. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_81
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DOI: https://doi.org/10.1007/978-3-540-30208-7_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23564-4
Online ISBN: 978-3-540-30208-7
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