Abstract
This paper presents a methodology to evaluate the performance of load allocating algorithms using queuing network facilities. First, we develop a generic model of load sharing systems. Then, a specific model is derived from the generic model that simulates a real load sharing system. This phase consists of successive manipulations of algorithms parameters until reaching satisfied approximations. Once the suitable parameters have been tuned, which configure the specific model, it is easy to evaluate the performance of the load allocating algorithms for various applications and hardware configurations.
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Barak, A., La’adan, O.: The mosix multicomputer operating system for high perfromance cluster computing. Journal of Future Generation Computer Systems 13(4) (1999)
Sens, P., Folliot, B.: Gatostar: A fault tolerant load sharing facility for parallel applications. In: Proc. First European Dependable Computing Conf., pp. 581–598 (1994)
Singh, J.P., Rothberg, E., Gupta, A.: Modeling communication in parallel algorithms: A fruitful interaction between theory and systems? . In: Proceedings of the 6th annual ACM symposium on parallel algorithms and architectures (1994)
Wang, Y.T., Morris, J.T.: Load sharing in distributed systems. IEEE Transactions. on Computers c-34, 204–217 (1985)
Zhou, S., Zheng, X., Wang, J., Delisle, P.: Utopia: a load sharing facility for large, heterogeneous distributed computer systems. Software-practice and experience 23(12), 1305–1336 (1993)
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© 1999 Springer-Verlag Berlin Heidelberg
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Hajmahmoud, Y., Sens, P., Folliot, B. (1999). Performance Evaluation of a Load Sharing System on a Cluster of Workstations. In: Banerjee, P., Prasanna, V.K., Sinha, B.P. (eds) High Performance Computing – HiPC’99. HiPC 1999. Lecture Notes in Computer Science, vol 1745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46642-0_11
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DOI: https://doi.org/10.1007/978-3-540-46642-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66907-4
Online ISBN: 978-3-540-46642-0
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