Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu
REFERENCES
1. I. Ahmad, ed., Special issue on resource management in parallel and distributed systems with dynamic scheduling: dynamic scheduling, Concurrency: Practice and Experience, 7(7), 1995.
2. I. Ahmad and Y. Kwok, A parallel approach for multiprocessor scheduling. In Proceedings. of Ninth International Parallel Processing Symposium, IEEE Press, Santa Barbara, CA, 1995.
3. D. Andre, E H. Bennet III, and J. R. Koza, Discovery by genetic programming of a cellular automata rule that is better than any known rule for the majority classification problem. In J. K. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, eds., Genetic Programming, Proceedings of First Annual Conference 1996, pp. 3–11, MIT Press, Cambridge, MA, 1996.
4. J.
, M. Dror, and J.
, Scheduling in Computer and Manufacturing, Springer-Verlag, New York, 1991.
5. M. Capcarrère, A. Tettamanzi, M. Tomassini, and M. Sipper, Studying parallel evolutionary algorithms: The cellular programming case. In A. E. Eiben, T. Back, M. Schoenauer, and H.-P. Schwefel, eds., Parallel Problem Solving from Nature—PPSN V, pp. 573–582, LNCS 1498, Springer-Verlag, New York, 1998.
6. H. W. D. Chang and W. J. B. Oldham, Dynamic task allocation models for large distributed computing systems. IEEE Trans. Parallel and Distributed Sys. 6(2), ...
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