ЭНЕРГОЭФФЕКТИВНЫЙ АЛГОРИТМ ОБРАБОТКИ ЗАДАЧ В РАСПРЕДЕЛЕННЫХ СИСТЕМАХ
Анотація
Energy efficient task processing algorithm in distributed systems
We consider the results of experiments and simulations on the study of the energy efficiency of task distribution algorithms in distributed systems. A new algorithm for distribution of tasks aimed at optimizing energy consumption is proposed.
Посилання
P. Brucker Scheduling Algorithms, Springer Ferlag 1998, pp 217-218.
L. Hluchy, V.D. Tran, D. Froehlich, and W. Castaings, Methods and Experiences of Parallelizing Flood Models, The 10th EuroPVM/MPI conference. LNCS 2840. Sept. 2003, Venice. pp. 677-681.
B.S. Baker, D.J. Brown and H.P. Katseff, A 5/4 algorithm for two-dimensional packing, J. of Algorithms, 1981, v. 2, pp. 348-368.
K. Jansen, Scheduling malleable parallel tasks: an asymptotic fully polynomial-time approximation scheme, Proc. European Symposium on Algorithms, ESA, 2002.
S. Orlando, P. Palmerini, R. Perego, F. Silvestri, Scheduling high performance data mining tasks on a data Grid environment, Euro-Par 2002, LNCS 2400, Springer-Ferlag Berlin Heidelberg 2002, pp. 375-384.
I. Foster, C. Kesselman, S. Tuecke, Intl J. Supercomputer Applications, 2001.
Dinda, P. and O'Hallaron, D., An Evaluation of Linear Models for Host Load Prediction. In Proc. 8th IEEE Symposium on High-Performance Distributed Computing, 1999, IEEE Press.
Berman, F., Wolski, R., Figueira, S., Schopf, J. and Shao, G. Application-Level Scheduling on Distributed Heterogeneous Networks. In Proc. Supercomputing '96, 1996.
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Авторське право (c) 2017 Роман Анатолійович Косовненко, Олександр Володимирович Степурін
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