Abstract
The task scheduling problem is normally an NP-hard problem. A chemical reaction optimization (CRO) is a new meta-heuristic optimization method, which has demonstrated its capability in solving NP-hard optimization problems. In this paper, a novel CRO algorithm for task scheduling (NCROTS) is proposed on heterogeneous computing systems. Over the real-world problems with various characteristics and randomly generated graphs, the simulation results show that the proposed NCROTS algorithm significantly improves the schedule quality (makespan), compared with two existing solutions (GA and HEFT).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Blum, L., Shub, M., Smale, S.: On a theory of computation over the real numbers; np completeness, recursive functions and universal machines. In: 29th Annual Symposium on Foundations of Computer Science, pp. 387–397 (1988)
Garey, M.R., Johnson, D.S.: Computers and intractability: a guide to the theory of NP-Completeness. W.H. Freeman, New York (1979)
Kwok, Y.K., Ahmad, I.: Dynamic critical-path scheduling: an effective technique for allocating task graphs to multiprocessors. IEEE Transactions on Parallel and Distributed Systems 7, 506–521 (1996)
Sih, G., Lee, E.: Dynamic-level scheduling for heterogeneous processor networks. In: Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, pp. 42–49 (1990)
Wu, M.-Y., Gajski, D.D.: Hypertool: a programming aid for message-passing systems. IEEE Transactions on Parallel and Distributed Systems 1, 330–343 (1990)
El-Rewini, H., Lewis, T.G.: Scheduling parallel program tasks onto arbitrary target machines. Journal of Parallel and Distributed Computing 9, 138–153 (1990)
Topcuoglu, H., Hariri, S., Wu, M.Y.: Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Transactions on Parallel and Distributed Systems 13, 260–274 (2002)
Ahmad, I., Kwok, Y.K.: A new approach to scheduling parallel programs using task duplication. In: International Conference on Parallel Processing, ICPP 1994, Volume 2, vol. 1, pp. 47–51 (1994)
Chung, Y.C., Ranka, S.: Applications and performance analysis of a compile-time optimization approach for list scheduling algorithms on distributed memory multiprocessors. In: Proceedings of the Supercomputing 1992, pp. 512–521 (1992)
Kruatrachue, B., Lewis, T.: Grain size determination for parallel processing. IEEE Software 5, 23–32 (1988)
Park, G.L., Shirazi, B., Marquis, J.: Dfrn: a new approach for duplication based scheduling for distributed memory multiprocessor systems. In: 11th International Proceedings of the Parallel Processing Symposium, pp. 157–166 (1997)
Yang, T., Gerasoulis, A.: Dsc: scheduling parallel tasks on an unbounded number of processors. IEEE Transactions on Parallel and Distributed Systems 5, 951–967 (1994)
Hou, E., Ansari, N., Ren, H.: A genetic algorithm for multiprocessor scheduling. IEEE Transactions on Parallel and Distributed Systems 5, 113–120 (1994)
Ferrandi, F., Lanzi, P., Pilato, C., Sciuto, D., Tumeo, A.: Ant colony heuristic for mapping and scheduling tasks and communications on heterogeneous embedded systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 29, 911–924 (2010)
Li, H., Wang, L., Liu, J.: Task scheduling of computational grid based on particle swarm algorithm. In: 2010 Third International Joint Conference on Computational Science and Optimization (CSO), vol. 2, pp. 332–336 (2010)
Wang, J., Duan, Q., Jiang, Y., Zhu, X.: A new algorithm for grid independent task schedule: Genetic simulated annealing. In: World Automation Congress (WAC), pp. 165–171 (2010)
Lam, A., Li, V.: Chemical-reaction-inspired metaheuristic for optimization. IEEE Transactions on Evolutionary Computation 14, 381–399 (2010)
Xu, J., Lam, A., Li, V.: Chemical reaction optimization for task scheduling in grid computing. IEEE Transactions on Parallel and Distributed Systems 22, 1624–1631 (2011)
Alatas, B.: ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization. Expert Systems with Applications 38(10), 13170–13180 (2011)
Alatas, B.: A novel chemistry based metaheuristic optimization method for mining of classification rules. Expert Systems with Applications 39(12), 11080–11088 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pan, G., Li, K., Xu, Y., Li, K. (2014). A Novel Task Scheduling Scheme in Heterogeneous Computing Systems Using Chemical Reaction Optimization. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_54
Download citation
DOI: https://doi.org/10.1007/978-3-662-45049-9_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
eBook Packages: Computer ScienceComputer Science (R0)