Impact of Voltage Levels Number for Energy-Aware Bi-objective DAG Scheduling for Multi-Processors Systems

Communications in Computer and Information Science

Volumn 344, Issue , 2012, Pages 70-80

  Guzek, Mateusz ^a   Diaz, Cesar O ^a   Pecero, Johnatan E ^a   Bouvry, Pascal ^a   Zomaya, Albert Y ^b  

^a UNIVERSITY OF LUXEMBOURG   (Luxembourg)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECTED A-CYCLIC TASK GRAPHS; DYNAMIC VOLTAGE FREQUENCY SCALING; GAUSSIAN ELIMINATION; LAPLACE TRANSFORMATIONS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-PROCESSOR PLATFORMS; RESOLUTION METHODS; TWO-LEVEL APPROACH;

EMBEDDED SYSTEMS; ENERGY UTILIZATION; LAPLACE TRANSFORMS; MULTIPROCESSING SYSTEMS; SCHEDULING; SCHEDULING ALGORITHMS;

INFORMATION TECHNOLOGY;

EID: 84882278646     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-35076-4_7     Document Type: Conference Paper

References (16)

1. DatacenterDynamics: Datacenterdynamics research report. Consulted online(2012), http://www.datacenterdynamics.com/research
2. Benini, L., Bogliolo, A., De Micheli, G.: Readings in hardware/software co-design, pp. 231-248. Kluwer Academic Publishers, Norwell (2002)
3. Herbert, S., Marculescu, D.: Variation-aware dynamic voltage/frequency scaling. In: IEEE 15th International Symposium on High Performance Computer Archi-tecture, HPCA 2009, pp. 301-312 (February 2009)
4. Lee, Y.C., Zomaya, A.Y.: Energy conscious scheduling for distributed computing systems under different operating conditions. IEEE T. Parall. Distr. 22(8), 1374-1381 (2011)
5. Pruhs, K., van Stee, R., Uthaisombut, P.: Speed scaling of tasks with precedence constraints. Theor. Comp. Sys. 43, 67-80 (2008)
6. Mezmaz, M., Melab, N., Kessaci, Y., Lee, Y.C., Talbi, E.G., Zomaya, A.Y., Tuyt-tens, D.: A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. J. Parallel Distr. Com. 71, 1497-1508 (2011)
7. Pecero, J.E., Bouvry, P., Huacuja, H.J.F., Khan, S.U.: A multi-objective grasp algorithm for joint optimization of energy consumption and schedule length of precedence-constrained applications. In: IEEE DASC, pp. 510-517 (2011)
8. Rizvandi, N.B., Taheri, J., Zomaya, A.Y.: Some observations on optimal fre-quency selection in dvfs-based energy consumption minimization. J. Parallel Distr. Com. 71, 1154-1164 (2011)
9. Coello, C.A., Lamont, G.B., Veldhuizen, D.A.V.: Evolutionary Algorithms for Solv-ing Multi-Objective Problems (Genetic and Evolutionary Computation). Springer-Verlag New York, Inc., Secaucus (2006)
10. Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE T. Evolut. Comput. 6(2), 182-197 (2002)
11. Sinnen, O.: Task Scheduling for Parallel Systems. John Wiley & Sons, Hoboken (2007)
12. Guzek, M., Pecero, J.E., Dorronsoro, B., Bouvry, P., Khan, S.U.: A cellular genetic algorithm for scheduling applications and energy-aware communication optimiza-tion. In: HPCS 2010, Caen, France, pp. 241-248 (2010)
13. Knowles, J., Thiele, L., Zitzler, E.: A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers. TIK Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich (February 2006)
14. Van Veldhuizen, D.A.: Multiobjective evolutionary algorithms: classifications, anal-yses, and new innovations. PhD thesis, Wright Patterson AFB, OH, USA (1999); Adviser-Lamont, Gary B
15. Nebro, A.J., Luna, F., Alba, E., Dorronsoro, B., Durillo, J.J., Beham, A.: Abyss: Adapting scatter search to multiobjective optimization. IEEE T. Evolut. Com-put. 12(4), 439-457 (2008)
16. Durillo, J., Nebro, A., Alba, E.: The jMetal framework for multi-objective opti-mization: Design and architecture. In: CEC 2010, Barcelona, Spain, pp. 4138-4325 (July 2010)