The research on meta-job scheduling heuristics in heterogeneous environments

Xingbo, Jin; Ju, Wang; Dali, Wang; Chunsheng, Fang

doi:10.3233/JIFS-169408

The research on meta-job scheduling heuristics in heterogeneous environments

Journal Article · Tue Feb 27 00:00:00 EST 2018 · Journal of Intelligent & Fuzzy Systems

DOI:https://doi.org/10.3233/JIFS-169408· OSTI ID:1468073

Xingbo, Jin ^[1]; Ju, Wang ^[2]; ^[3]; Chunsheng, Fang ^[2]

Jilin University, Changchun (China). College of Computer Science and Technology; The People’s Liberation Army, Huludao (China)
Jilin University, Changchun (China). Department of Environmental Science and Key Laboratory of Groundwater Resources and Environment, Ministry of Education
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

As the core of rational utilization of computing resources, the scheduling algorithm has gained the interest of many researchers. Aimed at meta-job scheduling in heterogeneous environments, this paper puts forward three algorithms: the meta-job scheduling algorithm based on deviation (MaxD-min heuristic), the meta-job scheduling algorithm based on relative deviation (MaxRD-min heuristic), and the Cordwood algorithm (CA). The former two Algorithm are improvements of the classic Min-min algorithm. The latter CA algorithm is a new method that tries to place each building block on the tray with minimal amount of Sufferage. In conclusion, the result of experimenting shows that the three algorithms, in comparison to Min-Min and Max-Min algorithm, can effectively reduce the total span of scheduling (makespan).

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1468073

Journal Information:: Journal of Intelligent & Fuzzy Systems, Journal Name: Journal of Intelligent & Fuzzy Systems Journal Issue: 2 Vol. 34; ISSN 1064-1246

Publisher:: IOS PressCopyright Statement

Country of Publication:: United States

Language:: English

References (13)

A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems Braun, Tracy D.; Siegel, Howard Jay; Beck, Noah Journal of Parallel and Distributed Computing, Vol. 61, Issue 6 https://doi.org/10.1006/jpdc.2000.1714	journal	June 2001
QoS guided Min-Min heuristic for grid task scheduling He, XiaoShan; Sun, Xianhe; von Laszewski, Gregor Journal of Computer Science and Technology, Vol. 18, Issue 4 https://doi.org/10.1007/BF02948918	journal	July 2003
Cloud theory-based simulated annealing approach for scheduling in the two-stage assembly flowshop Torabzadeh, E.; Zandieh, M. Advances in Engineering Software, Vol. 41, Issue 10-11 https://doi.org/10.1016/j.advengsoft.2010.06.004	journal	October 2010
Job scheduling algorithm based on Berger model in cloud environment Xu, Baomin; Zhao, Chunyan; Hu, Enzhao Advances in Engineering Software, Vol. 42, Issue 7 https://doi.org/10.1016/j.advengsoft.2011.03.007	journal	July 2011
CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling Tao, Fei; Feng, Ying; Zhang, Lin Applied Soft Computing, Vol. 19 https://doi.org/10.1016/j.asoc.2014.01.036	journal	June 2014
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems Mezmaz, M.; Melab, N.; Kessaci, Y. Journal of Parallel and Distributed Computing, Vol. 71, Issue 11 https://doi.org/10.1016/j.jpdc.2011.04.007	journal	November 2011
Cost-based Multi-QoS Job Scheduling Using Divisible Load Theory in Cloud Computing Abdullah, Monir; Othman, Mohamed Procedia Computer Science, Vol. 18 https://doi.org/10.1016/j.procs.2013.05.258	journal	January 2013
Allocating modules to processors in a distributed system Fernandez-Baca, D. IEEE Transactions on Software Engineering, Vol. 15, Issue 11 https://doi.org/10.1109/32.41334	journal	January 1989
A New Grid Computation-Based Min-Min Algorithm Yu, Xiaogao; Yu, Xiaopeng 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery https://doi.org/10.1109/FSKD.2009.81	conference	August 2009
A weighted mean time Min-Min Max-Min selective scheduling strategy for independent tasks on Grid Chauhan, Sameer Singh; Joshi, R. C. 2010 IEEE 2nd International Advance Computing Conference (IACC 2010), 2010 IEEE 2nd International Advance Computing Conference (IACC) https://doi.org/10.1109/IADCC.2010.5423047	conference	February 2010
An improved honey bees life scheduling algorithm for a public cloud Garg, Anjuli; Krishna, C. Rama 2014 International Conference on Contemporary Computing and Informatics (IC3I) https://doi.org/10.1109/IC3I.2014.7019783	conference	November 2014
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients Ratnaweera, A.; Halgamuge, S. K.; Watson, H. C. IEEE Transactions on Evolutionary Computation, Vol. 8, Issue 3 https://doi.org/10.1109/TEVC.2004.826071	journal	June 2004
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors Ibarra, Oscar H.; Kim, Chul E. Journal of the ACM, Vol. 24, Issue 2 https://doi.org/10.1145/322003.322011	journal	April 1977