Parallel Job Scheduling Using Grey Wolf Optimization Algorithm for Heterogeneous Multi-Cluster Environment

[1]  Fei Tao,et al.  Cloud manufacturing: a computing and service-oriented manufacturing model , 2011 .

[2]  Chao-Tung Yang,et al.  Well-Balanced Allocation Strategy for Multi-Cluster Computing Environments , 2008, 2008 12th IEEE International Workshop on Future Trends of Distributed Computing Systems.

[3]  Hannu Tenhunen,et al.  Using Ant Colony System to Consolidate VMs for Green Cloud Computing , 2015, IEEE Transactions on Services Computing.

[4]  Pascal Bouvry,et al.  A Cellular Genetic Algorithm for scheduling applications and energy-aware communication optimization , 2010, 2010 International Conference on High Performance Computing & Simulation.

[5]  Jianfeng Zhao,et al.  Genetic algorithm and ant colony algorithm based Energy-Efficient Task Scheduling , 2013, 2013 IEEE Third International Conference on Information Science and Technology (ICIST).

[6]  Pinar Civicioglu,et al.  A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms , 2013, Artificial Intelligence Review.

[7]  Pascal Bouvry,et al.  A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids , 2012, Cluster Computing.

[8]  M. S. Saleem Basha,et al.  A novel algorithm for reducing energy-consumption in cloud computing environment: Web service computing approach , 2016, J. King Saud Univ. Comput. Inf. Sci..

[9]  Xiaoli Wang,et al.  Minimizing makespan on a single batching machine with release times and non-identical job sizes , 2005, Oper. Res. Lett..

[10]  Albert Y. Zomaya,et al.  A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems , 2014, Sustain. Comput. Informatics Syst..

[11]  Fernando Guirado,et al.  Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments , 2016, The Journal of Supercomputing.

[12]  M. Sheikhalishahi,et al.  A hybrid GA–PSO approach for reliability optimization in redundancy allocation problem , 2013 .

[13]  Albert Y. Zomaya,et al.  Energy-aware parallel task scheduling in a cluster , 2013, Future Gener. Comput. Syst..

[14]  Pier Luca Lanzi,et al.  Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems , 2010, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[15]  M. Prakash,et al.  Fault Tolerance-Genetic Algorithm for Grid Task Scheduling using Check Point , 2007, Sixth International Conference on Grid and Cooperative Computing (GCC 2007).

[16]  Abdul Hanan Abdullah,et al.  An ant colony optimization for dynamic job scheduling in grid environment , 2007 .

[17]  Mohammad Masdari,et al.  Towards workflow scheduling in cloud computing: A comprehensive analysis , 2016, J. Netw. Comput. Appl..

[18]  Fernando Guirado,et al.  Multiple job co-allocation strategy for heterogeneous multi-cluster systems based on linear programming , 2011, The Journal of Supercomputing.

[19]  Yang Tao.  Analysis on Active Power Fluctuation Characteristics of Large-Scale Grid-Connected Wind Farm and Generation Scheduling Simulation Under Different Capacity Power Injected From Wind Farms Into Power Grid , 2010 .

[20]  Andrew Y. C. Nee,et al.  A modified genetic algorithm for distributed scheduling problems , 2003, J. Intell. Manuf..

[21]  Inderveer Chana,et al.  QRSF: QoS-aware resource scheduling framework in cloud computing , 2014, The Journal of Supercomputing.

[22]  Fei Wang,et al.  A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing , 2010, WISM.

[23]  Jorge G. Barbosa,et al.  A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clusters , 2008, VECPAR.

[24]  Jing Liu,et al.  Job Scheduling Model for Cloud Computing Based on Multi- Objective Genetic Algorithm , 2013 .

[25]  Jing Ning,et al.  A Dynamic Web Services Selection Algorithm with QoS Global Optimal in Web Services Composition , 2007 .