Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration
In this paper, we consider a non-preemptive task scheduling problem for unrelated parallel processors (UPP) with the objective of minimizing the makespan. We address priority consideration as an added feature to the basic task characteristics of UPP scheduling. A mixed integer linear programming mod...
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my.utm.407192017-08-02T03:30:54Z http://eprints.utm.my/id/eprint/40719/ Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration Caccetta, Louis Nordin, Syarifah Zyurina T Technology (General) In this paper, we consider a non-preemptive task scheduling problem for unrelated parallel processors (UPP) with the objective of minimizing the makespan. We address priority consideration as an added feature to the basic task characteristics of UPP scheduling. A mixed integer linear programming model is developed to obtain an optimal solution for the problem. Computational testing is implemented using AIMMS 3.10 package and CPLEX 12.1 as the solver. Computational results show that the proposed MILP model is effective and produces optimal results with up to 100 tasks run on 5 processors with an average solution time of less than an hour. Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration. Available from: https://www.researchgate.net/publication/272695327_Mixed_integer_programming_model_for_scheduling_in_unrelated_parallel_processor_system_with_priority_consideration [accessed Aug 2, 2017]. American Institute of Mathematical Sciences 2013 Article PeerReviewed Caccetta, Louis and Nordin, Syarifah Zyurina (2013) Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration. Numerical Algebra, Control and Optimization (NACO) . ISSN 2155-3297 |
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T Technology (General) Caccetta, Louis Nordin, Syarifah Zyurina Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
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In this paper, we consider a non-preemptive task scheduling problem for unrelated parallel processors (UPP) with the objective of minimizing the makespan. We address priority consideration as an added feature to the basic task characteristics of UPP scheduling. A mixed integer linear programming model is developed to obtain an optimal solution for the problem. Computational testing is implemented using AIMMS 3.10 package and CPLEX 12.1 as the solver. Computational results show that the proposed MILP model is effective and produces optimal results with up to 100 tasks run on 5 processors with an average solution time of less than an hour. Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration. Available from: https://www.researchgate.net/publication/272695327_Mixed_integer_programming_model_for_scheduling_in_unrelated_parallel_processor_system_with_priority_consideration [accessed Aug 2, 2017]. |
format |
Article |
author |
Caccetta, Louis Nordin, Syarifah Zyurina |
author_facet |
Caccetta, Louis Nordin, Syarifah Zyurina |
author_sort |
Caccetta, Louis |
title |
Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
title_short |
Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
title_full |
Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
title_fullStr |
Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
title_full_unstemmed |
Mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
title_sort |
mixed integer programming model for scheduling in unrelated parallel processor system with priority consideration |
publisher |
American Institute of Mathematical Sciences |
publishDate |
2013 |
url |
http://eprints.utm.my/id/eprint/40719/ |
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1643650536899084288 |
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13.211869 |