Event-based Optimization of Schedules for Grid Jobs
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| Year of publication | 2011 |
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| Description | This thesis is oriented on the application of advanced scheduling methods for job scheduling in large, dynamic and heterogeneous environments, e.g., Grids. The solution is based on the application of schedule-based methods involving metaheuristic optimization techniques such as local search. The success of the solution is based on several principles. A time-efficient incremental approach is used to deliver solution quickly. Event-based approach is used to manage the whole scheduling process while evaluation is used to guide the solution techniques toward expected behavior. Thanks to that, the solution is able to deal with limited time, inaccurate information as well as complex objective criteria as is shown in several complex experiments. As a part of this research a complex job scheduling simulator "Alea" has been developed. So far, this simulator has been used by approximately 30 researchers/students from around the world. |
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