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Title: | An optimization scheduler in the intranet grid |
Author: | Lukašík, Petr; Sysel, Martin |
Document type: | Conference paper (English) |
Source document: | Advances in Intelligent Systems and Computing. 2016, vol. 465, p. 171-180 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-319-33620-6 |
DOI: | https://doi.org/10.1007/978-3-319-33622-0_16 |
Abstract: | Scheduling of processes is the basic task for a grid computing. This role is responsible for the allocation of time for computational agents. The calculation agent can include a wide range of devices, based on various types of computer systems. Is it possible to efficiently build a grid infrastructure in the company environment. The grid can be used in scientific and technical computing, as well as better load distribution of the individual computing systems and services. The scheduler is a major component of grid computing. The main task is to effectively distribute the load of the system and allocate tasks to places that are not sufficiently utilized at a given moment. The article also focuses on the relation between conflicting parameters, which relate to the quality of the planning process. Time calculation of the optimization algorithm affects the quality of the draft plan. It has a direct impact on the total period of the job processing. In the strategy of the scheduling there is a point where extensions of time have no effect on quality of the draft of the plan but getting worse the overall runtime of the job. The aim was to compare the common metaheuristic algorithms. From the measured values to propose a methodology for determining the optimum time for planning process. © Springer International Publishing Switzerland 2016. |
Full text: | https://link.springer.com/chapter/10.1007/978-3-319-33622-0_16 |
Physical copies: | Copies in TBU Library catalogue |
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