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An optimization scheduler in the intranet grid

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dc.title An optimization scheduler in the intranet grid en
dc.contributor.author Lukašík, Petr
dc.contributor.author Sysel, Martin
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-33620-6
dc.identifier.isbn 978-3-319-33622-0
dc.date.issued 2016
utb.relation.volume 465
dc.citation.spage 171
dc.citation.epage 180
dc.event.title 5th Computer Science On-line Conference, CSOC 2016
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2015-04-27
dc.event.edate 2015-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-33622-0_16
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-33622-0_16
dc.subject Grid en
dc.subject JSDL en
dc.subject Optimization scheduler en
dc.subject POSIX en
dc.subject Precedence en
dc.description.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. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006447
utb.identifier.obdid 43876160
utb.identifier.scopus 2-s2.0-84964768881
utb.identifier.wok 000385788200016
utb.source d-scopus
dc.date.accessioned 2016-07-26T14:58:32Z
dc.date.available 2016-07-26T14:58:32Z
dc.rights.access openAccess
utb.identifier.utb-sysno 87686
utb.contributor.internalauthor Lukašík, Petr
utb.contributor.internalauthor Sysel, Martin
utb.fulltext.affiliation Petr Lukasik and Martin Sysel P. Lukasik ( ✉ ) ⋅ M. Sysel Faculty of Applied Informatics, Department of Computer and Communication Systems, Tomas Bata University in Zlin, nam. T. G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: plukasik@tajmac-zps.cz URL: http://www.fai.utb.cz M. Sysel e-mail: sysel@fai.utb.cz
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