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Efficient Data Representation of Large Job Schedules

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00053280" target="_blank" >RIV/00216224:14330/11:00053280 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-25929-6_10" target="_blank" >http://dx.doi.org/10.1007/978-3-642-25929-6_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-25929-6_10" target="_blank" >10.1007/978-3-642-25929-6_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Data Representation of Large Job Schedules

  • Original language description

    The increasing popularity of advanced schedule-based techniques designed to solve Grid scheduling problems requires the use of efficient data structures to represent the constructed job schedules. Based on our previous research in the area of advanced scheduling algorithms we have developed data representation designed to maintain large job schedules. We provide new details of the applied representation, especially about the binary heap structure that guarantees good efficiency of the crucial schedule update procedure which is used to keep the schedule consistent and up-to-date subject to dynamically changing state of the system. We prove the time complexity related to the use of such a structure and--using an experimental evaluation--we demonstrate the performance of this structure even for very large job schedules.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MEMICS 2011, Revised Selected Papers

  • ISBN

    978-3-642-25928-9

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    103-113

  • Publisher name

    Springer, Lecture Notes in Computer Science 7119

  • Place of publication

    Berlin

  • Event location

    Lednice

  • Event date

    Jan 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article