• Login
    View Item 
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    CMS workflow execution using intelligent job scheduling and data access strategies.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    IEEE TNS CMS Workflow Scheduling ...
    Size:
    394.0Kb
    Format:
    PDF
    Description:
    pre-print
    Download
    Authors
    Hasham, Khawar
    Delgado Peris, Antonio
    Anjum, Ashiq cc
    Evans, Dave
    Gowdy, Stephen
    Hernandez, José M.
    Huedo, Eduardo
    Hufnagel, Dirk
    van Lingen, Frank
    McClatchey, Richard
    Metson, Simon
    Show allShow less
    Affiliation
    University of the West of England
    European Center for Nuclear Research
    Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
    Fermi National Accelerator Laboratory
    Universidad Complutense de Madrid
    University of Bristol
    Issue Date
    2011-06
    
    Metadata
    Show full item record
    Abstract
    Complex scientific workflows can process large amounts of data using thousands of tasks. The turnaround times of these workflows are often affected by various latencies such as the resource discovery, scheduling and data access latencies for the individual workflow processes or actors. Minimizing these latencies will improve the overall execution time of a workflow and thus lead to a more efficient and robust processing environment. In this paper, we propose a pilot job concept that has intelligent data reuse and job execution strategies to minimize the scheduling, queuing, execution and data access latencies. The results have shown that significant improvements in the overall turnaround time of a workflow can be achieved with this approach. The proposed approach has been evaluated, first using the CMS Tier0 data processing workflow, and then simulating the workflows to evaluate its effectiveness in a controlled environment.
    Citation
    Hasham, K. et al. (2011) 'CMS workflow execution using intelligent job scheduling and data access strategies', IEEE Transactions on Nuclear Science. 58(3), pp.1221 - 1232. DOI:10.1109/TNS.2011.2146276
    Publisher
    IEEE
    Journal
    IEEE Transactions on Nuclear Science
    URI
    http://hdl.handle.net/10545/623036
    DOI
    10.1109/TNS.2011.2146276
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5773464
    Type
    Article
    Language
    en
    ISSN
    0018-9499
    EISSN
    1558-1578
    ae974a485f413a2113503eed53cd6c53
    10.1109/TNS.2011.2146276
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.