• DocumentCode
    3239654
  • Title

    Improving Grid Inter-Domain Scheduling with P2P Techniques: A Performance Evaluation

  • Author

    Caminero, Agustín ; Rana, Omer ; Caminero, Blanca ; Carrion, Carmen

  • Author_Institution
    Univ. of Castilla La Mancha, Albacete
  • fYear
    2008
  • fDate
    24-26 Oct. 2008
  • Firstpage
    190
  • Lastpage
    200
  • Abstract
    The aggregation of geographically distributed resources in the context of a particular application has been made possible thanks to the deployment of grid technologies. As grids are extremely distributed systems, requirements on the communication network should also be taken into account when performing usual tasks such as scheduling, migration or monitoring of jobs. Moreover, the interactions between different domains are a key issue in grid computing, thus their effects should be considered when performing the scheduling of tasks. In a previous contribution, we enhanced an existing framework that provides scheduling of jobs to computing resources to allow multi-domain scheduling based on peer-to-peer techniques. This paper provides a performance evaluation from the users´ point of view, carried out by means of simulation, in which our framework is compared with existing approaches for inter-domain task scheduling. Results show that our proposal provides the best results in terms of scalability and job completion time.
  • Keywords
    grid computing; peer-to-peer computing; scheduling; software performance evaluation; P2P techniques; geographically distributed resources; grid computing; grid inter-domain scheduling; multidomain scheduling; peer-to-peer techniques; performance evaluation; Application software; Communication networks; Computer science; Context; Grid computing; Monitoring; Peer to peer computing; Processor scheduling; Proposals; Quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grid and Cooperative Computing, 2008. GCC '08. Seventh International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3449-7
  • Type

    conf

  • DOI
    10.1109/GCC.2008.50
  • Filename
    4662863