• DocumentCode
    230963
  • Title

    Mapping of tasks to resources maintaining fairness using swarm optimization in cloud environment

  • Author

    Sharma, Ritu ; Bharti, Monika

  • Author_Institution
    Comput. Sci. & Eng. Dept., Chandigarh Univ., Mohali, India
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cloud computing gets its standard all over the world due to the necessity for delivering IT services, in excess with internet. It consist of pooled computing resources like network, applications, servers consist of parallel and distributed system based on the SLA. It has been perceived from the past decade that in a cloud environment task scheduling became concerned issue. In this paper our aim is to get better optimized results for which we do mapping of tasks to resources maintaining fairness using the PSO scheduling algorithm. The platform used for the experiment is CloudSim via which we attain more efficiency.
  • Keywords
    cloud computing; parallel algorithms; particle swarm optimisation; scheduling; CloudSim; IT services; Internet; PSO scheduling algorithm; SLA; cloud computing; cloud environment task scheduling; computing resources; distributed system; parallel system; swarm optimization; Algorithm design and analysis; Cloud computing; Job shop scheduling; Optimization; Scheduling algorithms; CloudSim; Cloudlet; Computing cloud; Particle Swarm Optimization; QoS; Task Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-6895-4
  • Type

    conf

  • DOI
    10.1109/ICRITO.2014.7014724
  • Filename
    7014724