• DocumentCode
    249116
  • Title

    A simulation of priority based earliest deadline first scheduling for cloud computing system

  • Author

    Gupta, Gaurav ; Kumawat, Vimal Kr ; Laxmi, P.R. ; Singh, D. ; Jain, Vinesh ; Singh, Rajdeep

  • Author_Institution
    Dept. of Comput. Sci., Gov. Eng. Coll., Ajmer, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    35
  • Lastpage
    39
  • Abstract
    Cloud is a new trend in the computing. It is the combination of distributed, parallel and grid computing. It is a pay on demand computing. Basically cloud is a shared pool of resources. The resources are shared among users who are geographically distributed. As the area of cloud is increasing, several issues are also increasing. These issues are related to security, resource allocation, performance and cost. The paper has its main focus on the resource allocation problem and to solve the problem we are discussing a task allocation algorithm. The algorithm that we will discuss in this paper uses the two task scheduling algorithm one is priority based and other is earliest deadline first scheduling algorithm. The tasks are allocated on the basis of their priority and the task having higher priority get scheduled first. The simulation is performed on the CloudSim toolkit. CloudSim is a JAVA based simulator. The proposed work will results in higher performance and also improves memory utilization.
  • Keywords
    cloud computing; resource allocation; scheduling; CloudSim toolkit; cloud computing system; earliest deadline first scheduling; priority simulation; resource allocation; task allocation algorithm; task scheduling algorithm; Cloud computing; Computational modeling; Computer architecture; Resource management; Scheduling algorithms; Virtual machining; CloudSim; cloud computing; earliest deadline first; priority based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906659
  • Filename
    6906659