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Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks

Devi, D. Chitra ; Uthariaraj, V. Rhymend Wu, Chin-Chia

TheScientificWorld, 2016, Vol.2016, p.3896065-14 [Periódico revisado por pares]

United States: Hindawi Publishing Corporation

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  • Título:
    Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks
  • Autor: Devi, D. Chitra ; Uthariaraj, V. Rhymend
  • Wu, Chin-Chia
  • Assuntos: Algorithms ; Cloud computing ; Distributed processing ; Employment ; Hardware reviews ; Load ; Production scheduling ; Servers ; Technology application
  • É parte de: TheScientificWorld, 2016, Vol.2016, p.3896065-14
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Academic Editor: Chin-Chia Wu
  • Descrição: Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to underutilized VMs for effectively sharing the resources. The scheduling of the nonpreemptive tasks in the cloud computing environment is an irrecoverable restraint and hence it has to be assigned to the most appropriate VMs at the initial placement itself. Practically, the arrived jobs consist of multiple interdependent tasks and they may execute the independent tasks in multiple VMs or in the same VM’s multiple cores. Also, the jobs arrive during the run time of the server in varying random intervals under various load conditions. The participating heterogeneous resources are managed by allocating the tasks to appropriate resources by static or dynamic scheduling to make the cloud computing more efficient and thus it improves the user satisfaction. Objective of this work is to introduce and evaluate the proposed scheduling and load balancing algorithm by considering the capabilities of each virtual machine (VM), the task length of each requested job, and the interdependency of multiple tasks. Performance of the proposed algorithm is studied by comparing with the existing methods.
  • Editor: United States: Hindawi Publishing Corporation
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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