• DocumentCode
    1793801
  • Title

    Comparative study of different cloud computing load balancing techniques

  • Author

    Hans, Abhinav ; Kalra, Sandeep

  • Author_Institution
    Guru Nanak Dev Univ., Amritsar, India
  • fYear
    2014
  • fDate
    7-8 Nov. 2014
  • Firstpage
    395
  • Lastpage
    397
  • Abstract
    Cloud computing is one of the ongoing scalable approach for the cloud based services. The cloud computing with its all beneficial advantages leads to a new era where the solution to the infrastructure remedies and many others are made to overcome. Since the technology is new therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Load balancing is one of the issue of the cloud computing which involves the dividing the load equally so the throughput is high with less response time. For this purpose various load balancing techniques and algorithms have been proposed. In this paper we will study the different types of load balancing techniques and make a comparative analysis among all the existing techniques.
  • Keywords
    cloud computing; resource allocation; cloud computing; load balancing techniques; Algorithm design and analysis; Cloud computing; Computational modeling; Genetic algorithms; Load management; Load modeling; Servers; Ant colony; Generalized Priority Algorithm; Genetic Algorithm; HoneyBee foraging; Join Idle Queue; Shortest Job First; Stochastic Hill Climbing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
  • Conference_Location
    Greater Noida
  • Print_ISBN
    978-1-4799-5096-6
  • Type

    conf

  • DOI
    10.1109/MedCom.2014.7006040
  • Filename
    7006040