• DocumentCode
    734337
  • Title

    Energy-Efficient Replication and Migration of Processes in a Cluster

  • Author

    Duolikun, Dilawaer ; Nakamura, Shigenari ; Enokido, Tomoya ; Takizawa, Makoto

  • Author_Institution
    Hosei Univ., Tokyo, Japan
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    118
  • Lastpage
    125
  • Abstract
    Application processes have to be efficiently performed in presence of server faults in a cluster. Multiple replicas of a process are performed on multiple servers. However, the more number of replicas of a process are performed, the more reliable and available the process can be performed but the more amount of electric energy is consumed. In this paper, we take a process migration (MG) approach to energy efficiently and reliably performing multiple replicas of an application process on servers. A replica of a process performed on a current server st migrates to another server su if the server su is expected to consume a smaller amount of electric energy to perform the replica than the current server st while the deadline constraint of the process is satisfied. We consider synchronous and asynchronous ways for process replicas to migrate to servers. In the synchronous migration, every replica migrates to another server on a same computation state. In the asynchronous migration, each replica makes a decision on when the replica migrates to which server.
  • Keywords
    cloud computing; MG approach; cloud computing; cluster process; electric energy; energy efficient migration; energy efficient replication; process migration; Computational modeling; Energy consumption; Estimation; Power demand; Reliability; Servers; Silicon; Asynchronous migration; Energy-aware cluster; Process migration; Process replication; Synchronous migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.17
  • Filename
    7185175