• DocumentCode
    2786006
  • Title

    Analysis of the Power and Hardware Resource Consumption of Servers under Different Load Balancing Policies

  • Author

    Dargie, Waltenegus ; Schill, Alexander

  • Author_Institution
    Fac. of Comput. Sci., Dept. of Comput. Networks, Tech. Univ. of Dresden, Dresden, Germany
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    772
  • Lastpage
    778
  • Abstract
    Most Internet applications employ some kind of load balancing policies in a cluster setting to achieve reliable service provision as well as to deal with a resource bottleneck. However, these policies may not ensure the utilization of textit{all} of the hardware resources in a server equally efficiently. This paper experimentally investigates the relationship between the power consumption and resource utilization of a multimedia server cluster when different load balancing policies are used to distribute a workload. Our observations are the following: (1) A bottleneck on a single hardware resource can lead to a significant amount of underutilization of the entire system. (2) A ten times increment in the network bandwidth of the entire cluster can double the throughput of individual servers. The associated increment in power consumption of the individual servers is 1.2% only. (3) For TCP-based applications, session information is more useful than other types of status information to utilize power more efficiently. (4) The use of dynamic frequency scaling does not affect the overall throughput of IO-bound applications but reduces the power consumption of the servers; but this reduction is only 12% of the overall power consumption. More power can be saved by avoiding a resource bottleneck or through service consolidation.
  • Keywords
    Internet; computer centres; multimedia computing; power aware computing; resource allocation; Internet applications; cluster setting; data centers; different load balancing policies; dynamic frequency scaling; hardware resource consumption; multimedia server cluster; network bandwidth; power resource consumption; resource bottleneck; status information; Bandwidth; Load management; Memory management; Power demand; Resource management; Servers; Voltage control; Cluster computing; load balancing; power consumption; resource utilization; service consolidation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    2159-6182
  • Print_ISBN
    978-1-4673-2892-0
  • Type

    conf

  • DOI
    10.1109/CLOUD.2012.30
  • Filename
    6253578