• DocumentCode
    2855896
  • Title

    Adaptive Monitoring for Virtual Machine Based Reconfigurable Enterprise Systems

  • Author

    Machida, Fumio ; Kawato, Masahiro ; Maeno, Yoshiharu

  • Author_Institution
    NEC Corp., Kawasaki
  • fYear
    2007
  • fDate
    19-25 June 2007
  • Firstpage
    8
  • Lastpage
    8
  • Abstract
    Dynamic monitoring adaptation to system reconfigurations such as server scale-out is required especially for the virtual machine based flexible IT systems. For any states of the systems, the monitoring server must provide fresh information with a stabilized load. In this paper, we propose an adaptive monitoring method that generates the monitoring schedule for each state of the target systems. The schedule regulates the processes for updating information cache to keep the required freshness and to stabilize the monitoring load. Since the problem for schedule generation is classified in NP-hard, we propose an approximation algorithm. Results from experiments with system reconfigurations show that the adaptive monitoring method improves the variation coefficients of CPU usages and network traffics of monitoring server by at most 80%.
  • Keywords
    computational complexity; file servers; resource allocation; scheduling; system monitoring; virtual machines; NP-hard problem; adaptive monitoring method; approximation algorithm; dynamic monitoring adaptation; load balancing; schedule generation; virtual machine based flexible IT system; virtual machine based reconfigurable enterprise system; Approximation algorithms; Availability; Condition monitoring; Optimal scheduling; Power system management; Processor scheduling; Resource management; Scheduling algorithm; Virtual machine monitors; Virtual machining; Adaptive Monitoring; Virtual Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic and Autonomous Systems, 2007. ICAS07. Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-2859-7
  • Electronic_ISBN
    978-0-7695-2859-7
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2007.51
  • Filename
    4437885