• DocumentCode
    3031040
  • Title

    Autonomic computing and reliability improvement

  • Author

    Dai, Yuan-Shun

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA
  • fYear
    2005
  • fDate
    18-20 May 2005
  • Firstpage
    204
  • Lastpage
    206
  • Abstract
    The rapidly increasing complexity of systems is driving the movement towards autonomic systems that are capable of managing themselves without the need for human intervention. Without autonomic technologies, many conventional systems suffer reliability degradation due to the accumulation of errors. The autonomic management techniques break the traditional reliability degradation trend. This paper comprehensively describes the roles and functions of various autonomic components, and systematically reviews past and current technologies that have been developed to address the specific areas of the autonomic computing environment. A new mechanism of model-driven autonomic management is further presented, which is more intelligent and efficient.
  • Keywords
    distributed processing; object-oriented programming; self-adjusting systems; software reliability; autonomic computing; human intervention; model-driven autonomic management; Autonomic nervous system; Biological system modeling; Biology computing; Degradation; Humans; Information science; Monitoring; Predictive models; Reliability theory; Systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Object-Oriented Real-Time Distributed Computing, 2005. ISORC 2005. Eighth IEEE International Symposium on
  • Print_ISBN
    0-7695-2356-0
  • Type

    conf

  • DOI
    10.1109/ISORC.2005.17
  • Filename
    1420971