• DocumentCode
    415776
  • Title

    Approaches to building self healing systems using dependency analysis

  • Author

    Gao, J. ; Kar, G. ; Kermani, P.

  • Author_Institution
    Dept. of Comput. Sci., Stanford Univ., CA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    23-23 April 2004
  • Firstpage
    119
  • Abstract
    Typical distributed transaction environments are a heterogeneous collection of hardware and software resources. An example of such an environment is an electronic store front where users can launch a number of different transactions to complete one or more interactions with the system. One of the challenges in managing such an environment is to figure out the root cause of a performance or throughput problem that manifests itself at a user access point, and to take appropriate action, preferably in an automated way. Our paper addresses this problem by analyzing the dependency relationship among various software components. We also provide a theoretical insight into how a set of transactions can be generated to pinpoint the root cause of a performance problem that is manifested at the user access point.
  • Keywords
    computer network management; computer network reliability; electronic commerce; software agents; transaction processing; dependency analysis; distributed transaction environments; distributed transaction processing; e-business; electronic store front; hardware resources; management agents; performance problem; self healing systems; software resources; throughput problem; user access point; Algorithm design and analysis; Degradation; Delay; Environmental management; Hardware; Monitoring; Performance analysis; Resource management; Software performance; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2004. NOMS 2004. IEEE/IFIP
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1542-1201
  • Print_ISBN
    0-7803-8230-7
  • Type

    conf

  • DOI
    10.1109/NOMS.2004.1317649
  • Filename
    1317649