• DocumentCode
    1569457
  • Title

    Evaluation of overflow probabilities in resource management

  • Author

    Verma, Dinesh C. ; Ferrari, Domenico

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1992
  • Firstpage
    1212
  • Abstract
    In a number of network and database management applications, an upper bound has to be evaluated on the probability that the capacity of a server will be exceeded. The authors refer to this probability as the overflow probability of the server. The problem is, in essence, determining the probability that the sum of N independent random variables exceeds a given threshold. Evaluation of the overflow probability by brute-force enumeration requires a computation time which increases exponentially with N, so attempts have been made to approximate the overflow probability using Chernoff bounds. They present a simple scheme that can be used to evaluate the overflow probability with higher accuracy and lower computational effort than the Chernoff bounds approach. A set of algorithms is presented in C-like pseudocode that can be used to evaluate the overflow probability
  • Keywords
    database theory; distributed databases; probability; resource allocation; telecommunication network management; ATM; C-like pseudocode; Chernoff bounds; algorithms; database management applications; independent random variables; network applications; overflow probability; resource management; server; upper bound; Asynchronous transfer mode; Bandwidth; Computer network management; Computer networks; Computer science; Databases; Network servers; Resource management; Switches; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1992. ICC '92, Conference record, SUPERCOMM/ICC '92, Discovering a New World of Communications., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0599-X
  • Type

    conf

  • DOI
    10.1109/ICC.1992.268048
  • Filename
    268048