• DocumentCode
    775628
  • Title

    Capacity Estimation of Cyclic Queues

  • Author

    Servi, L.D.

  • Author_Institution
    GTE Laboratories, Inc., Waltham, MA, USA
  • Volume
    33
  • Issue
    3
  • fYear
    1985
  • fDate
    3/1/1985 12:00:00 AM
  • Firstpage
    279
  • Lastpage
    282
  • Abstract
    In many data communication and telephone switching systems, one processor must perform more than one type of task. In some systems it is advantageous to place the different tasks in different queues and have the processor serve the queues in a cyclic manner. Moreover, the system design often imposes a (finite or infinite) limit on the number of entries that may be served per cycle from any given queue; this limit typically varies from queue to queue. This paper will derive the capacity estimation of such systems. We consider systems which, in addition to serving n queues cyclically, must execute maintenance (or other low-priority jobs) without severely disrupting the queues\´ performance. For two alternative methods of scheduling the maintenance, we compute steady state values of i) the average cycle time, ii) the average number of entries of each queue served per cycle, iii) the average time spent at each queue per cycle, iv) the average amount of elapsed time necessary to complete a given amount of maintenance execution real time, and v) if the arrival rate to queue i,\\lambda _{i} , is proportional to N , the number of customers in the system, i.e., \\lambda _{i} = N\\alpha _{i} , then we a) compute the value of N which saturates the system and b) predict which queue will first become saturated as N is increased towards this value.
  • Keywords
    Communication switching; Data communications; Queuing analysis; Switching, communication; Acoustic signal detection; Detectors; Estimation theory; Gaussian noise; Radar detection; Random processes; Random variables; Signal to noise ratio; Stochastic processes; White noise;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOM.1985.1096286
  • Filename
    1096286