• Title of article

    Performance analysis of multi computer system consisting of active parallel homogeneous clients

  • Author/Authors

    Ibrahim ، Yusuf Department of Mathematical Sciences - Bayero University , Abdullahi ، Sanusi School of Continuing Education - Bayero University , Lado ، Ismail Abdulkareem Department of Mathematics - Kano State College of Education and Preliminary Studies , Salihu ، Isa Muhammad Department of Mathematics - Federal University , Suleiman ، K. Department of Mathematics - Yusuf Maitama Sule University , Shehu ، Bala Department of Mathematical Sciences - Bayero University , U.A ، Ali Department of Mathematics - Federal University

  • From page
    1
  • To page
    24
  • Abstract
    Reliability is among the performance factors applied to multi computer systems consisting of active parallel hosts (clients) and a central server. For reliability evaluation and system performance, this study analyzed a multi computer system consisting of a three hosts (clients) connected to a central server. The system is configured as seriesparallel system consisting of two subsystems A and B. Subsystem A consist of three clients working in parallel with each other while subsystem B consist of a central server. Both clients and server failure and repair time are to be exponentially distributed The system is analyzed using first order differential difference equations to derive the expressions for availability, mean time to failure, probability of busy period of repairman due partial or complete failure. The results are presented in tables and graphs. Reliability characteristics such as availability, MTTF, profit function as well as sensitivity analysis have been discussed. Some particular cases have also been derived and examined to see the practical effect of the model. The computed results are demonstrated by tables and graphs.
  • Keywords
    Multi computer , client , Server , reliability analysis , Industrial systems , Availability
  • Journal title
    Annals of Optimization Theory and Practice
  • Journal title
    Annals of Optimization Theory and Practice
  • Record number

    2628890