Stochastic networks: theory and applications

Table of contents

  1. Maury Bramson
    Convergence to equilibria for fluid models of certain FIFO and processor sharing queueing networks
  2. Gideon Weiss
    Optimal draining of fluid re-entrant lines: some solved examples
  3. Ruth J. Williams
    On the approximation of queueing networks in heavy traffic
  4. J. Michael Harrison
    The BIGSTEP approach to flow management in stochastic processing networks
  5. Neil O'Connell
    Queue lengths and departures at single-server resources
  6. Kurt Majewski
    Large deviations of stationary reflected Brownian motions
  7. Thomas G. Kurtz
    Limit theorems for workload input models
  8. Frank Kelly
    Notes on effective bandwidths
  9. Richard Gibbens
    Traffic characterisation and effective bandwidths for broadband network traces
  10. Susan M. Pitts
    Nonparametric estimation for quantities of interest in queues
  11. Stan Zachary
    The asymptotic behaviour of large loss networks
  12. Iain MacPhee and Ilze Ziedins
    Admission controls for loss networks with diverse routing
  13. Murat Alanyali and Bruce Hajek
    On load balancing in Erlang networks
  14. Suzanne P. Evans
    Analysing system behaviour on different timescales
  15. Renate Garbe and Kevin Glazebrook
    On optimal returns and suboptimality bounds for systems satisfying generalised conservation laws
  16. Ram Chakka and Isi Mitrani
    Approximate solutions for open networks with breakdowns and repairs
  17. François Baccelli, Serguei Foss, and Jean Mairesse
    Stationary ergodic Jackson networks: results and counter-examples
  18. Tom Mountford and Balaji Prabhakar
    The Cesaro limit of departures from certain ./GI/1 queueing tandems
  19. Yurii Suhov and David Rose
    The Poisson-independence hypothesis for infinitely-growing fully-connected packet-switching networks
  20. Walter Willinger, Murad S. Taqqu, and Ashok Erramilli
    A bibliographical guide to self-similar traffic and performance modeling for modern high-speed networks

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