Search - queueing networks

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[Communication] QueueingTheorywithApplicationstoPacket DL : 0: This book is intended to provide an efficient introduction to the fundamental concepts and principles underlying the study of queueing systems as they apply to telecommunications networks and systems. Our objective is to provide sufficient background to allow our readers to formulate and solve interesting queueing problems in the telecommunications area. The book contains a selection of material that provides the reader with a sufficient background to read much of the queueing theory-based literature on telecommunications and networking, understand their modeling assumptions and solution procedures, and assess the quality of their results
Date : 2025-07-01 Size : 4.73mb User : Rolla Hassan
[Internet-Network] samples DL : 0: Omnet++ programs to learn the basics.Includes implementation for simple modules to different Networks.Queueing model,Dyna,Routing etc.
Date : 2025-07-01 Size : 30.88mb User : manu
[Mathimatics-Numerical algorithms] 00567919 DL : 0: A new prioritization scheme based on queueing, for processing handover recellular networks is presented. The reordered depending on the raof power degradation. The quality of the cellular sysprobability as comscheme.
Date : 2025-07-01 Size : 379kb User : raghu
[Industry research] antraf-buzen DL : 0: In queueing theory, a discipline within the mathematical theory of probability, Buzen s algorithm (or convolution algorithm) is an algorithm for calculating the normalization constant G(N) in the Gordon–Newell theorem. This method was first proposed by Jeffrey P. Buzen in 1973.[1] Computing G(N) is required to compute the stationary probability distribution of a closed queueing network. Performing a naï ve computation of the normalising constant requires enumeration of all states. For a system with N jobs and M states there are \tbinom{N+M-1}{M-1} states. Buzen s algorithm "computes G(1), G(2), ..., G(N) using a total of NM multiplications and NM additions." This is a significant improvement and allows for computations to be performed with much larger networks.
Date : 2025-07-01 Size : 24kb User : goot10