{"product_id":"9780470015230","title":"Large Deviations for Gaussian Queues Modelling Communication Networks","description":"\u003ch1\u003eLarge Deviations for Gaussian Queues\u003c\/h1\u003e\u003ch2\u003eModelling Communication Networks\u003c\/h2\u003e\u003ch3\u003eMichel Mandjes\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eIn recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input streams.  \u003cp\u003e\u003ci\u003eLarge Deviations for Gaussian Queues\u003c\/i\u003e demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications networks. Coverage includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDiscussion of the theoretical concepts and practical aspects related to Gaussian traffic models.\u003c\/li\u003e \u003cli\u003eAnalysis of recent research asymptotic results for Gaussian queues, both in the large-buffer and many-sources regime.\u003c\/li\u003e \u003cli\u003eAn emphasis on rare-event analysis, relying on a variety of asymptotic techniques.\u003c\/li\u003e \u003cli\u003eExamination of single-node FIFO queuing systems, as well as queues operating under more complex scheduling disciplines, and queuing networks.\u003c\/li\u003e \u003cli\u003eA set of illustrative examples that directly relate to important practical problems in communication networking.\u003c\/li\u003e \u003cli\u003eA large collection of instructive exercises and accompanying solutions.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eLarge Deviations for Gaussian Queues\u003c\/i\u003e assumes minimal prior knowledge. It is ideally suited for postgraduate students in applied probability, operations research, computer science and electrical engineering. The book’s self-contained style makes it perfect for practitioners in the communications networking industry and for researchers in related areas.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cb\u003eMichel Mandjes\u003c\/b\u003e, Centre for Mathematics and Computer Science (CWI) Amsterdam, The Netherlands, and Professor, Faculty of Engineering, University of Twente.\u003cbr\u003e At CWI Mandjes is a senior researcher and Director of the Advanced Communications Network group.  He has published for 60 papers on queuing theory, networks, scheduling, and pricing of networks.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 June 2007\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470015230\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e336\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e21.12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44384484032652,"sku":"9780470015230","price":140.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470015230_033d17ad-19e4-4556-a1d9-e9d971dac5bd.jpg?v=1780172068","url":"https:\/\/lateknightbooks.com\/products\/9780470015230","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}