05435nam 2200697Ia 450 991045116670332120200520144314.01-281-86743-897866118674301-86094-892-8(CKB)1000000000406330(EBL)1679313(OCoLC)748530875(SSID)ssj0000127948(PQKBManifestationID)11134631(PQKBTitleCode)TC0000127948(PQKBWorkID)10062512(PQKB)10909980(MiAaPQ)EBC1679313(WSP)0000P453(Au-PeEL)EBL1679313(CaPaEBR)ebr10201278(CaONFJC)MIL186743(EXLCZ)99100000000040633020070305d2006 uy 0engur|n|---|||||txtccrComputer system performance modeling in perspective[electronic resource] a tribute to the work of Professor Kenneth C. Sevcik /editor Erol GelenbeLondon Imperial College Pressc20061 online resource (290 p.)Advances in computer science and engineering: Texts ;1Description based upon print version of record.1-86094-661-5 Includes bibliographical references.Contents ; Preface ; Chapter 1 Ken Sevcik as an Advisor and Mentor ; Chapter 2 Shadow Servers and Priority Scheduling ; 1. Introduction ; 2. Single Class Models ; 3. Multi-Class Models ; 4. Importance of Priorities ; 5. The Shadow Server Approximaton ; 6. Extensions7. Comments on Significance References ; Chapter 3 On the Chronology of Dynamic Allocation Index Policies: The Pioneering Work of K. C. Sevcik ; 1. Introduction ; 2. Sevcik's Smallest-Rank-First Index Policy ; 3. Background and Chronology ; 4. Examples ; 5. Concluding RemarksReferences Chapter 4 Operational Analysis ; 1. Introduction ; 2. Dead Cows ; 3. Dead Cows in Markovian Queueing Networks ; 4. The Birth of Operational Analysis ; 5. The Fundamental Assumptions of Operational Analysis ; 6. Controversy ; 7. Salute ; 8. An Historical FootnoteReferences (Published) References (Unpublished Technical Reports) ; Appendix - Operational Analysis: A Fable ; Chapter 5 Function Approximation by Random Neural Networks with a Bounded Number of Layers ; 1. Introduction ; 2. The GNN and Its Extensions ; 2.1. The BGNN model3. Approximation of Functions of One Variable by the GNN with a Bounded Number of Layers 3.1. Technical premises ; 3.2. BGNN approximation of continuous functions of one variable ; 3.3. CGNN approximation of continuous functions of one variable4. Approximation of Continuous Functions of s VariablesComputer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field. The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery. <i>Sample Chapter(s)Advances in computer science and engineering.Texts ;v. 1.Computer systemsEvaluationComputer systemsReliabilityElectronic digital computersEvaluationElectronic books.Computer systemsEvaluation.Computer systemsReliability.Electronic digital computersEvaluation.004.24Gelenbe E.1945-25267MiAaPQMiAaPQMiAaPQBOOK9910451166703321Computer system performance modeling in perspective2051431UNINA