Title Details: | |
Approximation Techniques |
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Authors: |
Stafylopatis, Andreas-Georgios Siolas, Georgios |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > COMPUTATIONAL SCIENCE > INTRODUCTION TO MODELING AND SIMULATION MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > COMPUTATIONAL SCIENCE > MODELING AND SIMULATION MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > ARCHITECTURE AND ORGANIZATION > PERFORMANCE ENHANCEMENTS MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > SYSTEMS FUNDAMENTALS |
Description: | |
Abstract: |
Approximation techniques based on the theory of queueing networks are developed, including the approximate formulation of the MVA method (single-class and multi-class models) for fixed and variable service rates, hierarchical modeling based on flow equivalence (definition of flow-equivalent servers), bounds on performance (asymptotic bounds and balanced-systems bounds), bottleneck analysis. Examples of approximate methods for the analysis of non product-form systems are described, such as systems with memory/population constraints, blocking systems, priority systems (SWIC method), Fork-Join systems, etc. Reference is made to the development of models for Web-based systems, with emphasis on particular features such as load burstiness, the existence of proxying, caching, mirroring etc.
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Linguistic Editors: |
Pappas, Vasilios |
Technical Editors: |
Siolas, Georgios |
Graphic Editors: |
Siolas, Georgios |
Type: |
Chapter |
Creation Date: | 2015 |
Item Details: | |
License: |
Attribution – NonCommercial – NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
Handle | http://hdl.handle.net/11419/6060 |
Bibliographic Reference: | Stafylopatis, A., & Siolas, G. (2015). Approximation Techniques [Chapter]. In Stafylopatis, A., & Siolas, G. 2015. Performance Analysis of Computer Systems [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/6060 |
Language: |
Greek |
Is Part of: |
Performance Analysis of Computer Systems |
Publication Origin: |
Kallipos, Open Academic Editions |