Performance Evaluation of Parallel and Distributed Systems
Performance Evaluation of Parallel and Distributed Systems

Author: M. Ould-Khaoua

Publisher:

Published: 2007

Total Pages: 0

ISBN-13: 9781594548178

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In this book, the authors review important developments and discuss new strategies for the performance evaluation of parallel, distributed and emergent systems. The purpose is to make analytical, simulation and testbed-based modelling and evaluation tools and methodology possible and understandable to a wider audience and to report the state-of-the-art innovative tools and techniques for system performance evaluation. Consequently, this book can serve as a valuable source of reference and indispensable reading for researchers, educators, engineers, graduate students, and practitioners in the field of design and analysis of such systems.

Performance Evaluation, Prediction and Visualization of Parallel Systems
Performance Evaluation, Prediction and Visualization of Parallel Systems

Author: Xingfu Wu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 336

ISBN-13: 1461551471

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Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.

Quantitative Methods in Parallel Systems
Quantitative Methods in Parallel Systems

Author: Francois Baccelli

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 313

ISBN-13: 3642799175

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It is widely recognized that the complexity of parallel and distributed systems is such that proper tools must be employed during their design stage in order to achieve the quantitative goals for which they are intended. This volume collects recent research results obtained within the Basic Research Action Qmips, which bears on the quantitative analysis of parallel and distributed architectures. Part 1 is devoted to research on the usage of general formalisms stemming from theoretical computer science in quantitative performance modeling of parallel systems. It contains research papers on process algebras, on Petri nets, and on queueing networks. The contributions in Part 2 are concerned with solution techniques. This part is expected to allow the reader to identify among the general formalisms of Part I, those that are amenable to an efficient mathematical treatment in the perspective of quantitative information. The common theme of Part 3 is the application of the analytical results of Part 2 to the performance evaluation and optimization of parallel and distributed systems. Part 1. Stochastic Process Algebras are used by N. Gotz, H. Hermanns, U. Herzog, V. Mertsiotakis and M. Rettelbach as a novel approach for the struc tured design and analysis of both the functional behaviour and performability (i.e performance and dependability) characteristics of parallel and distributed systems. This is achieved by integrating stochastic modeling and analysis into the powerful and well investigated formal description techniques of process algebras.

Analytical Modelling in Parallel and Distributed Computing
Analytical Modelling in Parallel and Distributed Computing

Author: Peter Hanuliak

Publisher: Chartridge Books Oxford

Published: 2014

Total Pages: 308

ISBN-13: 1909287903

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This publication examines complex performance evaluation of various typical parallel algorithms (shared memory, distributed memory) and their practical implementations. As real application examples we demonstrate the various influences during the process of modelling and performance evaluation and the consequences of their distributed parallel implementations.

Performance Evaluation Models for Distributed Service Networks
Performance Evaluation Models for Distributed Service Networks

Author: Grzegorz Bocewicz

Publisher: Springer Nature

Published: 2021-04-16

Total Pages: 188

ISBN-13: 3030670635

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This book presents novel approaches to formulate, analyze, and solve problems in the area of distributed service networks, notably based on AI-related methods (parallel/cloud computing, declarative modeling, fuzzy methods). Distributed service networks are an important area of research and applications. The methods presented are meant to integrate both emerging and existing concepts and approaches for different types of production flows through synchronizations. An integration of logistics services (e.g., supply chains and projects portfolios), public and multimodal transport, traffic flow congestion management in ad hoc networks, design of high-performance cloud data centers, and milk-run distribution networks are shown as illustrations for the methods proposed. The book is of interest to researchers and practitioners in computer science, operations management, production control, and related fields.