Performance Evaluation of Complex Systems: Techniques and Tools Performance 2002. Tutorial Lectures / edited by Maria Carla Calzarossa, Salvatore Tucci.

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Calzarossa, Maria Carla (Editor), Tucci, Salvatore (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
Edition:	1st ed. 2002.
Series:	Lecture Notes in Computer Science, 2459 Springer eBook Collection.
Subjects:	Computers. Computer system failures. Computer communication systems. Software engineering. Operating systems (Computers). Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

G-Networks: Multiple Classes of Positive Customers, Signals, and Product Form Results
Spectral Expansion Solutions for Markov-Modulated Queues
M/G/1-Type Markov Processes: A Tutorial
An Algorithmic Approach to Stochastic Bounds
Dynamic Scheduling via Polymatroid Optimization
Workload Modeling for Performance Evaluation
Capacity Planning for Web Services Techniques and Methodology
End-to-End Performance of Web Services
Benchmarking
Benchmarking Models and Tools for Distributed Web-Server Systems
Stochastic Process Algebra: From an Algebraic Formalism to an Architectural Description Language
Automated Performance and Dependability Evaluation Using Model Checking
Measurement-Based Analysis of System Dependability Using Fault Injection and Field Failure Data
Software Reliability and Rejuvenation: Modeling and Analysis
Performance Validation of Mobile Software Architectures
Performance Issues of Multimedia Applications
Markovian Modeling of Real Data Traffic: Heuristic Phase Type and MAP Fitting of Heavy Tailed and Fractal Like Samples
Optimization of Bandwidth and Energy Consumption in Wireless Local Area Networks
Service Centric Computing - Next Generation Internet Computing
European DataGrid Project: Experiences of Deploying a Large Scale Testbed for E-science Applications.

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