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Analytical and Stochastic Modeling Techniques and Applications

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Cover of 'Analytical and Stochastic Modeling Techniques and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Batch-Service Queueing Model with a Discrete Batch Markovian Arrival Process
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    Chapter 2 Queueing System MAP / PH / N with Propagated Failures
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    Chapter 3 Analysis of a Discrete-Time Queueing System with an NT-Policy
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    Chapter 4 Packet Loss Minimization in Load-Balancing Switch
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    Chapter 5 The Preemptive Repeat Hybrid Server Interruption Model
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    Chapter 6 Networks of Symmetric Multi-class Queues with Signals Changing Classes
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    Chapter 7 Product-Form Solutions for Models with Joint-State Dependent Transition Rates
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    Chapter 8 The qnetworks Toolbox: A Software Package for Queueing Networks Analysis
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    Chapter 9 Rewriting Logic Based Performance Estimation of Embedded Systems
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    Chapter 10 A Formal Language toward the Unification of Model Checking and Performance Evaluation
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    Chapter 11 Security Evaluation of Layered Intrusion Tolerant Systems
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    Chapter 12 Stochastic PERT and CAST Logic Approach for Computer Support of Complex Operation Planning
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    Chapter 13 Perfect Sampling of Load Sharing Policies in Large Scale Distributed Systems
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    Chapter 14 Stochastic Comparisons for Performability of Telecommunication Systems
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    Chapter 15 Model-Based Stochastic Simulation of P2P VoIP Using Graph Transformation System
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    Chapter 16 Performance Evaluation of Media Segmentation Heuristics Using Non-markovian Multi-class Arrival Processes
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    Chapter 17 A Formal Approach to Investigate the Performance of Modern E-commerce Services
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    Chapter 18 Leader Election in Anonymous Radio Networks: Model Checking Energy Consumption
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    Chapter 19 Upper Bound on Overall Delay in Wireless Broadband Networks with Non Real-Time Traffic
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    Chapter 20 Robustness of the Whittle Estimator Applied to Non-Gaussian Long-Range Dependent Processes
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    Chapter 21 Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm
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    Chapter 22 Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions
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    Chapter 23 Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment
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    Chapter 24 Prediction-Based Dynamic Target Interception Using Discrete Markov Chains
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    Chapter 25 Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
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    Chapter 26 Limit Behavior of the Hybrid Approximation of Stochastic Process Algebras
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    Chapter 27 Analysis of an Automated Auction with Concurrent Multiple Unit Acceptance Capacity
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    Chapter 28 Congestive Collapse and Its Avoidance in a Dynamic Dial-a-Ride System with Time Windows
Attention for Chapter 13: Perfect Sampling of Load Sharing Policies in Large Scale Distributed Systems
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Chapter title
Perfect Sampling of Load Sharing Policies in Large Scale Distributed Systems
Chapter number 13
Book title
Analytical and Stochastic Modeling Techniques and Applications
Published by
Springer, Berlin, Heidelberg, June 2010
DOI 10.1007/978-3-642-13568-2_13
Book ISBNs
978-3-64-213567-5, 978-3-64-213568-2
Authors

Gaël Gorgo, Jean-Marc Vincent

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Researcher 2 40%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Computer Science 5 100%