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Analytical and Stochastic Modeling Techniques and Applications
17th International Conference, ASMTA 2010, Cardiff, UK, June 14-16, 2010, Proceedings
herausgegeben von Khalid Al-Begain, Dieter Fiems und William KnottenbeltInhaltsverzeichnis
- Queueing Theory I.
- A Batch-Service Queueing Model with a Discrete Batch Markovian Arrival Process.
- Queueing System MAP/PH/N with Propagated Failures.
- Analysis of a Discrete-Time Queueing System with an NT-Policy.
- Packet Loss Minimization in Load-Balancing Switch.
- Queueing Theory II.
- The Preemptive Repeat Hybrid Server Interruption Model.
- Networks of Symmetric Multi-class Queues with Signals Changing Classes.
- Product-Form Solutions for Models with Joint-State Dependent Transition Rates.
- The qnetworks Toolbox: A Software Package for Queueing Networks Analysis.
- Specification Languages and Tools.
- Rewriting Logic Based Performance Estimation of Embedded Systems.
- A Formal Language toward the Unification of Model Checking and Performance Evaluation.
- Security Evaluation of Layered Intrusion Tolerant Systems.
- Stochastic PERT and CAST Logic Approach for Computer Support of Complex Operation Planning.
- Telecommunication Systems I.
- Perfect Sampling of Load Sharing Policies in Large Scale Distributed Systems.
- Stochastic Comparisons for Performability of Telecommunication Systems.
- Model-Based Stochastic Simulation of P2P VoIP Using Graph Transformation System.
- Performance Evaluation of Media Segmentation Heuristics Using Non-markovian Multi-class Arrival Processes.
- Telecommmunication Systems II.
- A Formal Approach to Investigate the Performance of Modern E-commerce Services.
- Leader Election in Anonymous Radio Networks: Model Checking Energy Consumption.
- Upper Bound on Overall Delay in Wireless Broadband Networks with Non Real-Time Traffic.
- Estimation.
- Robustness of the Whittle Estimator Applied to Non-Gaussian Long-Range Dependent Processes.
- Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm.
- Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions.
- Prediction.
- Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment.
- Prediction-Based Dynamic Target Interception Using Discrete Markov Chains.
- Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.
- Stochastic Modelling.
- Limit Behavior of the Hybrid Approximation of Stochastic Process Algebras.
- Analysis of an Automated Auction with Concurrent Multiple Unit Acceptance Capacity.
- Congestive Collapse and Its Avoidance in a Dynamic Dial-a-Ride System with Time Windows.