Performability Measures of the Public Mobile Network of a Tele Control System 1st Edition by Ester Ciancamerla, Michele Minichino ISBN 9783540301387

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ISBN 10: 
ISBN 13: 9783540301387
Author: Ester Ciancamerla, Michele Minichino

Performability measures of the Public Mobile Network (PMN) of a Tele Control System, under prototypal development inside the EU SAFETUNNEL Project, are predicted by using stochastic models. The Tele Control System has the aim of reducing the number of accidents inside the alpine road tunnels, by implementing safety policies between Instrumented Vehicles and a Tunnel Control Centre, by means of a PMN. The use of the PMN, which supports both Global System Mobile (GSM), for voice connections, and the General Packet Radio Service (GPRS), for data connections, represents the most innovative and challenging research aspect of the system. To compute performability measures for voice and data services, we built modular sub models, hierarchically composed, by using Stochastic Activity Networks (SAN). At the first layer , we have built three sub models to compute pure unavailability and pure performance measures. Then, at the second layer, we have built two composed models. Each composed model joins the pure availability sub model and the related pure performance sub model, in order to compute performability measures, respectively for voice and data packet services.

Performability Measures of the Public Mobile Network of a Tele Control System 1st Table of contents:

• Introduction

  • 1.1 Overview of Public Mobile Networks
  • 1.2 The Role of Tele Control Systems in Critical Infrastructure
  • 1.3 Importance of Performability Measures in Network Evaluation
  • 1.4 Objectives of the Study
  • 1.5 Structure of the Book/Paper

• Background and Concepts

  • 2.1 Tele Control Systems: Principles and Applications
  • 2.2 Public Mobile Networks: Architecture and Technologies
  • 2.3 Definition of Performability in Network Systems
  • 2.4 Reliability, Availability, and Maintainability (RAM) Metrics
  • 2.5 The Role of Performability in Network Performance Analysis

• Performability Measures: Theory and Methods

  • 3.1 Introduction to Performability Analysis
  • 3.2 Modeling System Performance and Reliability
  • 3.3 Performability Metrics: Definitions and Calculations
  • 3.4 Queuing Theory and Markov Models in Performability Evaluation
  • 3.5 Trade-offs Between Reliability and Performance in Network Design

• Tele Control Systems in Public Mobile Networks

  • 4.1 Design and Components of Tele Control Systems
  • 4.2 Tele Control Systems in Mobile Networks: Use Cases and Challenges
  • 4.3 Impact of Mobile Network Performance on Tele Control Systems
  • 4.4 Quality of Service (QoS) Requirements in Tele Control Systems
  • 4.5 Redundancy, Fault Tolerance, and Network Resilience

• Performability Evaluation Framework

  • 5.1 Framework for Assessing Performability in Mobile Networks
  • 5.2 Metrics for Evaluating Tele Control Systems in Public Mobile Networks
  • 5.3 Key Performance Indicators (KPIs) for Tele Control Systems
  • 5.4 Data Collection and Modeling Techniques
  • 5.5 Simulation and Analytical Approaches for Performability Analysis

• Case Study: Performability of a Public Mobile Network for Tele Control

  • 6.1 Overview of the Case Study Setup
  • 6.2 Methodology for Evaluating Network Performability
  • 6.3 Evaluation of Tele Control System Performance
  • 6.4 Data Analysis and Results
  • 6.5 Discussion of Findings and Key Insights

• Performance Degradation and Fault Tolerance

  • 7.1 Fault Models for Mobile Networks and Tele Control Systems
  • 7.2 Performance Degradation Under Fault Conditions
  • 7.3 Strategies for Fault Detection and Recovery in Tele Control Systems
  • 7.4 Impact of Faults on Performability Measures
  • 7.5 Redundancy and Self-Healing Mechanisms in Mobile Networks

• Optimization of Performability in Tele Control Systems

  • 8.1 Design Optimization for Improved Performability
  • 8.2 Load Balancing and Resource Allocation Techniques
  • 8.3 Network Capacity and Traffic Management
  • 8.4 Improving Tele Control System Fault Tolerance
  • 8.5 Use of Machine Learning for Performability Optimization

• Challenges and Future Directions

  • 9.1 Limitations of Current Performability Models and Metrics
  • 9.2 Scaling Performability Analysis for Large-Scale Networks
  • 9.3 Emerging Trends in Mobile Networks: 5G and Beyond
  • 9.4 Future Challenges in Tele Control Systems for Critical Infrastructure
  • 9.5 Opportunities for Further Research in Performability Measures

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