Adaptive, Dynamic, and Resilient Systems

Adaptive, Dynamic, and Resilient Systems

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ISBN 9781439868485
Cat# K13118
 

Features

  • Considers the human component of complex systems
  • Supplies the authoritative perspective of an international team of contributors
  • Examines resilient adaptive systems from the perspectives of mobile systems, infrastructure systems, enterprise systems, and protecting critical infrastructure
  • Illustrates cutting-edge developments in adaptive systems that address the need for resilient and dynamic environments
  • Details various approaches for building adaptive, dynamic, and resilient systems—including agile computing, multi-agent based, biologically-inspired approaches, grid computing, autonomic computing, ResiliNets, and self-organizing systems

Summary

Examining cutting-edge adaptive systems research, this book addresses the challenges of understanding, predicting, and controlling systems of networked computers, along with the human component behind these complex systems. The authors  unveil novel approaches to building adaptive, dynamic, and resilient systems—including agile computing, multi-agent based, biologically-inspired approaches, grid computing, autonomic computing, ResiliNets, and self-organizing systems.

Table of Contents

The Fundamentals
Perspectives on the problem
Different Approaches
Orthogonal Enabling Capabilities
Human System Integration
Addressing the Challenge of Understandability
Addressing the Challenge of Predictability
Addressing the Challenge of Controllability

Author Bio(s)

Niranjan Suri is a Research Scientist at the Florida Institute for Human & Machine Cognition. His research activity is focused on the notion of Agile Computing, as well as distributed systems, networking, communication protocols, virtual machines, and software agents.

Giacomo Cabri is Associate Professor at the Science Faculty of the University of Modena and Reggio Emilia. His research activities are mainly related to Software Agents; Mobile computing; Web applications; Object models, languages and environments.

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