Adaptive, Dynamic, and Resilient Systems: 1st Edition (Hardback) book cover

Adaptive, Dynamic, and Resilient Systems

1st Edition

Edited by Niranjan Suri, Giacomo Cabri

Auerbach Publications

378 pages | 99 B/W Illus.

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pub: 2014-06-23
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As the complexity of today’s networked computer systems grows, they become increasingly difficult to understand, predict, and control. Addressing these challenges requires new approaches to building these systems. Adaptive, Dynamic, and Resilient Systems supplies readers with various perspectives of the critical infrastructure that systems of networked computers rely on. It introduces the key issues, describes their interrelationships, and presents new research in support of these areas.

The book presents the insights of a different group of international experts in each chapter. Reporting on recent developments in adaptive systems, it begins with a survey of application fields. It explains the requirements of such fields in terms of adaptation and resilience. It also provides some abstract relationship graphs that illustrate the key attributes of distributed systems to supply you with a better understanding of these factors and their dependencies.

The text examines resilient adaptive systems from the perspectives of mobile, infrastructure, and enterprise systems and protecting critical infrastructure. It details various approaches for building adaptive, dynamic, and resilient systems—including agile, grid, and autonomic computing; multi-agent-based and biologically inspired approaches; and self-organizing systems.

The book includes many stories of successful applications that illustrate a diversified range of cutting-edge approaches. It concludes by covering related topics and techniques that can help to boost adaptation and resilience in your systems.

Table of Contents

Introduction; Giacomo Cabri and Niranjan Suri

Modeling Adaptive Software Systems; Marc-Philippe Huget

Service-Oriented Software Engineering Lifecycles: Methodologies and Operations for Adaptability in Enterprise Settings; M. Brian Blake and Peter Bartalos

On Measuring Resilience in Command and Control Architectures; Mark Pflanz and Alexander H. Levis

Resiliency and Robustness of Complex Systems and Networks; Alexander Kott and Tarek Abdelzaher

Resilient and Adaptive Networked Systems; Mauro Andreolini, Sara Casolari, Marcello Pietri, and Stefania Tosi

Bringing Adaptiveness and Resilience to e-Health; Marco Aiello, Ando Emerencia, and Henk G. Sol

Agile Computing; Niranjan Suri

A Pattern-Based Architectural Style for Self-Organizing Software Systems; Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo, Paul L. Snyder, and Giuseppe Valetto

Adaptation and Resilience of Self-Organizing Electronic Institutions; David Sanderson, Dídac Busquets, and Jeremy Pitt

Assessing the Resilience of Self-Organizing Systems: A Quantitative Approach; Matteo Risoldi, Jose Luis Fernandez Marquez, and Giovanna Di Marzo Serugendo

Leveraging ICT to Enable e-Maintenance for Automated Machines; Roberto Lazzarini, Cesare Stefanelli, and Mauro Tortonesi

Using Planning to Adapt to Dynamic Environments; Austin Tate

Policy-Based Governance of Complex Distributed Systems: What Past Trends Can Teach Us about Future Requirements; Jeffrey M. Bradshaw, Andrzej Uszok, and Rebecca Montanari

Markets and Clouds: Adaptive and Resilient Computational Resource Allocation Inspired by Economics; Peter R. Lewis, Funmilade Faniyi, Rami Bahsoon, and Xin Yao

Instrumentation-Based Resource Control; Alex Villazón and Walter Binder

About the Editor

Niranjan Suri is a research scientist at the Florida Institute for Human & Machine Cognition (IHMC) and also a visiting scientist at the U.S. Army Research Laboratory, Adelphi, Maryland. He received his Ph.D. in computer science from Lancaster University, England, and his M.Sc. and B.Sc. in computer science from the University of West Florida, Pensacola. His current research activity is focused on the notion of agile computing, which supports the opportunistic discovery and exploitation of resources in highly dynamic networked environments. His other research interests include coordination algorithms, distributed systems, networking, communication protocols, virtual machines, and software agents.

Giacomo Cabri received the Laurea degree in computer science engineering from the University of Bologna in July 1995. In February 2000 he received the PhD in information engineering from the Dipartimento di Scienze dell’Ingegneria of the Universita di Modena e Reggio Emilia. He received a research contract by the Dipartimento di Scienze dell’Ingegneria of the Universita di Modena e Reggio Emilia, from January 1, 2001, to October 31, 2001. From November 1, 2001, to December 20, 2006, he was a research associate at the Facolta di Ingegneria of the Universita degli studi di Modena e Reggio Emilia, SSD ING-INF/05, position confirmed from November 1, 2004. From December 21, 2006, he has been an Associate Professor, SSD ING-INF/05 and his affiliation is the Dipartimento di Scienze Fisiche, Informatiche e Matematiche of the Universita di Modena e Reggio Emilia. He teaches different courses in the field of computer science and information technology, both basic ones and advanced ones. His research activities are mainly related to the following areas:

  • Agents: base models and coordination protocols
  • Autonomic computing
  • Web applications
  • Mobile computing

In these areas, he has published around 140 papers in international and national journals and in international and national proceedings and he has received six best paper awards. He is (and has been) involved in international and national projects. He is member of several program committees of international conferences; he is and has been chair of several international workshops; and he has been general chair of IEEE WETICE 2004, of ACM PPPJ 2008, and of IEEE WETICE 2014. For more information, see the web page:

About the Series

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Software Development & Engineering / General
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TECHNOLOGY & ENGINEERING / Engineering (General)