An Introduction To Self Adaptive Systems

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An Introduction to Self-adaptive Systems

Danny Weyns
An Introduction to Self adaptive Systems Book PDF

Author : Danny Weyns
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 44,9 Mb
Release : 2020-10-05
Category : Technology & Engineering
ISBN : 9781119574941

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An Introduction to Self-adaptive Systems by Danny Weyns Pdf

A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective provides readers with an accessible set of basic principles, engineering foundations, and applications of self-adaptation in software-intensive systems. It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software engineering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emerging, and future systems. The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and strategically effective guide to self-adaptation. He includes features such as: An analysis of the foundational engineering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems End-of-chapter exercises at four different levels of complexity and difficulty An accompanying author-hosted website with slides, selected exercises and solutions, models, and code Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software engineering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its engineering.

Introduction to Evolvable Hardware

Garrison W. Greenwood,Andrew M. Tyrrell
Introduction to Evolvable Hardware Book PDF

Author : Garrison W. Greenwood,Andrew M. Tyrrell
Publisher : John Wiley & Sons
Page : 210 pages
File Size : 40,5 Mb
Release : 2006-10-27
Category : Computers
ISBN : 9780470049709

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Introduction to Evolvable Hardware by Garrison W. Greenwood,Andrew M. Tyrrell Pdf

Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems provides a fundamental introduction for engineers, designers, and managers involved in the development of adaptive, high reliability systems. It also introduces the concepts of evolvable hardware (EHW) to new researchers in a structured way. With this practical book, you’ll be able to quickly apply the techniques presented to existing design problems.

Software Engineering for Self-Adaptive Systems

Betty H. C. Cheng,Rogério de Lemos,Paola Inverardi,Jeff Magee
Software Engineering for Self Adaptive Systems Book PDF

Author : Betty H. C. Cheng,Rogério de Lemos,Paola Inverardi,Jeff Magee
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 54,7 Mb
Release : 2009-06-19
Category : Computers
ISBN : 9783642021602

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Software Engineering for Self-Adaptive Systems by Betty H. C. Cheng,Rogério de Lemos,Paola Inverardi,Jeff Magee Pdf

The carefully reviewed papers in this state-of-the-art survey describe a wide range of approaches coming from different strands of software engineering, and look forward to future challenges facing this ever-resurgent and exacting field of research.

An Introduction to Self-adaptive Systems

Danny Weyns
An Introduction to Self adaptive Systems Book PDF

Author : Danny Weyns
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 48,7 Mb
Release : 2020-10-19
Category : Technology & Engineering
ISBN : 9781119574927

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An Introduction to Self-adaptive Systems by Danny Weyns Pdf

A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective provides readers with an accessible set of basic principles, engineering foundations, and applications of self-adaptation in software-intensive systems. It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software engineering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emerging, and future systems. The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and strategically effective guide to self-adaptation. He includes features such as: An analysis of the foundational engineering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems End-of-chapter exercises at four different levels of complexity and difficulty An accompanying author-hosted website with slides, selected exercises and solutions, models, and code Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software engineering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its engineering.

Self-Adaptive Systems for Machine Intelligence

Haibo He
Self Adaptive Systems for Machine Intelligence Book PDF

Author : Haibo He
Publisher : John Wiley & Sons
Page : 189 pages
File Size : 49,6 Mb
Release : 2011-09-15
Category : Computers
ISBN : 9781118025598

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Self-Adaptive Systems for Machine Intelligence by Haibo He Pdf

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

Complex Adaptive Systems

John H. Miller,Scott E. Page
Complex Adaptive Systems Book PDF

Author : John H. Miller,Scott E. Page
Publisher : Princeton University Press
Page : 285 pages
File Size : 52,7 Mb
Release : 2009-11-28
Category : Social Science
ISBN : 9781400835522

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Complex Adaptive Systems by John H. Miller,Scott E. Page Pdf

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Software Engineering for Self-Adaptive Systems III. Assurances

Rogério de Lemos,David Garlan,Carlo Ghezzi,Holger Giese
Software Engineering for Self Adaptive Systems III Assurances Book PDF

Author : Rogério de Lemos,David Garlan,Carlo Ghezzi,Holger Giese
Publisher : Springer
Page : 435 pages
File Size : 42,8 Mb
Release : 2018-01-16
Category : Computers
ISBN : 9783319741833

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Software Engineering for Self-Adaptive Systems III. Assurances by Rogério de Lemos,David Garlan,Carlo Ghezzi,Holger Giese Pdf

A major challenge for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, energy-efficient, customizable, and configurable when reacting to run-time changes that may occur within the system itself, its environment or requirements. One of the most promising approaches to achieving such properties is to equip the software system with self-adaptation capabilities. Despite recent advances in this area, one key aspect that remains to be tackled in depth is the provision of assurances. Originating from a Dagstuhl seminar held in December 2013, this book constitutes the third volume in the series “Software Engineering for Self-Adaptive Systems”, and looks specifically into the provision of assurances. Opening with an overview chapter on Research Challenges, the book presents 13 further chapters written and carefully reviewed by internationally leading researchers in the field. The book is divided into topical sections on research challenges, evaluation, integration and coordination, and reference architectures and platforms.

Self-Adaptive Software

Robert Laddaga,Paul Robertson,Howie Shrobe
Self Adaptive Software Book PDF

Author : Robert Laddaga,Paul Robertson,Howie Shrobe
Publisher : Springer
Page : 296 pages
File Size : 50,7 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540365549

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Self-Adaptive Software by Robert Laddaga,Paul Robertson,Howie Shrobe Pdf

The 18 revised full papers presented in this book together with an introductory survey were carefully reviewed and constitute the documentation of the Second International Workshop on Self-adaptive Software, IWSAS 2001, held in Balatonfüred, Hungary in May 2001. Self-adaptive software evaluates its own behavior and changes it when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality or better performance is possible. The self-adaptive approach in software engineering builds on well known dynamic features familiar to Lisp or Java programmes and aims at improving the robustness of software systems by gradually adding new features of self-adaption or autonomy.

Stable Adaptive Systems

Kumpati S. Narendra,Anuradha M. Annaswamy
Stable Adaptive Systems Book PDF

Author : Kumpati S. Narendra,Anuradha M. Annaswamy
Publisher : Courier Corporation
Page : 514 pages
File Size : 50,7 Mb
Release : 2012-07-12
Category : Science
ISBN : 9780486141428

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Stable Adaptive Systems by Kumpati S. Narendra,Anuradha M. Annaswamy Pdf

This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation of well-known results establishes the close connections between seemingly independent developments in the field. Prerequisites include a knowledge of linear algebra and differential equations, as well as a familiarity with basic concepts in linear systems theory. The first chapter sets the tone for the entire book, introducing basic concepts and tracing the evolution of the field from the 1960s through the 1980s. The first seven chapters are accessible to beginners, and the final four chapters are geared toward more advanced, research-oriented students. Problems ranging in complexity from relatively easy to quite difficult appear throughout the text. Topics include results in stability theory that emphasize incidents directly relevant to the study of adaptive systems; the stability properties of adaptive observers and controllers; the important concept of persistent excitation; the use of error models in systems analysis; areas of intense research activity; and five detailed case studies of systems in which adaptive control has proved successful

Intelligent Adaptive Systems

Ming Hou,Simon Banbury,Catherine Burns
Intelligent Adaptive Systems Book PDF

Author : Ming Hou,Simon Banbury,Catherine Burns
Publisher : CRC Press
Page : 336 pages
File Size : 50,6 Mb
Release : 2014-12-02
Category : Computers
ISBN : 9781466517240

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Intelligent Adaptive Systems by Ming Hou,Simon Banbury,Catherine Burns Pdf

As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.

Software Engineering for Self-Adaptive Systems

Rogério de Lemos,Holger Giese,Hausi A. Müller,Mary Shaw
Software Engineering for Self Adaptive Systems Book PDF

Author : Rogério de Lemos,Holger Giese,Hausi A. Müller,Mary Shaw
Publisher : Springer
Page : 393 pages
File Size : 45,6 Mb
Release : 2013-01-03
Category : Computers
ISBN : 9783642358135

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Software Engineering for Self-Adaptive Systems by Rogério de Lemos,Holger Giese,Hausi A. Müller,Mary Shaw Pdf

Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of self-adaptive systems that are able to adapt to internal faults, changing requirements, and evolving environments. The 15 carefully reviewed papers included in this state-of-the-art survey were presented at the International Seminar on "Software Engineering for Self-Adaptive Systems", held in Dagstuhl Castle, Germany, in October 2010. Continuing the course of the first book of the series on "Software Engineering for Self-Adaptive Systems" the collection of papers in this second volume comprises a research roadmap accompanied by four elaborating working group papers. Next there are two parts - with three papers each - entitled "Requirements and Policies" and "Design Issues"; part four of the book contains four papers covering a wide range of "Applications".

Complexity

John Henry Holland
Complexity Book PDF

Author : John Henry Holland
Publisher : Oxford University Press, USA
Page : 121 pages
File Size : 55,6 Mb
Release : 2014
Category : History
ISBN : 9780199662548

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Complexity by John Henry Holland Pdf

In this very short introduction, John Holland presents an introduction to the science of complexity. Using examples from biology and economics, he shows how complexity science models the behaviour of complex systems.

Principles of Adaptive Filters and Self-learning Systems

Anthony Zaknich
Principles of Adaptive Filters and Self learning Systems Book PDF

Author : Anthony Zaknich
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 52,8 Mb
Release : 2005-08-19
Category : Technology & Engineering
ISBN : 9781846281211

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Principles of Adaptive Filters and Self-learning Systems by Anthony Zaknich Pdf

Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems

Adaptive Control Design and Analysis

Gang Tao
Adaptive Control Design and Analysis Book PDF

Author : Gang Tao
Publisher : John Wiley & Sons
Page : 652 pages
File Size : 49,9 Mb
Release : 2003-07-09
Category : Science
ISBN : 0471274526

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Adaptive Control Design and Analysis by Gang Tao Pdf

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.

Self-Aware Computing Systems

Samuel Kounev,Jeffrey O. Kephart,Aleksandar Milenkoski,Xiaoyun Zhu
Self Aware Computing Systems Book PDF

Author : Samuel Kounev,Jeffrey O. Kephart,Aleksandar Milenkoski,Xiaoyun Zhu
Publisher : Springer
Page : 722 pages
File Size : 42,6 Mb
Release : 2017-01-23
Category : Computers
ISBN : 9783319474748

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Self-Aware Computing Systems by Samuel Kounev,Jeffrey O. Kephart,Aleksandar Milenkoski,Xiaoyun Zhu Pdf

This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.