Smart Computing And Self Adaptive Systems

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Smart Computing and Self-Adaptive Systems

Author : Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar
Publisher : CRC Press
Page : 289 pages
File Size : 49,8 Mb
Release : 2021-12-19
Category : Computers
ISBN : 9781000509946

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Smart Computing and Self-Adaptive Systems by Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar Pdf

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

Smart Computing and Self-Adaptive Systems

Author : Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar
Publisher : CRC Press
Page : 328 pages
File Size : 46,9 Mb
Release : 2021-12-19
Category : Computers
ISBN : 9781000509977

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Smart Computing and Self-Adaptive Systems by Simar Preet Singh,Arun Solanki,Anju Sharma,Zdzislaw Polkowski,Rajesh Kumar Pdf

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

An Introduction to Self-adaptive Systems

Author : Danny Weyns
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 41,9 Mb
Release : 2020-10-07
Category : Technology & Engineering
ISBN : 9781119574934

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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

Author : Haibo He
Publisher : John Wiley & Sons
Page : 189 pages
File Size : 47,8 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.

Software Engineering for Self-Adaptive Systems

Author : Betty H. C. Cheng,Rogério de Lemos,Paola Inverardi,Jeff Magee
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 44,5 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.

Software Engineering for Self-Adaptive Systems III. Assurances

Author : Rogério de Lemos,David Garlan,Carlo Ghezzi,Holger Giese
Publisher : Springer
Page : 435 pages
File Size : 52,8 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-Aware Computing Systems

Author : Samuel Kounev,Jeffrey O. Kephart,Aleksandar Milenkoski,Xiaoyun Zhu
Publisher : Springer
Page : 722 pages
File Size : 47,5 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.

Software Engineering for Self-Adaptive Systems

Author : Rogério de Lemos,Holger Giese,Hausi A. Müller,Mary Shaw
Publisher : Springer
Page : 393 pages
File Size : 48,8 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".

Do Smart Adaptive Systems Exist?

Author : Bogdan Gabrys,Kauko Leiviskä,Jens Strackeljan
Publisher : Springer
Page : 370 pages
File Size : 52,9 Mb
Release : 2006-07-11
Category : Technology & Engineering
ISBN : 9783540323747

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Do Smart Adaptive Systems Exist? by Bogdan Gabrys,Kauko Leiviskä,Jens Strackeljan Pdf

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.

Intelligent Adaptive Systems

Author : Ming Hou,Simon Banbury,Catherine Burns
Publisher : CRC Press
Page : 336 pages
File Size : 41,6 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.

Engineering Adaptive Software Systems

Author : Yijun Yu,Arosha Bandara,Shinichi Honiden,Zhenjiang Hu,Tetsuo Tamai,Hausi Muller,John Mylopoulos,Bashar Nuseibeh
Publisher : Springer
Page : 169 pages
File Size : 44,9 Mb
Release : 2019-01-14
Category : Computers
ISBN : 9789811321856

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Engineering Adaptive Software Systems by Yijun Yu,Arosha Bandara,Shinichi Honiden,Zhenjiang Hu,Tetsuo Tamai,Hausi Muller,John Mylopoulos,Bashar Nuseibeh Pdf

This book discusses the problems and challenges in the interdisciplinary research field of self-adaptive software systems. Modern society is increasingly filled with software-intensive systems, which are required to operate in more and more dynamic and uncertain environments. These systems must monitor and control their environment while adapting to meet the requirements at runtime. This book provides promising approaches and research methods in software engineering, system engineering, and related fields to address the challenges in engineering the next-generation adaptive software systems. The contents of the book range from design and engineering principles (Chap. 1) to control–theoretic solutions (Chap. 2) and bidirectional transformations (Chap. 3), which can be seen as promising ways to implement the functional requirements of self-adaptive systems. Important quality requirements are also dealt with by these approaches: parallel adaptation for performance (Chap. 4), self-adaptive authorization infrastructure for security (Chap. 5), and self-adaptive risk assessment for self-protection (Chap. 6). Finally, Chap. 7 provides a concrete self-adaptive robotics operating system as a testbed for self-adaptive systems. The book grew out of a series of the Shonan Meetings on this ambitious topic held in 2012, 2013, and 2015. The authors were active participants in the meetings and have brought in interesting points of view. After several years of reflection, they now have been able to crystalize the ideas contained herein and collaboratively pave the way for solving some aspects of the research problems. As a result, the book stands as a milestone to initiate further progress in this promising interdisciplinary research field.

Organic Computing – Technical Systems for Survival in the Real World

Author : Christian Müller-Schloer,Sven Tomforde
Publisher : Birkhäuser
Page : 578 pages
File Size : 45,6 Mb
Release : 2017-12-28
Category : Computers
ISBN : 9783319684772

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Organic Computing – Technical Systems for Survival in the Real World by Christian Müller-Schloer,Sven Tomforde Pdf

This book is a comprehensive introduction into Organic Computing (OC), presenting systematically the current state-of-the-art in OC. It starts with motivating examples of self-organising, self-adaptive and emergent systems, derives their common characteristics and explains the fundamental ideas for a formal characterisation of such systems. Special emphasis is given to a quantitative treatment of concepts like self-organisation, emergence, autonomy, robustness, and adaptivity. The book shows practical examples of architectures for OC systems and their applications in traffic control, grid computing, sensor networks, robotics, and smart camera systems. The extension of single OC systems into collective systems consisting of social agents based on concepts like trust and reputation is explained. OC makes heavy use of learning and optimisation technologies; a compact overview of these technologies and related approaches to self-organising systems is provided. So far, OC literature has been published with the researcher in mind. Although the existing books have tried to follow a didactical concept, they remain basically collections of scientific papers. A comprehensive and systematic account of the OC ideas, methods, and achievements in the form of a textbook which lends itself to the newcomer in this field has been missing so far. The targeted reader of this book is the master student in Computer Science, Computer Engineering or Electrical Engineering - or any other newcomer to the field of Organic Computing with some technical or Computer Science background. Readers can seek access to OC ideas from different perspectives: OC can be viewed (1) as a „philosophy“ of adaptive and self-organising - life-like - technical systems, (2) as an approach to a more quantitative and formal understanding of such systems, and finally (3) a construction method for the practitioner who wants to build such systems. In this book, we first try to convey to the reader a feeling of the special character of natural and technical self-organising and adaptive systems through a large number of illustrative examples. Then we discuss quantitative aspects of such forms of organisation, and finally we turn to methods of how to build such systems for practical applications.

Software Engineering for Self-adaptive Systems

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 47,6 Mb
Release : 2009
Category : Self-adaptive software
ISBN : 8364202162

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Software Engineering for Self-adaptive Systems by Anonim 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 recognised its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed. The 12 carefully reviewed papers included in thisstate-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming from different strands of software engineering, and present future challenges facing this ever-resurgent and challenging field of research. Also included in this book is an invited roadmap paper on theresearch challenges facing self-adaptive systems withinthe area of software engineering, based on discussionsat the Dagstuhl Seminar and put together by several of its participants. The papers have been divided into topical sections onarchitecture-based self-adaptation, context-aware and model-driven self-adaptation, and self-healing. These are preceded by three research roadmap papers.

Soft Computing for Security Applications

Author : G. Ranganathan,Xavier Fernando,Selwyn Piramuthu
Publisher : Springer Nature
Page : 754 pages
File Size : 54,6 Mb
Release : 2022-09-29
Category : Technology & Engineering
ISBN : 9789811935909

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Soft Computing for Security Applications by G. Ranganathan,Xavier Fernando,Selwyn Piramuthu Pdf

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.

Adaptive, Dynamic, and Resilient Systems

Author : Niranjan Suri,Giacomo Cabri
Publisher : CRC Press
Page : 380 pages
File Size : 55,5 Mb
Release : 2014-06-23
Category : Computers
ISBN : 9781439868485

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Adaptive, Dynamic, and Resilient Systems by Niranjan Suri,Giacomo Cabri Pdf

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.