Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environment using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.

Autonomic computing and networking (ACN), a concept inspired by the human autonomic system, is a priority research area and a booming new paradigm in the field. Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification outlines the characteristics, novel approaches of specification, refinement, programming and verification associated with ACN. The goal of ACN and the topics covered in this work include making networks and computers more self-organized, self- configured, self-healing, self-optimizing, self-protecting, and more. This book helpfully details the steps necessary towards realizing computer and network autonomy and its implications.

This book introduces the concept of autonomic computing driven cooperative networked system design from an architectural perspective. As such it leverages and capitalises on the relevant advancements in both the realms of autonomic computing and networking by welding them closely together. In particular, a multi-faceted Autonomic Cooperative System Architectural Model is defined which incorporates the notion of Autonomic Cooperative Behaviour being orchestrated by the Autonomic Cooperative Networking Protocol of a cross-layer nature. The overall proposed solution not only advocates for the inclusion of certain Decision Making Entities, but it also provides all the necessary implementation guidelines along with the pertinent standardisation orientated insight.

This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.

Autonomic Intelligence Evolved Cooperative Networking offers a comprehensive advancement of the state-of-the art technological developments in the fields of Cooperative Networking and Autonomic Computing. Based on his track record in industrial standardisation, as well as academic and applied research, the author presents a fully-fledged Autonomic Cooperative Networking Architectural Model that encompasses the relevant workings of both the Layers of the Open Systems Interconnection Reference Model and the Levels of the Generic Autonomic Network Architecture. .

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.

"This multiple-volume publication advances the emergent field of mobile computing offering research on approaches, observations and models pertaining to mobile devices and wireless communications from over 400 leading researchers"--Provided by publisher.

What Is Autonomic Computing Autonomic computing (AC) refers to the utilization of distributed computing resources that have self-management qualities. These resources can adjust to changes that are unpredictable while masking the fundamental complexity from users and operators. This endeavor, which was started by IBM in 2001, has as its ultimate goal the creation of computer systems that are capable of managing themselves, the overcoming of the constantly increasing complexity of managing computing systems, and the reduction of the barrier that complexity poses to further expansion. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Autonomic computing Chapter 2: List of computer scientists Chapter 3: Algorithmic efficiency Chapter 4: Outline of computer science Chapter 5: Self-management (computer science) Chapter 6: Autonomic networking Chapter 7: Computer cluster Chapter 8: Cloud computing Chapter 9: Policy-based management Chapter 10: Glossary of artificial intelligence (II) Answering the public top questions about autonomic computing. (III) Real world examples for the usage of autonomic computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of autonomic computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of autonomic computing.

These proceedings contain the papers presented at the Third International ICST C- ference on Autonomic Computing and Communication Systems, Autonomics 2009, held at the Cyprus University of Technology, Limassol, Cyprus, during September 9–11, 2009. As for the previous editions of the conference, this year too the primary goal of the event was to allow people working in the areas of communication, design, progr- ming, use and fundamental limits of autonomics pervasive systems to meet and - change their ideas and experiences in the aforementioned issues. In maintaining the tradition of excellence of Autonomics, this year we accepted 11 high-quality papers out of 26 submitted and had 5 invited talks, covering various aspects of autonomic computing including applications, middleware, networking protocols, and evaluation. The wide interest in the autonomic systems is shown by the broad range of topics covered in the papers presented at the conference. All papers presented at the conf- ence are published here and some of them, which are considered particularly intere- ing, will be considered for publication in a special issue of the International Journal of Autonomics and Adaptive Communications Systems (IJAACS). The conference also hosted the First International Workshop on Agent-Based Social Simulation and Au- nomic Systems (ABSS@AS).

This book constitutes the proceedings of the 16th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2020. The 20 full and 3 short papers presented in this volume were carefully reviewed and selected from 110 submissions. In addition, the book included 6 invited papers. The contributions were organized in topical sections named: invited talks; concurrent and distributed systems modelling and verification; cloud and grid computing; social networks, machine learning and mobile networks; data processing and blockchain technology; and short papers.