Trustworthy Autonomic Computing (Hardcover)

The concept of autonomic computing seeks to reduce the complexity of pervasively ubiquitous system management and maintenance by shifting the responsibility for low-level tasks from humans to the system while allowing humans to concentrate on high-level tasks. This is achieved by building self-managing systems that are generally capable of self-configuring, self-healing, self-optimising, and self-protecting. Trustworthy autonomic computing technologies are being applied in datacentre and cloud management, smart cities and autonomous systems including driverless cars. However, there are still significant challenges to achieving trustworthiness. This book covers challenges and solutions in autonomic computing trustworthiness from methods and techniques to achieve consistent and reliable system self-management. Researchers, developers and users need to be confident that an autonomic self-managing system will remain correct in the face of any possible contexts and environmental inputs. The book is aimed at researchers in autonomic computing, autonomics and trustworthy autonomics. This will be a go-to book for foundational knowledge, proof of concepts and novel trustworthy autonomic techniques and approaches. It will be useful to lecturers and students of autonomic computing, autonomics and multi-agent systems who need an easy-to-use text with sample codes, exercises, use-case demonstrations. This is also an ideal tutorial guide for independent study with simple and well documented diagrams to explain techniques and processes.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Computing and Networks
Release date:	February 2023
First published:	2022
Authors:	Thaddeus Eze (Cybersecurity Senior Lecturer)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	264
ISBN-13:	978-1-78561-883-3
Categories:	Books > Computing & IT > Computer communications & networking > General Promotions
LSN:	1-78561-883-0
Barcode:	9781785618833

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