This book constitutes the refereed proceedings of the 11th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2000, held in Austin, TX, USA in December 2000. The 21 revised full papers presented were carefully reviewed and selected from a total of 65 submissions. The book is divided into topical sections on architectures for internet management, fault management of services and networks, inter-domain management, event handling for management services, QoS management, and management architectures.
"This book "quality of service" in organizations, offering fundamental knowledge on the subject, describing the significance of network management and the integration of knowledge to demonstrate how network management is related to QoS in real applications"--Provided by publisher.
COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.
If you want an up-to-date, in-depth understanding of next generation intelligent networks (IN), this book is essential reading. It provides you with a comprehensive survey of current and emerging intelligent telecommunications networks, including underlying software, implementation, deployment and standards. It assesses the influence of mobile networks and IP technology on the directions that IN is taking now, and looks at the way middleware is reducing the dependence of service logic on the underlying network protocols. Moreover, it discusses the role of IN in tomorrowOCOs network."
The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages. Intelligent Network Management and Control deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment. This book also focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.
Substantial new breakthroughs are happening in telecommunications technology. This volume presents a state-of-the-art review of the current research activities in intelligent network technology. It contains the proceedings of a workshop on intelligent networks organized by the International Federation of Information Processsing and held as part of the Third Summer School on Telecommunications in Lappeenranta, Finland, August 1994.
This book explains the principles of intelligent telecommunications networks and illustrates them with many practical examples of applications. Although international standards are beginning to emerge, they are far from simple and this text offers insight into the underlying principles.
International Conference Intelligent Network and Intelligence in Networks (2IN97) French Ministry of Telecommunication, 20 Avenue de Segur, Paris -France September 2-5, 1997 Organizer: IFIP WG 6.7 -Intelligent Networks Sponsorship: IEEE, Alcatel, Ericsson, France Telecom, Nokia, Nordic Teleoperators, Siemens, Telecom Finland, Lab. PRiSM Aim of the conference To identify and study current issues related to the development of intelligent capabilities in networks. These issues include the development and distribution of services in broadband and mobile networks. This conference belongs to a series of IFIP conference on Intelligent Network. The first one took place in Lappeeranta August 94, the second one in Copenhagen, August 95. The proceedings of both events have been published by Chapman&Hall. IFIP Working Group 6.7 on IN has concentrated with the research and development of Intelligent Networks architectures. First the activities have concentrated in service creation, service management, database issues, feature interaction, IN performance and advanced signalling for broadband services. Later on the research activities have turned towards the distribution of intelligence in networks and IN applications to multimedia and mobility. The market issues of new services have also been studied. From the system development point of view, topics from OMG and TINA-C have been considered.
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Intelligent Broadband Multimedia Networks is a non-mathematical, but highly systems oriented, coverage of modern intelligent information networks. This volume focuses on the convergence of computers and communications technologies. Most of the concepts that are generic to all intelligent networks, and their microscopic and macroscopic functions, are presented. This book includes specific architectures that can be used by network designers and planners, telecommunications managers, computer scientists, and telecommunications professionals. The breadth of this coverage and the systems orientation of this work make the text suitable for use in advanced level courses on intelligent communications networks. The material in this volume ranges from defining intelligent networks to more specific coverage of educational, medical, and knowledge-based networks. Each of the 20 chapters address issues that can help make the transition from computer design, to the underlying concepts of modern telecommunications systems, to considerations necessary for the implementation of intelligent network services. Special and timely coverage of emerging technologies, such as HDSL, ADSL, BISDN, wireless, broadband access, ATM, and other topics, are given expanded treatment. The authors have included design methodologies for installing intelligence into almost any communications systems, and procedures for using such intelligence according to the type of function expected from these networks. Unique features of the book are: a 64-page glossary of key terms (with expanded explanations) used in the field, a 23-page index that makes it easy to search for important information, running headers on each page to help the busy professional use the book as a reference/design tool, complete references including additional reading for more detailed information, and accurate and concise information to help telecommunications professionals understand the intricacies of the field.
