With the proliferation of ISDN and mobile communication systems, modern commu nication networks are becoming larger-scale, higher-speed, and more complex than ever before. Therefore, besides hardware development, extensive research on system technolo gies with respect to the performance evaluation and management is indispensable for the proper design, development and operation of future complex communication networks. The International Conference on the Performance and Management of Complex Com munication Systems (PMCCN '97) was held from November 17 to 21, 1997, at Tsukuba Science City, Japan. This was the fifth international conference on the performance as pects of communication networks held every three years in Japan (1985 in Tokyo; 1988, 1991, and 1994 in Kyoto). The conference was sponsored by the International Federa tion of Information Processing (IFIP) Working Group (WG) 6.3 Performance of Com munication Systems, and 7.3 Computer System Modelling, University of Tsukuba, Kyoto University, and The Telecommunication Advancement Foundation (TAF).

The advancement of key technologies in communication, such as optical and radio transmission, coding schemes, switching mechanisms etc. , has meant that communication networks are quickly growing to a larger-scale and higher speed than was ever anticipated. In terms of usage, Internet and real-time ap plications are expected to share a significant portion of the bandwidth in the next-generation of communication networks. Therefore, in order to achieve seamless and Quality of Service (QoS)-guaranteed transmission, regardless of source characteristics, extensive research into networking technologies is es sential. For the proper design, development and operation of emerging ideas on networking, further studies on the performance modeling and evaluation of networking are also encouraged. The International Conference on the Performance and QoS of Next Gen eration Networking (P&QNet2000) is being held from November 27 to 29, 2000, in Nagoya, Japan (Seto Campus of Nanzan University). This is the sixth international conference on the performance and other aspects of com munication networks. The conference is held once every three years in Japan (1985 in Tokyo; 1988, 1991, and 1994 in Kyoto; 1997 in Tsukuba). The confer ence is sponsored by the International Federation of Information Processing (IFIP) Working Group (WG) 6. 3 Performance of Communication Systems, 6. 4 High Performance Networking, and 7. 3 Computer System Modelling. Fi nancial supports are given by Commemorative Association for the Japan World Exposition (1970), Support Center for Advanced Telecommunications Technology Research, and Nanzan University.

This book presents revised versions of tutorial lectures given at the IEEE/CS symposium on modeling, analysis, and simulation of computer and telecommunication systems held in Orlando, FL, USA in October 2003. The lectures are grouped in three parts on performance and QoS of modern wired and wireless networks, current advances in performance modeling and simulation, and other specific applications of these methodologies. This tutorial book is targeted to both practitioners and researchers. The practitioner will benefit from numerous pointers to performance and QoS issues; the pedagogical style and plenty of references can be of great use in solving practical problems. The researcher and advanced student are offered a representative set of topics not only for their research value but also for their novelty and use in identifying areas of active research.

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.

Like the 120 volt standard for electricity, the appearance of standards in network management heralds new opportunities for creativity and achievement. As one example, within the framework of these evolving standards, consider a system of local area networks connecting computing equipment from different vendors. A bridge 1qc. k:8 up because of a transient caused by a repeater failure. The result is a massive disconnecHon of virtual circuits. What is the role of the manager and the network management system in solving the problem? How does the vendor implement the solution? How does the user use it? What measurements should be made? How should they be displayed? How much of the diagnosis and correction should be automated? How does the solution change with different hardware and software? In the IEEE Communications Magazine, I recently reported a timely illustration in the area of problems in fault management. At the workshop hotel, "I was waiting for a room assignment at the reception desk, when my attendant left the counter for a moment. Upon returning, he took one look at his screen and whined an accusatory question at everyone in sight, 'Who logged out my terminal?' Who indeed! It wasn't any of us. It was the system.

This book provides a comprehensive introduction to the underlying theory, design techniques and analytical results of wireless communication networks, focusing on the core principles of wireless network design. It elaborates the network utility maximization (NUM) theory with applications in resource allocation of wireless networks, with a central aim of design and the QoS guarantee. It presents and discusses state-of-the-art developments in resource allocation and performance optimization in wireless communication networks. It provides an overview of the general background including the basic wireless communication networks and the relevant protocols, architectures, methods and algorithms.

With the advent of Big Data, conventional communication networks are often limited in their inability to handle complex and voluminous data and information as far as effective processing, transmission, and reception are concerned. This book discusses the evolution of computational intelligence techniques in handling intelligent communication networks. Provides a detailed theoretical foundation of machine learning and computational intelligence algorithms Highlights the state of art machine learning-based solutions for communication networks Presents video demonstrations and code snippets on each chapter for easy understanding of the concepts Discusses applications including resource allocation, spectrum management, channel estimation, and physical layer of wireless networks Demonstrates applications of machine learning techniques for optical networks The text is primarily intended for senior undergraduate and graduate students and academic researchers in fields of electrical engineering, electronics and communication engineering, and computer engineering.

Integrated network management plays a pivotal role in establishing and maintaining an efficient worldwide information infrastructure. This volume presents a state-of-the-art review of the latest worldwide research results covering this topic. The book contains the selected proceedings of the fourth International Symposium on Integrated Network Management, arranged by the International Federation for Information Processing and jointly sponsored by the IEEE. The Symposium was held in Santa Barbara, California, May 1995.

Artificial Intelligence (AI) is rapidly becoming essential to large-scale communication networks. Driven by the need for greater efficiency, security, and optimization, AI has evolved into a powerful tool that processes vast data and delivers insights through real-time processing, predictive analysis, and adaptive learning. Because these advancements transform how we interact with data and services, applying AI to complex networks has never been more essential. AI for Large Scale Communication Networks explores how AI can enhance network performance, scalability, and security. With contributions from experts, this book covers topics such as algorithm optimization, machine learning improvements, and neural network applications. It also addresses critical challenges like fault tolerance and distributed computing, emphasizing the need for interdisciplinary collaboration. Designed for academics, practitioners, and students, this resource provides actionable insights and strategies to optimize communication networks using AI.

Exploring Management, 7th Edition supports teaching and learning of core management concepts by presenting material in a straightforward, conversational style with a strong emphasis on application. With a focus on currency, high-interest examples and pedagogy that encourages critical thinking and personal reflection, Exploring Management, 7th Edition is the perfect balance between what students need and what instructors want. Organized by study objectives and broken up into more manageable sections of material, the Seventh Edition supports better student comprehension and mastery of concepts. And features like skill builders, active learning activities, and team projects give students frequent opportunities to apply management concepts. Class activities provide opportunities for discussion and debate. Students can build solid management skills with self-assessments, class exercises, and team projects.