Autonomic Communication

ISBN-13: 9780387097527 / Angielski / Twarda / 2009 / 394 str.

Athanassios Vasilakos; Manish Parashar; Stamatis Karnouskos

Opis

New paradigms for communication/networking systems are needed in order to tackle the emerging issues such as heterogeneity, complexity and management of evolvable infrastructures. In order to realize such advanced systems, approaches should become task- and knowledge-driven, enabling a service-oriented, requirement, and trust-driven development of communication networks. The networking and seamless integration of concepts, technologies and devices in a dynamically changing environment poses many challenges to the research community, including interoperability, programmability, management, openness, reliability, performance, context awareness, intelligence, autonomy, security, privacy, safety, and semantics. This edited volume explores the challenges of technologies to realize the vision where devices and applications seamlessly interconnect, intelligently cooperate, and autonomously manage themselves, and as a result, the borders of virtual and real world vanish or become significantly blurred.

Spis treści

Bio-inspired Autonomic Structures: a middleware for Telecommunications Ecosystems.- Social-based Autonomic Routing In Opportunistic Networks.- A Collaborative Knowledge Plane for Autonomic Networks.- A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication.- Hovering Information - Self Organizing Information That Finds Its Own Storage.- The CASCADAS Framework for Autonomic Communications.- Autonomic Middleware for Automotive Embedded Systems.- Social Opportunistic Computing: Design for Autonomic User-Centric Systems.- Programming and Validation Techniques for Reliable Goal-driven Autonomic Software.- Autonomic Communication in Pervasive Multimodal Multimedia Computing Systems.- Self-healing for Autonomic Pervasive Computing.- Map-based Design for Autonomic Wireless Sensor Networks.- An Efficient, Scalable and Robust P2P Overlay for Autonomic Communication.- Autonomic and Coevolutionary Sensor Networking.-

O autorze

Stamatis Karnouskos is an Expert on M2M / Internet of Things within SAP. He investigates the added-value of integrating networked embedded devices in enterprise systems. For more than 15 years Stamatis leads efforts in several European Commission and industry funded projects related to industrial automation, smart grids, Internet-based services and architectures, software agents, mobile commerce, security and mobility. He serves in the technical advisory board of Internet Protocol for Smart Objects Alliance (IPSO), and the Permanent Stakeholder Group of the European Network and Information Security Agency (ENISA). Manish Parashar, PhD, is an associate professor in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey, where he is Director of The Applied Software Systems Laboratory (TASSL). Professor Parashar is a recipient of the NSF CAREER award and the Enrico Fermi scholarship, and is a senior member of the IEEE. In addition to publishing over a hundred technical papers in international journals and conferences, Professor Parashar has coauthored/edited three books, and has contributed to several others, in the area of parallel and distributed computing.

Blurb

New paradigms for communication/networking systems are needed in order to tackle such emerging issues as heterogeneity, complexity and management of evolvable infrastructures, thus requiring approaches that are both task- and knowledge-driven. The networking and seamless integration of concepts, technologies and devices in a dynamically changing environment poses many challenges to the research community, including interoperability, programmability, management, openness, reliability, performance, context awareness, intelligence, autonomy, security, privacy, safety, and semantics. Inspired by biological systems, autonomic communication envisions communication systems that can organize, configure, optimize, protect, and heal themselves with minimal involvement of human administrators.

Autonomic Communication explores conceptual models and associated technologies that will uphold the vision of autonomic communication where devices and applications blur the boundaries between virtual and real worlds as they seamlessly interconnect, intelligently cooperate, and autonomously manage themselves.

Written by leading international researchers, the contributions give testimony to the challenges and prospects of this rapidly growing area. The volume is composed of chapters covering a wide range of issues related to autonomic communication.

Part I Autonomic Communication Infrastructure

• Social-based autonomic routing in opportunistic networks
• A Collaborative Knowledge Plane for Autonomic Networks
• A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication

Part II Autonomic Communication Services and Middleware

• Hovering Information – Self-Organizing Information that Finds its Own Storage
• The CASCADAS Framework for Autonomic Communications
• Autonomic Middleware for Automotive Embedded Systems
• Social Opportunistic Computing: Design for Autonomic User-Centric Systems
• Programming and Validation Techniques for Reliable Goal-driven Autonomic Software

Part III Applications to Ad-Hoc (Sensor) Networks and Pervasive Systems

• Autonomic Communication in Pervasive Multimodal Multimedia Computing System
• Self-healing for Autonomic Pervasive Computing
• Map-based Design for Autonomic Wireless Sensor Networks
• An Efficient, Scalable and Robust P2P Overlay for Autonomic Communication
• Autonomic and Coevolutionary Sensor Networking

Autonomic Communication provides a vital reference to both researchers and practitioners, particularly those in networking, future and emerging technologies, mobile systems, autonomous technologies, computational intelligence, and embedded systems. The book is also a useful tool for graduate students and senior undergraduate students in courses on networking, autonomous management web, services, network application modeling, knowledge-based systems, and evolutionary software.