Autonomic Communication

This edited volume explores the technological challenge of realizing a world in which devices and applications seamlessly interconnect, intelligently cooperate, and autonomously manage themselves, blurring the boundaries between virtual and real worlds.

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.

Autonomic communication is an open long-term research initiative gaining global momentum Provides a first systematic and comprehensive treatment of this new area Explores both conceptual models and associated technologies Includes supplementary material: sn.pub/extras

Autorentext
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.

Inhalt
Autonomic Communication Infrastructure.- 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.- Autonomic Communication Services and Middleware.- Hovering Information #x2013; 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.- 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.