Ebook: Autonomic Computing and Networking
- Tags: Computer Communication Networks, Coding and Information Theory, Optimization, Signal Image and Speech Processing, Communications Engineering Networks
- Year: 2009
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
Autonomic Computing and Networking serves as a technical guide and reference material for engineers, scientists, practitioners, and researchers by providing them with state-of-the-art research activities and future opportunities and trends. The contributions made by prominent researchers from academia and industry include state-of-the-art architectures, protocols, technologies, and applications in pervasive computing and wireless networking. In particular, the book covers existing and emerging communications and computing models, design architectures, mobile and wireless applications, technology and research issues in autonomic computing systems and communications.
Important features include:
- A comprehensive reference on autonomic computing and networking,
- State-of-the-art techniques used in the field,
- Illustrative figures enabling easy reading, and
- Emerging trends and open research problems and issues.
The material is organized into two sections: autonomic computing and autonomic networking. With a total of eighteen chapters, each section contains nine chapters addressing existing and emerging architectures, protocols, and applications.
Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environment using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.