Autonomic Computing and Networking

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhang, Yan (Επιμελητής έκδοσης), Yang, Laurence Tianruo (Επιμελητής έκδοσης), Denko, Mieso K. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2009.
• Θέματα: Engineering.; Computer communication systems.; Coding theory.; Mathematical optimization.; Electrical engineering.; Communications Engineering, Networks.; Computer Communication Networks.; Signal, Image and Speech Processing.; Optimization.; Coding and Information Theory.

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 academ...

Πίνακας περιεχομένων:

• Section 1 Autonomic Computing
• General-Purpose Autonomic Computing
• Software Architecture-Based Self-Adaptation
• Mobile Agent Middleware for Autonomic Data Fusion in Wireless Sensor Networks
• Component-Based Autonomic Management for Legacy Software
• Dynamic WSDL for Supporting Autonomic Computing
• Bio-inspired Cognitive Radio for Dynamic Spectrum Access
• Introducing Autonomous Behaviors into IMS-Based Architectures
• Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems
• Autonomic Peer-to-Peer Systems: Incentive and Security Issues
• Section 2 Autonomic Networking
• Toward Autonomic Networks: Knowledge Management and Self-Stabilization
• Autonomic Networking in Wireless Sensor Networks
• iNetLab: A Model-Driven Development and Performance Engineering Environment for Autonomic Network Applications
• Network Reconfiguration in High-Performance Interconnection Networks
• Autonomic Management of Networked Web Services-Based Processes
• Concepts for Self-Protection
• Formal Aspects of Self-#x0002A; in Autonomic Networked Computing Systems
• Autonomic Information Diffusion in Intermittently Connected Networks
• Dynamic and Fair Spectrum Access for Autonomous Communications.