الصفحة 6
الصفحة 6
Advanced Wired and Wireless Networks
ADVANCED WIRED AND WIRELESS NETWORKS brings the reader a sample of recent research efforts representative of advances in the areas of recognized importance for the future Internet, In Part I, we bring ad-hoc networking closer to the reality of practical use. The focus is on more advanced scalable routing suitable for large networks, directed flooding useful in information dissemination networks, as well as self-configuration and security issues important in practical deployments. Part II illustrates the efforts towards development of advanced mobility support techniques (beyond traditional "mobile phone net") and Mobile IP technologies. The issues range from prediction based mobility support, through context transfer during Mobile IP handoff, to service provisioning platforms for heterogeneous networks. The focus of the final section concerns the performance of networks and protocols. Furthermore this section illustrates researchers’ interest in protocol enhancement requests for improved performance with advanced networks, reliable and efficient multicast methods in unreliable networks, and composite scheduling in programmable/active networks where computing resources equal network performance as transmission bandwidth.
Advanced Web and Network Technologies, and Applications ; APWeb 2006 International Workshops : XRA, IWSN, MEGA, and ICSE, Harbin, China, January 16-18, 2006, Proceedings
The QOS evaluating model for computational grid nodes put forward can help greatly improving the self-adaptability of resource management and accelerating the appli- tion and development of Computational Grid. Now this model has been applied in NPU Campus Computational Grid. And the good effect brought by it has effectively proved its function. References 1. Foster, I. and C. Kesselman, eds. The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, 1999. 2. Liu Liang, Zhou Xing-she, and Gu Jian-hua: A Multi-Agent System for Grid Computing. The Second International Conference on Active Media Technology, 2003 3. Yao Wang, Julita Vassileva: Trust and Reputation Model in Peer-to-Peer Networks. Farag Azzedin and Muthucumaru Maheswaran: Integrating Trust into Grid Resource M- agement Systems.
Advanced Information Systems Engineering ; 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006, Proceedings
This book constitutes the refereed proceedings of the 18th International Conference on Advanced Information Systems Engineering, CAiSE 2006, held in Luxembourg, in June 2006. The book presents 33 revised full papers together with 3 keynote talks. The papers are organized in topical sections on security, conceptual modeling, queries, document conceptualization, service composition, workflow, business modeling, configuration and separation, business process modeling, agent orientation, and requirements management.
Ad-Hoc, mobile, and wireless networks ; Vol.3738 ; 4th International conference, ADHOC-NOW 2005, Cancun, Mexico, October 6-8, 2005, Proceedings
This book constitutes the refereed proceedings of the 4th International Conference on Ad-Hoc Networks and Wireless, ADHOiNOW 2005, The papers discuss architectures, protocols, and algorithms for: access control, scheduling, ad hoc and sensor networks analytic methods and modelling for performance evaluation, characterization, optimization, auto-configuration, incentives and pricing, location awareness, discovery, dependence, and management, mesh networks, new applications, power management, power control, and energy-efficiency, quality-of-service, resource allocation, multimedia, routing (unicast, multicast, etc.), security and privacy, service discovery, systems and testbeds, wireless internet, and data management.
Active Sensor Planning for Multiview Vision Tasks
Describes some effective strategies to generate a sequence of viewing poses and sensor settings for optimally completing a perception task. Several methods are proposed to solve the problems in both model-based and nonmodel-based vision tasks. For model-based applications, the method involves determination of the optimal sensor placements and a shortest path through these viewpoints for automatic generation of a perception plan.
