Innovative internet community systems : 5th International Workshop, IICS 2005, Paris, France, June 20-22, 2005 : revised papers
著者
書誌事項
Innovative internet community systems : 5th International Workshop, IICS 2005, Paris, France, June 20-22, 2005 : revised papers
（Lecture notes in computer science, 3908）
Springer, c2006
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Thoroughly refereed post-proceedings of the 5th International Workshop on Innovative Internet Community Systems, IICS 2005, held in Paris, France, in June 2005. The 17 revised full papers presented have been carefully reviewed and selected from 27 submissions. They mainly address system-oriented problems, content and text processing, and theoretical foundations of quality-of-service problems of Internet protocols, aspects of cooperation and collaboration in Internet systems, as well as agent and text-processing-based methods.
目次
Innovation Processes Revisited by Internet.- Lightweight Causal Cluster Consistency.- Distributed Calculation of PageRank Using Strongly Connected Components.- A Structured Peer-to-Peer System with Integrated Index and Storage Load Balancing.- Grid-Based Vehicle Locating System.- The Guadalajara Urban Traffic Control Project - An Overview About Features and Needs for Tomorrow's Mobile City Communities.- Towards P2P Information Systems.- A Random Walk Topology Management Solution for Grid.- Content-Oriented Self-organization in Unstructured P2P Data Sharing Systems. An Approach to Improve Resource Discovery.- Improving Reliability of Distributed Storage.- Using Lamport's Logical Clocks to Consolidate Log Files from Different Sources.- A Simple Approach for Testing Web Service Based Applications.- Optimizing and Reducing the Delay Latency of Mobile IPv6 Location Management.- Compositional Constraints Generation for Concurrent Real-Time Loops with Interdependent Iterations.- Application Signaling Protocols as Basis for QoS in IP-Based Wireless Networks.- 3D Emotional Agent Architecture.- A Distributed Preflow-Push for the Maximum Flow Problem.
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