C4.5: programs for machine learning
C4.5: programs for machine learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
Discovery of Decision Rules from Databases: An Evolutionary Approach
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
The Rise and Fall of Napster - An Evolutionary Approach
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Dynamic Programming
Service discovery in agent-based pervasive computing environments
Mobile Networks and Applications
Distributed Policy Specification and Enforcement in Service-Oriented Business Systems
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
A survey and comparison of peer-to-peer overlay network schemes
IEEE Communications Surveys & Tutorials
The organic grid: self-organizing computation on a peer-to-peer network
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy rule induction in a set covering framework
IEEE Transactions on Fuzzy Systems
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The ongoing trend of constructing open, scalable distributed systems such as peer-to-peer (P2P) systems demands for effective tools to manage the interactions between constituent entities (or nodes). One such tool is through imposing decision policies at the network level. However very few techniques are available to allow computers autonomously identify good policies with limited human intervention. In this paper, we propose an Extremal Programming (EP) algorithm to achieve automatic policy identification. The algorithm is inspired by recent advances in understanding far from equilibrium phenomena in terms of self-organized criticality (SOC). The effectiveness of EP is evaluated through a P2P application called location-aware video streaming (LAVS). The simulation studies in LAVS demonstrate that with EP, the fast and effective sharing of video streams is achieved.