Fault-tolerant peer-to-peer search on small-world networks
Future Generation Computer Systems
QoS-based dissemination of content in Grids
Future Generation Computer Systems
So-Grid: A self-organizing Grid featuring bio-inspired algorithms
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A decentralized ant-inspired approach for resource management and discovery in grids
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
File grouping for scientific data management: lessons from experimenting with real traces
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Reorganization and discovery of grid information with epidemic tuning
Future Generation Computer Systems
MobiSoC: a middleware for mobile social computing applications
Mobile Networks and Applications
Construction of a Peer-to-Peer Information System in Grids
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
A swarm algorithm for a self-structured P2P information system
IEEE Transactions on Evolutionary Computation
Joint interest- and locality-aware content dissemination in social networks
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Interest-based overlay construction and message routing in service-oriented peer-to-peer networks
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
Affinity P2P: A self-organizing content-based locality-aware collaborative peer-to-peer network
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive response time control for metadata matching in information dissemination systems
Journal of Systems Architecture: the EUROMICRO Journal
Hi-index | 0.00 |
Information dissemination is a fundamental and frequently occurring problem in large, dynamic, distributed systems. We propose a novel approach to this problem, interest-aware information dissemination, that takes advantage of small-world usage patterns in data-sharing communities. These small-world characteristics suggest that users naturally form groups of common interest. We propose algorithms for identifying these groups dynamically, without a need for explicit classification of topics or declaration of user interests. These algorithms use information about the data consumed by users to identify, via online computation, groups with similar interests. As a proof of concept, we apply this methodology to the problem of locating files in large user communities. Using real-world traces from a scientific community and from a peer-to-peer system, we show that proactive information dissemination within groups of common interest can reduce the search load by up to 70%. In addition, this approach naturally supports the efficient discovery of collections of files, a requirement specific to scientific data analysis tasks. We hypothesize that our algorithms can find numerous other uses in distributed systems, such as reputation management.