Flexible update propagation for weakly consistent replication
Proceedings of the sixteenth ACM symposium on Operating systems principles
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Search and replication in unstructured peer-to-peer networks
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Routing Indices For Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Improving Search in Peer-to-Peer Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Adaptive Probabilistic Search for Peer-to-Peer Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
Construction of a Peer-to-Peer Information System in Grids
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
A super-peer model for resource discovery services in large-scale Grids
Future Generation Computer Systems
Pheromone learning for self-organizing agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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)
| Hi-index | 0.00 |
A Grid information system should rely upon two basic features: the replication and dissemination of information about Grid resources, and an intelligent logical distribution of such information among Grid hosts. This paper examines an approach based on multi agent systems to build an information systems in which metadata related to Grid resources is disseminated and logically organized according to a semantic classification of resources. Agents collect resources belonging to the same class in a restricted region of the Grid, so decreasing the system entropy. A semi-informed resource discovery protocol exploits the agents’ work: query messages issued by clients are driven towards “representative peers” which maintain information about a large number of resources having the required characteristics. Simulation analysis proves that the combined use of the resource mapping protocol (ARMAP) and the resource discovery protocol (ARDIP) allows users to find many useful results in a small amount of time.