Name
Abstract | ||
|---|---|---|
Peer-to-peer systems have recently gained popularity as a way to share files amongst distributed users. Such an approach can be applied to the discovery of dis- tributed software agents. In this paper, we introduce a scalable agent discovery mech- anism that utilizes a semantic layer on top of traditional middleware, and forms a hierarchy representing the types of agents on the network. The approach is used to support the composition of meta-agents, or "an agent of agents", to build distributed applications. Our results show that the SADISCO approach scales well and allows users to discover agents with little or no a priori information. |
Year | Venue | Keywords |
|---|---|---|
2002 | HIS | distributed application,software agent |
Field | DocType | Citations |
Middleware,World Wide Web,Computer science,A priori and a posteriori,Popularity,Hierarchy,Scalability,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James J. Nolan | 1 | 7 | 2.03 |
| Arun K. Sood | 2 | 65 | 10.81 |
| Robert Simon | 3 | 2 | 1.81 |