Abstract | ||
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Today, multi-agent technologies are widely used for realizing prevalent ubiquitous computing applications, in which service discovery is a critical task for finding a particular service instance. While JADE is a popular system for multi-agent applications, its directory facilitator (DF) used for service discovery employs a sequential search approach, which shows degraded performance when the number of registered services becomes large. This paper proposes a new DF scheme employing the category-based classification and search approach. It greatly reduces the search space and allows accurate matchmaking. The DF implemented with the proposed approach and JADE-DF are compared in terms of query response time and memory space requirement. It demonstrates that the proposed DF allows faster query processing than JADE-DF and requires smaller memory space, especially for a large number of services and queries of multiple parameters. |
Year | DOI | Venue |
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2012 | 10.1007/s10796-010-9281-x | Information Systems Frontiers |
Keywords | DocType | Volume |
Agent platform,Category based search,Context-awareness,Middleware,Service discovery | Journal | 14 |
Issue | ISSN | Citations |
3 | 1387-3326 | 3 |
PageRank | References | Authors |
0.50 | 22 | 3 |
Name | Order | Citations | PageRank |
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SeungWok Han | 1 | 72 | 8.87 |
Hee Yong Youn | 2 | 943 | 142.78 |
Oh-young Song | 3 | 271 | 26.40 |