
doi: 10.1002/spe.448
AbstractWe describe a mobile agent application for distributed searching of the global Usenet network, implemented on top of the Ara mobile agent system. After short overviews of Ara and the Usenet, the application is presented in detail, beginning with some critical thoughts on mobile agent applications in general. The function and performance of the search application is then described, demonstrating the advantage of using mobile agents over an equivalent stationary implementation of the same application under certain conditions, and also discussing the limits of such conditions. This is followed by descriptions of the language to express the search queries and of the search algorithms employed. The application presentation closes with a critical discussion. The paper then concludes with some observations about mobile agent programming in general. Copyright © 2002 John Wiley & Sons, Ltd.
searching, Computing methodologies and applications, mobile agent, Learning and adaptive systems in artificial intelligence, Usenet, General topics in the theory of software, performance comparison, application
searching, Computing methodologies and applications, mobile agent, Learning and adaptive systems in artificial intelligence, Usenet, General topics in the theory of software, performance comparison, application
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
