Service Discovery in Agent-Based Pervasive Computing Environments
dc.contributor.author | Ratsimor, Olga | |
dc.contributor.author | Chakraborty, Dipanjan | |
dc.contributor.author | Joshi, Anupam | |
dc.contributor.author | Finin, Timothy | |
dc.contributor.author | Yesha, Yelena | |
dc.date.accessioned | 2018-12-19T20:26:10Z | |
dc.date.available | 2018-12-19T20:26:10Z | |
dc.date.issued | 2003-11-30 | |
dc.description.abstract | Directory based service discovery mechanisms are unsuitable for ad-hoc m-commerce environments. Working towards finding an alternate mechanism, we developed Allia: a peer-to-peer caching based and policy-driven agent-service discovery framework that facilitates cross-platform service discovery in ad-hoc environments. Our approach achieves a high degree of flexibility in adapting itself to changes in ad-hoc environments and is devoid of common problems associated with structured compound formation in mobile commerce environments. Device capabilities and limitations, user preferences regarding device usage, application specifics with respect to mobile commerce are factors that our framework adapts to. We have described our initial implementation of Allia over ThinkPads and iPAQs by extending the LEAP Agent Platform and using Bluetooth as the underlying network protocol. In addition, we evaluated Allia's performance by running simulations of our protocol in Glomosim simulator. We also compared our framework against a structured compound-based architecture. | en_US |
dc.description.sponsorship | This work was supported in part by NFS awards IIS 9875433, IIS 0209001, CCR 0070802 and the Defense Advanced Research Projects Agency under contract F30602-00-2-0 591 AO K528. | en_US |
dc.description.uri | https://link.springer.com/article/10.1023/B:MONE.0000042506.96219.cc | en_US |
dc.format.extent | 30 pages | en_US |
dc.genre | journal articles preprints | en_US |
dc.identifier | doi:10.13016/m25q3w-uzkr | |
dc.identifier.citation | Ratsimor, O., Chakraborty, D., Joshi, A. et al. Mobile Networks and Applications (2004) 9: 679. https://doi.org/10.1023/B:MONE.0000042506.96219.cc | en_US |
dc.identifier.uri | https://doi.org/10.1023/B:MONE.0000042506.96219.cc | |
dc.identifier.uri | http://hdl.handle.net/11603/12324 | |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature Switzerland AG. | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Student Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.rights | This is a pre-print of an article published in Mobile Networks and Applications. The final authenticated version is available online at: https://doi.org/https://doi.org/10.1023/B:MONE.0000042506.96219.cc. | |
dc.subject | mobile service discovery | en_US |
dc.subject | advertising | en_US |
dc.subject | caching | en_US |
dc.subject | device profiles | en_US |
dc.subject | device preferences | en_US |
dc.subject | agents | en_US |
dc.subject | UMBC Ebiquity Research Group | en_US |
dc.title | Service Discovery in Agent-Based Pervasive Computing Environments | en_US |
dc.type | Text | en_US |