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Elaps: An efficient location-aware pub/sub system
conference contribution
posted on 2023-05-23, 11:08 authored by Guo, L, Chen, L, Zhang, D, Li, G, Tan, KL, Bao, ZThe prevalence of social networks and mobile devices has facilitated the real-time dissemination of local events such as sales, shows and exhibitions. To explore nearby events, mobile users can query a location based search engine for the desired data. However, operating under such a pull based model means that users may miss interesting events (because no explicit queries are issued) or processing/communication overheads may be high (because users have to continuously issue queries). In this demo, we present Elaps, an efficient location-aware publish/subscribe system that can effectively disseminate interesting events to moving users. Elaps is based on the push model and notifies mobile users instantly whenever there is a matching event around their locations. Through the demo, we will demonstrate that Elaps is scalable to a large number of subscriptions and events. Moreover, Elaps can effectively monitor the subscribers without missing any event matching, and incur low communication overhead.
History
Publication title
Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE 2015)Volume
2015-MayEditors
Huang, JHPagination
1504-1507ISSN
1084-4627Publisher
IEEE Computer SocietyPlace of publication
United StatesEvent title
31st IEEE International Conference on Data Engineering 2015Event Venue
Seoul, South KoreaDate of Event (Start Date)
2015-04-13Date of Event (End Date)
2015-04-17Rights statement
Copyright 2015 IEEERepository Status
- Restricted