DocumentCode :
710168
Title :
Elaps: An efficient location-aware pub/sub system
Author :
Long Guo ; Lu Chen ; Dongxiang Zhang ; Guoliang Li ; Kian-Lee Tan ; Zhifeng Bao
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1504
Lastpage :
1507
Abstract :
The 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.
Keywords :
message passing; middleware; mobile computing; Elaps; communication overhead; efficient location-aware pub/sub system; event dissemination; location query; location-aware publish/subscribe system; matching event; mobile devices; mobile users; processing overhead; pull based model; real-time local event dissemination; search engine; social networks; Footwear; Indexes; Mobile communication; Mobile handsets; Monitoring; Real-time systems; Subscriptions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113412
Filename :
7113412
Link To Document :
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