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