Elaps: An Efficient Location-Aware Pub/Sub System

被引:0
|
作者
Guo, Long [1 ]
Chen, Lu [1 ]
Zhang, Dongxiang [1 ]
Li, Guoliang [2 ]
Tan, Kian-Lee [1 ]
Bao, Zhifeng [3 ]
机构
[1] Natl Univ Singapore, Singapore 117548, Singapore
[2] Tsinghua Univ, Beijing, Peoples R China
[3] Univ Tasmania, Hobart, Tas 7001, Australia
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1504 / 1507
页数:4
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