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Elaps: An efficient location-aware pub/sub system


Guo, L and Chen, L and Zhang, D and Li, G and Tan, KL and Bao, Z, Elaps: An efficient location-aware pub/sub system, Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE 2015), 13-17 April 2015, Seoul, South Korea, pp. 1504-1507. ISSN 1084-4627 (2015) [Refereed Conference Paper]

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Copyright 2015 IEEE

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DOI: doi:10.1109/ICDE.2015.7113412


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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Data management and data science
Research Field:Data management and data science not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Bao, Z (Dr Zhifeng Bao)
ID Code:108821
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2016-05-06
Last Modified:2016-08-09

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