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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, Z
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.

History

Publication title

Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE 2015)

Volume

2015-May

Editors

Huang, JH

Pagination

1504-1507

ISSN

1084-4627

Publisher

IEEE Computer Society

Place of publication

United States

Event title

31st IEEE International Conference on Data Engineering 2015

Event Venue

Seoul, South Korea

Date of Event (Start Date)

2015-04-13

Date of Event (End Date)

2015-04-17

Rights statement

Copyright 2015 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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