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MECA: Mobile edge capture and analysis middleware for social sensing applications

  • Fan Ye
  • , Raghu Ganti
  • , Raheleh Dimaghani
  • , Keith Grueneberg
  • , Seraphin Calo
  • IBM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

In this paper, we propose and develop MECA, a common middleware infrastructure for data collection from mobile devices in an efficient, exible, and scalable manner. It provides a high level abstraction of phenomenon such that applications can express diverse data needs in a declarative fashion. MECA coordinates the data collection and primitive processing activities, so that data can be shared among applications. It addresses the inefficiency issues in the current vertical integration approach. We showcase the benefits of MECA by means of a disaster management application. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Original languageEnglish
Title of host publicationWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Pages699-702
Number of pages4
DOIs
StatePublished - 2012
Event21st Annual Conference on World Wide Web, WWW'12 - Lyon, France
Duration: Apr 16 2012Apr 20 2012

Publication series

NameWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Conference

Conference21st Annual Conference on World Wide Web, WWW'12
Country/TerritoryFrance
CityLyon
Period04/16/1204/20/12

Keywords

  • Data collection
  • Sensing applications

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