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

Authors:

Fan Ye,

Raghu Ganti,

Raheleh Dimaghani,

Keith Grueneberg,

Seraphin CaloAuthors Info & Claims

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

Pages 699 - 702

https://doi.org/10.1145/2187980.2188184

Published: 16 April 2012 Publication History

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Abstract

In this paper, we propose and develop MECA, a common middleware infrastructure for data collection from mobile devices in an efficient, flexible, 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.

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R. Ganti, F. Ye, and H. Lei. Mobile crowdsensing: Current state and future challenges.IEEE Communications Magazine, 49(11):32--39, 2011.

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Cited By

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Moamen AJamali N(2020)Opportunistic Sharing of Continuous Mobile Sensing Data for Energy and Power ConservationIEEE Transactions on Services Computing10.1109/TSC.2017.270568513:3(503-514)Online publication date: 1-May-2020
https://doi.org/10.1109/TSC.2017.2705685
Oniani SPires IGarcia NMosashvili IPombo N(2019)A review of frameworks on continuous data acquisition for e-Health and m-HealthProceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good - GoodTechs '1910.1145/3342428.3342702(231-234)Online publication date: 2019
https://doi.org/10.1145/3342428.3342702
Vance NRashid MZhang DWang D(2019)Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach2019 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2019.00066(301-308)Online publication date: Jun-2019
https://doi.org/10.1109/SMARTCOMP.2019.00066
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Index Terms

MECA: mobile edge capture and analysis middleware for social sensing applications
1. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Domain specific languages
  2. Software organization and properties
    1. Software system structures
      1. Software architectures

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Information & Contributors

Information

Published In

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

April 2012

1250 pages

ISBN:9781450312301

DOI:10.1145/2187980

General Chairs:
Alain Mille
Université de Lyon, France
,
Fabien Gandon
INRIA, France
,
Jacques Misselis
HP, France
,
Program Chairs:
Michael Rabinovich
Case Western Reserve University, USA
,
Steffen Staab
University of Koblenz-Landau, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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WWW 2012

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Univ. de Lyon

WWW 2012: 21st World Wide Web Conference 2012

April 16 - 20, 2012

Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all

Moamen AJamali N(2020)Opportunistic Sharing of Continuous Mobile Sensing Data for Energy and Power ConservationIEEE Transactions on Services Computing10.1109/TSC.2017.270568513:3(503-514)Online publication date: 1-May-2020
https://doi.org/10.1109/TSC.2017.2705685
Oniani SPires IGarcia NMosashvili IPombo N(2019)A review of frameworks on continuous data acquisition for e-Health and m-HealthProceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good - GoodTechs '1910.1145/3342428.3342702(231-234)Online publication date: 2019
https://doi.org/10.1145/3342428.3342702
Vance NRashid MZhang DWang D(2019)Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach2019 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2019.00066(301-308)Online publication date: Jun-2019
https://doi.org/10.1109/SMARTCOMP.2019.00066
Marjanovic MAntonic APodnar Zarko I(2018)Autonomous Data Acquisition in the Hierarchical Edge-Based MCS Ecosystem2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)10.1109/W-FiCloud.2018.00012(34-41)Online publication date: Aug-2018
https://doi.org/10.1109/W-FiCloud.2018.00012
Marjanovic MAntonic AZarko I(2018)Edge Computing Architecture for Mobile CrowdsensingIEEE Access10.1109/ACCESS.2018.27997076(10662-10674)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2799707
Calo SVerma DBertino EBertino ESandhu RWeippl E(2017)Distributed IntelligenceProceedings of the 22nd ACM on Symposium on Access Control Models and Technologies10.1145/3078861.3078881(1-7)Online publication date: 7-Jun-2017
https://dl.acm.org/doi/10.1145/3078861.3078881
(2017)Towards next-generation heterogeneous mobile data stream mining applicationsJournal of Network and Computer Applications10.1016/j.jnca.2016.11.03179:C(1-24)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1016/j.jnca.2016.11.031
Leppänen TÁlvarez Lacasia JTobe YSezaki KRiekki J(2017)Mobile crowdsensing with mobile agentsAutonomous Agents and Multi-Agent Systems10.1007/s10458-015-9311-731:1(1-35)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s10458-015-9311-7
Mishra VVerma DWilliams C(2017)Improving Security in Coalition Tactical Environments Using an SDN ApproachGuide to Security in SDN and NFV10.1007/978-3-319-64653-4_11(273-298)Online publication date: 12-Nov-2017
https://doi.org/10.1007/978-3-319-64653-4_11
Salem ANadeem T(2016)LAMEN: Towards orchestrating the growing intelligence on the edge2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT.2016.7845453(508-513)Online publication date: Dec-2016
https://doi.org/10.1109/WF-IoT.2016.7845453
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