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A policy-based coordination architecture for distributed complex event processing in the internet of things: doctoral symposium

Published: 13 June 2016 Publication History

Abstract

The dissemination of powered communication devices has instigated a new technological paradigm called Internet of Things (IoT). These devices are present in our life, capturing information about people's routines and using them as data stream to support many decision-making processes. Nevertheless, many IoT applications take into consideration only the information related to their local context and the data analysis is done by a cloud server, increasing the feedback information latency to the data consumers and reducing the information quality.
This work adopts the use of a distributed complex event processing (CEP) to analyse data considering all the IoT devices to execute data processing and distribution through a policy-based coordination architecture, building a μDCEP, called GiTo. The policies define rules for coordination processing which are monitored through the distributed CEP engine. This approach focus on information quality improvement and time reduction between data generation and information acquired by the consumers.

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Cited By

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  • (2022)ES-PPDA: an efficient and secure privacy-protected data aggregation scheme in the IoT with an edge-based XaaS architectureJournal of Cloud Computing10.1186/s13677-022-00295-511:1Online publication date: 26-Jul-2022
  • (2020)Towards Online Learning and Concept Drift for Offloading Complex Event Processing in the Edge2020 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC50012.2020.00024(167-169)Online publication date: Nov-2020
  • (2020)LAURA architectureJournal of Systems and Software10.1016/j.jss.2019.110494161:COnline publication date: 1-Mar-2020
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    cover image ACM Conferences
    DEBS '16: Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems
    June 2016
    456 pages
    ISBN:9781450340212
    DOI:10.1145/2933267
    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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    Publication History

    Published: 13 June 2016

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    Author Tags

    1. complex event processing
    2. context awareness
    3. fog computing
    4. internet of things
    5. policy-based architecture

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    Cited By

    View all
    • (2022)ES-PPDA: an efficient and secure privacy-protected data aggregation scheme in the IoT with an edge-based XaaS architectureJournal of Cloud Computing10.1186/s13677-022-00295-511:1Online publication date: 26-Jul-2022
    • (2020)Towards Online Learning and Concept Drift for Offloading Complex Event Processing in the Edge2020 IEEE/ACM Symposium on Edge Computing (SEC)10.1109/SEC50012.2020.00024(167-169)Online publication date: Nov-2020
    • (2020)LAURA architectureJournal of Systems and Software10.1016/j.jss.2019.110494161:COnline publication date: 1-Mar-2020
    • (2020)Developing House of Information Quality framework for IoT systemsInternational Journal of System Assurance Engineering and Management10.1007/s13198-020-00989-6Online publication date: 23-May-2020
    • (2019)Hierarchical data fusion for Smart HealthcareJournal of Big Data10.1186/s40537-019-0183-66:1Online publication date: 25-Feb-2019
    • (2018)An Outlook on Physical and Virtual Sensors for a Socially Interactive InternetSensors10.3390/s1808257818:8(2578)Online publication date: 6-Aug-2018
    • (2017)Distributed Data Fusion for the Internet of ThingsParallel Computing Technologies10.1007/978-3-319-62932-2_41(427-432)Online publication date: 29-Jul-2017

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