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MCEP: A Mobility-Aware Complex Event Processing System

Authors:

Beate Ottenwälder,

Boris Koldehofe,

Kurt Rothermel,

David Lillethun,

Umakishore RamachandranAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 14, Issue 1

Article No.: 6, Pages 1 - 24

https://doi.org/10.1145/2633688

Published: 07 August 2014 Publication History

Abstract

With the proliferation of mobile devices and sensors, complex event proceesing (CEP) is becoming increasingly important to scalably detect situations in real time. Current CEP systems are not capable of dealing efficiently with highly dynamic mobile consumers whose interests change with their location. We introduce the distributed mobile CEP (MCEP) system which automatically adapts the processing of events according to a consumer's location. MCEP significantly reduces latency, network utilization, and processing overhead by providing on-demand and opportunistic adaptation algorithms to dynamically assign event streams and computing resources to operators of the MCEP system.

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Cited By

Volnes EPlagemann TGoebel V(2024)To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream ProcessingIEEE Communications Surveys & Tutorials10.1109/COMST.2023.333095326:1(670-705)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/COMST.2023.3330953
Kim TSathyanarayana SChen SIm YZhang XHa SJoe-Wong C(2023)MoDEMS: Optimizing Edge Computing Migrations for User MobilityIEEE Journal on Selected Areas in Communications10.1109/JSAC.2022.322942541:3(675-689)Online publication date: Mar-2023
https://doi.org/10.1109/JSAC.2022.3229425
Kabeer MYusuf ISufi N(2023)Distributed software defined network-based fog to fog collaboration schemeParallel Computing10.1016/j.parco.2023.103040117:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.parco.2023.103040
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Index Terms

MCEP: A Mobility-Aware Complex Event Processing System

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Information & Contributors

Information

Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 14, Issue 1

Special Issue on Event Recognition

July 2014

161 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/2659232

Editor:
Munindar P. Singh
Department of Computer Science, North Carolina State University

Issue’s Table of Contents

Copyright © 2014 ACM.

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2014

Accepted: 01 April 2014

Revised: 01 April 2014

Received: 01 October 2013

Published in TOIT Volume 14, Issue 1

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“CEP in the Large” of the Baden-Württemberg Stiftung

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Cited By

Volnes EPlagemann TGoebel V(2024)To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream ProcessingIEEE Communications Surveys & Tutorials10.1109/COMST.2023.333095326:1(670-705)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/COMST.2023.3330953
Kim TSathyanarayana SChen SIm YZhang XHa SJoe-Wong C(2023)MoDEMS: Optimizing Edge Computing Migrations for User MobilityIEEE Journal on Selected Areas in Communications10.1109/JSAC.2022.322942541:3(675-689)Online publication date: Mar-2023
https://doi.org/10.1109/JSAC.2022.3229425
Kabeer MYusuf ISufi N(2023)Distributed software defined network-based fog to fog collaboration schemeParallel Computing10.1016/j.parco.2023.103040117:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.parco.2023.103040
Wang YHu HKuang HFan CWang LTao X(2023)RL-Based CEP Operator Placement Method on Edge Networks Using Response Time FeedbackWeb Information Systems and Applications10.1007/978-981-99-6222-8_47(559-571)Online publication date: 15-Sep-2023
https://dl.acm.org/doi/10.1007/978-981-99-6222-8_47
Cardellini VLo Presti FNardelli MRusso G(2022)Runtime Adaptation of Data Stream Processing Systems: The State of the ArtACM Computing Surveys10.1145/351449654:11s(1-36)Online publication date: 9-Sep-2022
https://dl.acm.org/doi/10.1145/3514496
Lindeberg MPlagemann T(2022)A Study on Migration Scheduling in Distributed Stream Processing EnginesProceedings of the 23rd International Conference on Distributed Computing and Networking10.1145/3491003.3491008(50-61)Online publication date: 4-Jan-2022
https://dl.acm.org/doi/10.1145/3491003.3491008
Kim TSathyanarayana SChen SIm YZhang XHa SJoe-Wong C(2022)MoDEMS: Optimizing Edge Computing Migrations for User MobilityIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796680(1159-1168)Online publication date: 2-May-2022
https://doi.org/10.1109/INFOCOM48880.2022.9796680
Livaja IPripužić KSovilj SVuković M(2022)A distributed geospatial publish/subscribe system on Apache SparkFuture Generation Computer Systems10.1016/j.future.2022.02.013132(282-298)Online publication date: Jul-2022
https://doi.org/10.1016/j.future.2022.02.013
Luthra MKoldehofe BDanger NWeisenberger PSalvaneschi GStavrakakis I(2021)TCEP: Transitions in operator placement to adapt to dynamic network environmentsJournal of Computer and System Sciences10.1016/j.jcss.2021.05.003122(94-125)Online publication date: Dec-2021
https://doi.org/10.1016/j.jcss.2021.05.003
Esmaeilyfard RNaderi M(2021)Distributed composition of complex event services in IoT networkThe Journal of Supercomputing10.1007/s11227-020-03498-277:6(6123-6144)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s11227-020-03498-2
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