research-article

Solving the grand challenge using an opensource CEP engine

Authors:

Srinath Perera,

Suhothayan Sriskandarajah,

Mohanadarshan Vivekanandalingam,

Paul Fremantle,

Sanjiva WeerawaranaAuthors Info & Claims

DEBS '14: Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems

Pages 288 - 293

https://doi.org/10.1145/2611286.2611331

Published: 26 May 2014 Publication History

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Abstract

The DEBS Grand Challenge is an annual event in which different event-based systems compete to solve a real-world problem. The 2014 challenge is to demonstrate scalable real-time analytics using high-volume sensor data collected from smart plugs over a one and a half month period. This paper aims to show how a general-purpose commercially available event-based system - the WSO2 Complex Event Processor (WSO2 CEP) - was used to solve this problem. In addition, we explore areas where we created extensions to the WSO2 CEP engine to better solve the challenge.

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Pešović UMarković DĐurašević SRanđić S(2019)Remote monitoring of beehive activityActa agriculturae Serbica10.5937/AASer1948157P24:48(157-165)Online publication date: 2019
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Markovic DVujicic DStojic DJovanovic ZPesovic URandic S(2019)Monitoring System Based on IoT Sensor Data with Complex Event Processing and Artificial Neural Networks for Patients Stress Detection2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH)10.1109/INFOTEH.2019.8717748(1-6)Online publication date: Mar-2019
https://doi.org/10.1109/INFOTEH.2019.8717748
Symvoulidis CTsoumas IKyriazis D(2019)Towards the Identification of Context in 5G InfrastructuresIntelligent Computing10.1007/978-3-030-22868-2_31(406-418)Online publication date: 9-Jul-2019
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Index Terms

Solving the grand challenge using an opensource CEP engine
1. Computing methodologies
  1. Machine learning
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Published In

DEBS '14: Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems

May 2014

371 pages

ISBN:9781450327374

DOI:10.1145/2611286

General Chairs:
Umesh Bellur
IIT Bombay, India
,
Ravi Kothari
IBM India Research Labs

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: 26 May 2014

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DEBS '14

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DEBS '14: The 8th ACM International Conference on Distributed Event-Based Systems

May 26 - 29, 2014

Mumbai, India

Acceptance Rates

DEBS '14 Paper Acceptance Rate 16 of 174 submissions, 9%;

Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

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Pešović UMarković DĐurašević SRanđić S(2019)Remote monitoring of beehive activityActa agriculturae Serbica10.5937/AASer1948157P24:48(157-165)Online publication date: 2019
https://doi.org/10.5937/AASer1948157P
Markovic DVujicic DStojic DJovanovic ZPesovic URandic S(2019)Monitoring System Based on IoT Sensor Data with Complex Event Processing and Artificial Neural Networks for Patients Stress Detection2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH)10.1109/INFOTEH.2019.8717748(1-6)Online publication date: Mar-2019
https://doi.org/10.1109/INFOTEH.2019.8717748
Symvoulidis CTsoumas IKyriazis D(2019)Towards the Identification of Context in 5G InfrastructuresIntelligent Computing10.1007/978-3-030-22868-2_31(406-418)Online publication date: 9-Jul-2019
https://doi.org/10.1007/978-3-030-22868-2_31
Cambeiro JGomes CAmaral VRodrigues ACunha JBures TFitzgerald JSchmerl BWeyns D(2018)A building automation case study setup and challengesProceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems10.1145/3196478.3196482(41-44)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3196478.3196482
Dayarathna MPerera S(2018)Recent Advancements in Event ProcessingACM Computing Surveys10.1145/317043251:2(1-36)Online publication date: 13-Feb-2018
https://dl.acm.org/doi/10.1145/3170432
Marković DKoprivica RVeljković BPešović URanđić S(2017)Data stream processing near sensor devices at monitoring of combine harvester's working partsSavremena poljoprivredna tehnika10.5937/SavPoljTeh1701001M43:4(1-6)Online publication date: 2017
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Carvalho ORoloff ENavaux PAnjum ASill AFox GChen Y(2017)A Distributed Stream Processing based Architecture for IoT Smart Grids MonitoringCompanion Proceedings of the10th International Conference on Utility and Cloud Computing10.1145/3147234.3148105(9-14)Online publication date: 5-Dec-2017
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Rakkesh SWeerasinghe ARanasinghe R(2016)Simulation of real-time vehicle speed violation detection using complex event processing2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)10.1109/ICIAFS.2016.7946549(1-6)Online publication date: Dec-2016
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Halle SGaboury SKhoury R(2016)A glue language for event stream processing2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840873(2384-2391)Online publication date: Dec-2016
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Suriarachchi APallickara SEliassen FVitenberg R(2015)A high-throughput, scalable solution for calculating frequent routes and profitability of New York taxisProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2772589(301-308)Online publication date: 24-Jun-2015
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