demonstration

FINCoS: benchmark tools for event processing systems

Authors:

Marcelo R.N. Mendes,

Pedro Bizarro,

Paulo MarquesAuthors Info & Claims

ICPE '13: Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering

Pages 431 - 432

https://doi.org/10.1145/2479871.2479941

Published: 21 April 2013 Publication History

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Abstract

FINCoS is a set of benchmarking tools for load generation and performance measuring of event processing systems. It leverages the development of novel benchmarks by allowing researchers to create synthetic workloads, and enables users of the technology to evaluate candidate solutions using their own real datasets. An extensible set of adapters allows the framework to communicate with different CEP engines, and its architecture permits to distribute load generation across multiple nodes. In this paper we briefly review FINCoS, introducing its main characteristics and features, and discussing how it measures the performance of event processing platforms.

References

[1]

BiCEP project web site: http://bicep.dei.uc.pt

Google Scholar

[2]

FINCoS web site: http://code.google.com/p/fincos/

Google Scholar

[3]

Mendes, M.R.N., Bizarro, P., Marques, P. A Framework for Performance Evaluation of Complex Event Processing Systems. In Proc. of the 2nd Conf. on Distributed Event-Based Systems (Rome, Italy, July 2008), 313--316. DOI=http://dx.doi.org/10.1145/1385989.1386030.

Digital Library

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[4]

SPEC Research Group tools repository: http://research.spec.org/tools.html

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Cited By

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Volnes EPlagemann TGoebel VKristiansen S(2021)EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made EasyPerformance Evaluation and Benchmarking10.1007/978-3-030-84924-5_2(18-34)Online publication date: 4-Aug-2021
https://doi.org/10.1007/978-3-030-84924-5_2
Heikkinen EHamalainen T(2020)Deployment of Batch Processing for Log File Analysis2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)10.1109/ICPS48405.2020.9274712(137-142)Online publication date: 10-Jun-2020
https://doi.org/10.1109/ICPS48405.2020.9274712
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
Show More Cited By

Index Terms

FINCoS: benchmark tools for event processing systems
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
    2. Metrics

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Information & Contributors

Information

Published In

ICPE '13: Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering

April 2013

446 pages

ISBN:9781450316361

DOI:10.1145/2479871

Editor:
Seetharami Seelam
IBM T.J. Watson Research Center, USA
,
General Chairs:
Petr Tůma
Charles University, Czech Republic
,
Giuliano Casale
Imperial College London, UK
,
Program Chairs:
Tony Field
Imperial College London, UK
,
José Nelson Amaral
University of Alberta, Canada

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2013

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Demonstration

Conference

ICPE'13

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ICPE'13: ACM/SPEC International Conference on Performance Engineering

April 21 - 24, 2013

Prague, Czech Republic

Acceptance Rates

ICPE '13 Paper Acceptance Rate 28 of 64 submissions, 44%;

Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

View all

Volnes EPlagemann TGoebel VKristiansen S(2021)EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made EasyPerformance Evaluation and Benchmarking10.1007/978-3-030-84924-5_2(18-34)Online publication date: 4-Aug-2021
https://doi.org/10.1007/978-3-030-84924-5_2
Heikkinen EHamalainen T(2020)Deployment of Batch Processing for Log File Analysis2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)10.1109/ICPS48405.2020.9274712(137-142)Online publication date: 10-Jun-2020
https://doi.org/10.1109/ICPS48405.2020.9274712
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
Sampaio Gradvohl A(2018)Metrics and Tool for Evaluating Data Stream Processing Systems2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)10.1109/W-FiCloud.2018.00014(48-55)Online publication date: Aug-2018
https://doi.org/10.1109/W-FiCloud.2018.00014
Burgueno LBoubeta-Puig JVallecillo A(2018)Formalizing Complex Event Processing Systems in MaudeIEEE Access10.1109/ACCESS.2018.28311856(23222-23241)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2831185
Dayarathna MLi YWen YFan R(2017)Energy consumption analysis of data stream processingSoftware—Practice & Experience10.1002/spe.245847:10(1443-1462)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1002/spe.2458
Gradvohl A(2016)Investigating Metrics to Build a Benchmark Tool for Complex Event Processing Systems2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)10.1109/W-FiCloud.2016.40(143-147)Online publication date: Aug-2016
https://doi.org/10.1109/W-FiCloud.2016.40

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Towards a standard event processing benchmark

A scalable complex event processing system and evaluations of its performance

A complex event processing for large-scale M2M services and its performance evaluations