SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper
Authors: 
André Bauer, 
Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, 
Benjamin Erb, Jörg Domaschka, 
Pooyan JamshidiAuthors Info & Claims
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan JamshidiAuthors Info & ClaimsPages 13 - 14
Abstract
The research field of data analytics has grown significantly with the increase of gathered and available data. Accordingly, a large number of tools, metrics, and best practices have been proposed to make sense of this vast amount of data. To this end, benchmarking and standardization are needed to understand the proposed approaches better and continuously improve them. For this purpose, numerous associations and committees exist. One of them is SPEC (Standard Performance Evaluation Corporation), a non-profit corporation for the standardization and benchmarking of performance and energy evaluations. This paper gives an overview of the recently established SPEC RG Predictive Data Analytics Working Group. The mission of this group is to foster interaction between industry and academia by contributing research to the standardization and benchmarking of various aspects of data analytics.
References
[1]
Walter Bays and Klaus-Dieter Lange. 2012. Spec: driving better benchmarks. In Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering. 249--250.
[2]
Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, and Andrè Bauer. 2022. Change Point Detection for MongoDB Time Series Performance Regression. In Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering .
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- SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper
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Information
Published In
July 2022
166 pages
ISBN:9781450391597
DOI:10.1145/3491204
- General Chairs:
- Dan Feng,
- Steffen Becker,
- Program Chairs:
- Nikolas Herbst,
- Philipp Leitner
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 19 July 2022
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ICPE '22
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ICPE '22: ACM/SPEC International Conference on Performance Engineering
April 9 - 13, 2022
Bejing, China
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ICPE '22 Paper Acceptance Rate 14 of 58 submissions, 24%;
Overall Acceptance Rate 252 of 851 submissions, 30%
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