The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments (Invited Demonstration Paper)
Pages 107 - 108
Abstract
The ever-increasing I/O resource demands pose significant challenges for today's system environments to meet performance requirements. The resource demand effects are even magnified in modern virtualized environments where workloads are consolidated to save hardware and operating costs. Tool-supported analysis approaches can help to understand I/O performance characteristics and avoid I/O performance and interference issues. In this demo paper, we present the Storage Performance Analyzer (SPA) - a tool for automated I/O performance analysis. SPA is equipped with tailored features for virtualized environments allowing to measure, monitor, and model both I/O performance and interference effects in modern environments. SPA is open-source and available for common operating systems.
References
[1]
The Storage Performance Analyzer (SPA). http://storageperformanceanalyzer.github.io/SPA/.
[2]
Qais Noorshams, Samuel Kounev, and Ralf Reussner. Experimental Evaluation of the Performance-Influencing Factors of Virtualized Storage Systems. In EPEW '12.
[3]
Qais Noorshams, Dominik Bruhn, Samuel Kounev, and Ralf Reussner. Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques. In ICPE '13.
[4]
Qais Noorshams, Kiana Rostami, Samuel Kounev, Petr Tuma, and Ralf Reussner. I/O Performance Modeling of Virtualized Storage Systems. In MASCOTS '13.
[5]
Qais Noorshams, Axel Busch, Andreas Rentschler, Dominik Bruhn, Samuel Kounev, Petr Tuma, and Ralf Reussner. Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems. In DCPerf '14.
[6]
Qais Noorshams, Roland Reeb, Andreas Rentschler, Samuel Kounev, and Ralf Reussner. Enriching software architecture models with statistical models for performance prediction in modern storage environments. In CBSE '14.
[7]
Qais Noorshams, Kiana Rostami, Samuel Kounev, and Ralf Reussner. Modeling of I/O Performance Interference in Virtualized Environments with Queueing Petri Nets. In MASCOTS '14.
[8]
Axel Busch, Qais Noorshams, Samuel Kounev, Anne Koziolek, Ralf Reussner, and Erich Amrehn. Automated Workload Characterization for I/O Performance Analysis in Virtualized Environments. In ICPE '15.
Index Terms
- The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments (Invited Demonstration Paper)
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Information & Contributors
Information
Published In
January 2015
366 pages
ISBN:9781450332484
DOI:10.1145/2668930
- General Chairs:
- Lizy K. John,
- Connie U. Smith,
- Program Chairs:
- Kai Sachs,
- Catalina M. Lladó
Copyright © 2015 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
Publication History
Published: 31 January 2015
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- Invited-talk
Conference
ICPE'15
Sponsor:
ICPE'15: ACM/SPEC International Conference on Performance Engineering
January 28 - February 4, 2015
Texas, Austin, USA
Acceptance Rates
ICPE '15 Paper Acceptance Rate 23 of 74 submissions, 31%;
Overall Acceptance Rate 252 of 851 submissions, 30%
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