TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces

Bingzhe Li; Farnaz Toussi; Clark Anderson; David J. Lilja; David H.C. Du

doi:10.1109/NAS.2017.8026880

TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces

Bingzhe Li, Farnaz Toussi, Clark Anderson, David J. Lilja, David H.C. Du

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Adopting a new technology, such as a new storage system, is a complicated process because the supporting ecosystems also have to be changed. As a result, any new technology requires exhaustive performance evaluation to justify the cost of switching. However, synthetic workloads or benchmarks typically cannot completely characterize the actual workload. On the other hand, the time and effort required to obtain an appropriate trace can be prohibitive. This work presents a block-level performance measurement tool for storage systems combined with a trace re-player, a trace characteristics analyzer, and a trace re-generator. This new tool is compatible with several different platforms, including Linux and AIX. The purpose of the tool is to evaluate system performance when executing a given application, and to help users determine which system best fits their specific application. Additionally, the trace analyzer can provide details about the characteristics of a given trace. Using the trace analysis results, the re-generator can produce arbitrarily long I/O traces to improve the accuracy of the performance evaluation. The tool also can be used to determine whether a particular system can be adapted to a specific application, and to make comparisons between systems.

Original language	English (US)
Title of host publication	2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538634868
DOIs	https://doi.org/10.1109/NAS.2017.8026880
State	Published - Sep 6 2017
Event	2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Shenzhen, China Duration: Aug 7 2017 → Aug 9 2017

Publication series

Name	2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings

Other

Other	2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017
Country/Territory	China
City	Shenzhen
Period	8/7/17 → 8/9/17

Bibliographical note

Funding Information:
VIII. ACKNOWLEDGMENT This work was supported in part by the Center for Research in Intelligent Storage (CRIS), which is supported by National Science Foundation grant no. IIP-1439622 and member companies. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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10.1109/NAS.2017.8026880

Cite this

Li, B., Toussi, F., Anderson, C., Lilja, D. J., & Du, D. H. C. (2017). TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. In 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings [8026880] (2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAS.2017.8026880

TraceRAR : An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. / Li, Bingzhe; Toussi, Farnaz; Anderson, Clark; Lilja, David J.; Du, David H.C.

2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8026880 (2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, B, Toussi, F, Anderson, C, Lilja, DJ & Du, DHC 2017, TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. in 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings., 8026880, 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017, Shenzhen, China, 8/7/17. https://doi.org/10.1109/NAS.2017.8026880

Li B, Toussi F, Anderson C, Lilja DJ , Du DHC. TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. In 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 8026880. (2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings). https://doi.org/10.1109/NAS.2017.8026880

Li, Bingzhe ; Toussi, Farnaz ; Anderson, Clark ; Lilja, David J. ; Du, David H.C. / TraceRAR : An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. 2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 IEEE International Conference on Networking, Architecture, and Storage, NAS 2017 - Proceedings).

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abstract = "Adopting a new technology, such as a new storage system, is a complicated process because the supporting ecosystems also have to be changed. As a result, any new technology requires exhaustive performance evaluation to justify the cost of switching. However, synthetic workloads or benchmarks typically cannot completely characterize the actual workload. On the other hand, the time and effort required to obtain an appropriate trace can be prohibitive. This work presents a block-level performance measurement tool for storage systems combined with a trace re-player, a trace characteristics analyzer, and a trace re-generator. This new tool is compatible with several different platforms, including Linux and AIX. The purpose of the tool is to evaluate system performance when executing a given application, and to help users determine which system best fits their specific application. Additionally, the trace analyzer can provide details about the characteristics of a given trace. Using the trace analysis results, the re-generator can produce arbitrarily long I/O traces to improve the accuracy of the performance evaluation. The tool also can be used to determine whether a particular system can be adapted to a specific application, and to make comparisons between systems.",

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TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces

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