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Benchmarking Automated Hardware Management Technologies for Modern Data Centers and Cloud Environments

Published:05 December 2017Publication History

ABSTRACT

Traditional management standards are often insufficient to manage modern data centers at large scale, which motivates the community to propose and develop new management standards. The most popular traditional standard for monitoring and controlling the health and functionality of a system at hardware layer is Intelligent Platform Management Interface (IPMI). Redfish is a new hardware-based management technology designed as the next-generation management standard. The goal of this study is to investigate hardware management technologies and to find out if they are powerful enough to meet demands of modern data centers. Particularly, we focused on Redfish and IPMI, and we benchmarked and compared them from four different aspects: latency, scalability, reliability, and security. Our result shows that there is a trade-off between improving the performance of a system and increasing the security and the reliability of that. Our results show that Redfish is more secure and more reliable, but the performance of IPMI tends to be better.

References

  1. DMTF. 2017. Redfishtool. (2017). https://github.com/DMTF/RedfishtoolGoogle ScholarGoogle Scholar
  2. BSD License. 2017. IPMItool. (2017). https://sourceforge.net/projects/ipmitool/Google ScholarGoogle Scholar

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  1. Benchmarking Automated Hardware Management Technologies for Modern Data Centers and Cloud Environments

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          • Published in

            cover image ACM Conferences
            UCC '17: Proceedings of the10th International Conference on Utility and Cloud Computing
            December 2017
            222 pages
            ISBN:9781450351492
            DOI:10.1145/3147213

            Copyright © 2017 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.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 5 December 2017

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            • poster

            Acceptance Rates

            UCC '17 Paper Acceptance Rate17of63submissions,27%Overall Acceptance Rate38of125submissions,30%

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