Acceleration of analysis processing on decentralized performance profiling system using virtual machines

Masao Yamamoto, Kohta Nakashima, Toshihiro Yamauchi, Akira Nagoya, Hideo Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To detect the performance anomaly of a computer, as a structure for continuous performance profiling, decentralization of the performance profiling system using virtual machines has been proposed. Moreover, there have already been evaluation results reported regarding overhead, including data storing, and data sampling stall time. On the other hand, for continuous performance profiling, the continuous processing of performance profiling is needed, including not only data sampling and data storing but also analysis processing. Therefore, first, this paper describes a relationship condition among data sampling time, data storing time, and analysis processing time as the necessary condition for continuous performance profiling on a decentralized performance profiling system. Second, in order to satisfy the relationship condition, we propose a concurrent operation technique as the acceleration method of analysis processing for a decentralized performance profiling system. Finally, this paper presents quantitative evaluations of the proposed method, including the case of a multi-VMM environment.

Original languageEnglish
Title of host publicationProceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages152-158
Number of pages7
ISBN (Electronic)9781538691847
DOIs
Publication statusPublished - Dec 26 2018
Event6th International Symposium on Computing and Networking Workshops, CANDARW 2018 - Takayama, Japan
Duration: Nov 27 2018Nov 30 2018

Publication series

NameProceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018

Conference

Conference6th International Symposium on Computing and Networking Workshops, CANDARW 2018
CountryJapan
CityTakayama
Period11/27/1811/30/18

Keywords

  • Analysis Processing
  • Concurrent Operation
  • Decentralization
  • Performance Profiling
  • Virtual Machine

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Statistics, Probability and Uncertainty
  • Computer Science Applications

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  • Cite this

    Yamamoto, M., Nakashima, K., Yamauchi, T., Nagoya, A., & Taniguchi, H. (2018). Acceleration of analysis processing on decentralized performance profiling system using virtual machines. In Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018 (pp. 152-158). [8590889] (Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CANDARW.2018.00035