ACIC: Automatic cloud I/O configurator for parallel applications

Mingliang Liu, Ye Jin, Jidong Zhai, Yan Zhai, Qianqian Shi, Xiaosong Ma, Wenguang Chen

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

Abstract

To tackle the highlighted I/O bottleneck problem in cloud, we proposes ACIC, a system which automatically searches for optimized I/O system configurations from many candidates for each individual application running on a given cloud platform. The top ACIC-recommended configuration improves the applications? performance by a factor of up to 10.5 (3.0 on average), and cost saving of up to 89% (53% on average), compared with a commonly used baseline.

Original languageEnglish
Title of host publicationHPDC 2013 - Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing
Pages111-112
Number of pages2
DOIs
Publication statusPublished - 17 Jul 2013
Externally publishedYes
Event22nd ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2013 - New York, NY, United States
Duration: 17 Jun 201321 Jun 2013

Other

Other22nd ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2013
CountryUnited States
CityNew York, NY
Period17/6/1321/6/13

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Keywords

  • cloud computing
  • modeling
  • performance
  • storage

ASJC Scopus subject areas

  • Software

Cite this

Liu, M., Jin, Y., Zhai, J., Zhai, Y., Shi, Q., Ma, X., & Chen, W. (2013). ACIC: Automatic cloud I/O configurator for parallel applications. In HPDC 2013 - Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing (pp. 111-112) https://doi.org/10.1145/2462902.2462923