MPISec I/O: Providing data confidentiality in MPI-I/O

Ramya Prabhakar, Christina Patrick, Mahmut Kandemir

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

8 Scopus citations

Abstract

Applications performing scientific computations or processing streaming media benefit from parallel I/O significantly, as they operate on large data sets that require large I/O. MPI-I/O is a commonly used library interface in parallel applications to perform I/O efficiently. Optimizations like collective-I/O embedded in MPI-I/O allow multiple processes executing in parallel to perform I/O by merging requests of other processes and sharing them later. In such a scenario, preserving confidentiality of disk-resident data from unauthorized accesses by processes without significantly impacting performance of the application is a challenging task. In this paper, we evaluate the impact of ensuring data-confidentiality in MPI-I/O on the performance of parallel applications and provide an enhanced interface, called MPISec I/O, which brings an average overhead of only 5.77% over MPI-I/O in the best case, and about 7.82% in the average case.

Original languageEnglish (US)
Title of host publication2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009
Pages388-395
Number of pages8
DOIs
StatePublished - Oct 13 2009
Event2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009 - Shanghai, China
Duration: May 18 2009May 21 2009

Publication series

Name2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009

Other

Other2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009
CountryChina
CityShanghai
Period5/18/095/21/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software

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    Prabhakar, R., Patrick, C., & Kandemir, M. (2009). MPISec I/O: Providing data confidentiality in MPI-I/O. In 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009 (pp. 388-395). [5071896] (2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009). https://doi.org/10.1109/CCGRID.2009.53