PXFS: A persistent storage model for extreme scale. Yang, S., Brodowicz, M., Ligon III, W., B., & Kaiser, H. In 2014 International Conference on Computing, Networking and Communications, ICNC 2014, pages 900-906, 2014. IEEE Computer Society.
PXFS: A persistent storage model for extreme scale [link]Website  doi  abstract   bibtex   
The continuing technological progress resulted in sustained increase in the number of transistors per chip as well as improved energy efficiency per FLOPS. This spurred a dramatic growth in aggregate computational performance of the largest supercomputing systems, yielding multiple Petascale implementations deployed in various locations over the world. Unfortunately, these advances did not translate to the required extent into accompanying I/O systems, which primarily saw the improvement in cumulative storage sizes required to match the ever expanding volume of scientific data sets, but little more in terms of architecture or effective access latency. Moreover, while new models of computations are formulated to handle the burden of efficiently structuring the parallel computations in anticipation of the arrival of Exascale systems, a meager progress is observed in the area of storage subsystems. New classes of algorithms developed for massively parallel applications, that gracefully handle the challenges of asynchrony, heavily multithreaded distributed codes, and message-driven computation, must be matched by similar advances in I/O methods and algorithms to produce a well performing and balanced supercomputing system. This paper discusses PXFS, a file system model for persistent objects inspired by the ParalleX model of execution that addresses many of these challenges. An early implementation of PXFS utilizing a well known Orange parallel file system as its back-end via asynchronous I/O layer is also described along with the preliminary performance data. The results show perfect scalability and 3x to 20x times speedup of I/O throughput performance comparing to OrangeFS user interface. Also the PXFS module on OrangeFS with 24 clients sees a 5x to 10x times more throughput than NFS. © 2014 IEEE.
@inproceedings{
 title = {PXFS: A persistent storage model for extreme scale},
 type = {inproceedings},
 year = {2014},
 keywords = {Algorithms; Digital storage; Energy efficiency; Fi,Computational performance; Massively parallels; M,Distributed computer systems},
 pages = {900-906},
 websites = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899566905&doi=10.1109%2FICCNC.2014.6785457&partnerID=40&md5=5328204bef92e19ea687fea548b4682d},
 publisher = {IEEE Computer Society},
 city = {Honolulu, HI},
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 created = {2018-01-08T19:03:41.992Z},
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 citation_key = {Yang2014900},
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 notes = {cited By 1; Conference of 2014 International Conference on Computing, Networking and Communications, ICNC 2014 ; Conference Date: 3 February 2014 Through 6 February 2014; Conference Code:104772},
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 abstract = {The continuing technological progress resulted in sustained increase in the number of transistors per chip as well as improved energy efficiency per FLOPS. This spurred a dramatic growth in aggregate computational performance of the largest supercomputing systems, yielding multiple Petascale implementations deployed in various locations over the world. Unfortunately, these advances did not translate to the required extent into accompanying I/O systems, which primarily saw the improvement in cumulative storage sizes required to match the ever expanding volume of scientific data sets, but little more in terms of architecture or effective access latency. Moreover, while new models of computations are formulated to handle the burden of efficiently structuring the parallel computations in anticipation of the arrival of Exascale systems, a meager progress is observed in the area of storage subsystems. New classes of algorithms developed for massively parallel applications, that gracefully handle the challenges of asynchrony, heavily multithreaded distributed codes, and message-driven computation, must be matched by similar advances in I/O methods and algorithms to produce a well performing and balanced supercomputing system. This paper discusses PXFS, a file system model for persistent objects inspired by the ParalleX model of execution that addresses many of these challenges. An early implementation of PXFS utilizing a well known Orange parallel file system as its back-end via asynchronous I/O layer is also described along with the preliminary performance data. The results show perfect scalability and 3x to 20x times speedup of I/O throughput performance comparing to OrangeFS user interface. Also the PXFS module on OrangeFS with 24 clients sees a 5x to 10x times more throughput than NFS. © 2014 IEEE.},
 bibtype = {inproceedings},
 author = {Yang, S and Brodowicz, M and Ligon III, W B and Kaiser, H},
 doi = {10.1109/ICCNC.2014.6785457},
 booktitle = {2014 International Conference on Computing, Networking and Communications, ICNC 2014}
}

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