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Measurements and analytics of wide-area file transfers over dedicated connections

N. Rao,Qiang Liu,S. Sen,Zhengchun Liu,R. Kettimuthu,Ian T Foster

Published 2019 in International Conference of Distributed Computing and Networking

ABSTRACT

Distributed scientific and big-data computations are becoming increasingly dependent on access to remote files. Wide-area file transfers are supported by two basic schemes: (i) application-level tools, such as GridFTP, that provide transport services between file systems housed at geographically separated sites, and (ii) file systems mounted over wide-area networks, using mechanisms such as LNet routers that make them transparently available. In both cases, the file transfer performance critically depends on the configuration consisting of host, file, IO, and disk subsystems, which are complex by themselves, as well as on their complex compositions implemented using buffers and IO-network data transitions. We present extensive file transfer rate measurements collected over dedicated 10 Gbps connections with 0-366 ms round-trip times, using GridFTP and XDD file transfer tools, and Lustre file system extended over wide-area networks using LNet routers. Our test configurations are composed of: three types of host systems; XFS, Lustre, and ext3 file systems; and Ethernet and SONET wide-area connections. We present analytics based on the convexity-concavity of throughput profiles which provide insights into throughput and its superior or inferior trend compared to linear interpolations. We propose the utilization-concavity coefficient, a scalar metric that characterizes the overall performance of any file transfer method consisting of specific configuration and scheme. Our results enable performance optimizations by highlighting the significant roles of (i) buffer sizes and parallelism in GridFTP and XDD, and (ii) buffer utilization and credit mechanism in LNet routers.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    International Conference of Distributed Computing and Networking

  • Publication date

    2019-01-04

  • Fields of study

    Computer Science

  • Identifiers
    DOI 10.1145/3288599.3288641
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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