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Cited by 601

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The Globus Striped GridFTP Framework and Server

Allcock, W., Bresnahan, J., Kettimuthu, R., Link, M.·2005·ACM/IEEE SC 2005 Conference (SC'05)

Abstract

The GridFTP extensions to the File Transfer Protocol define a general-purpose mechanism for secure, reliable, high-performance data movement. We report here on the Globus striped GridFTP framework, a set of client and server libraries designed to support the construction of data-intensive tools and applications. We describe the design of both this framework and a striped GridFTP server constructed within the framework. We show that this server is faster than other FTP servers in both single-process and striped configurations, achieving, for example, speeds of 27.3 Gbit/s memory-to-memory and 17 Gbit/s disk-to-disk over a 60 millisecond round trip time, 30 Gbit/s network. In another experiment, we show that the server can support 1800 concurrent clients without excessive load. We argue that this combination of performance and modular structure make the Globus GridFTP framework both a good foundation on which to build tools and applications, and a unique testbed for the study of innovative data management techniques and network protocols.

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Metadata

Authors
Allcock, W., Bresnahan, J., Kettimuthu, R., & Link, M.
Venue
ACM/IEEE SC 2005 Conference (SC'05)
Publisher
IEEE
Published
2005
Pages
54-54
ISSN
1063-9535 (ISSN-L)
OpenAlex
W2146176543
Cited by
601
References
27
FWCI
29.25
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Globus Striped GridFTP Framework and Server. https://app.cochat.ai/papers/10.1109/sc.2005.72
The paper
Allcock, W., Bresnahan, J., Kettimuthu, R., & Link, M. (2005). The Globus Striped GridFTP Framework and Server. ACM/IEEE SC 2005 Conference (SC'05). https://doi.org/10.1109/sc.2005.72

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.