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Cited by 351

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

A taxonomy of Data Grids for distributed data sharing, management, and processing

Open access
Venugopal, Srikumar, Buyya, Rajkumar, Ramamohanarao, Kotagiri·2006·ACM Computing Surveys

Abstract

Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks, and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation, and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration.

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Metadata

Authors
Venugopal, S., Buyya, R., & Ramamohanarao, K.
Venue
ACM Computing Surveys
Published
2006-06-29
Volume
38
Issue
1
Pages
3
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
OpenAlex
W2007178619
Cited by
351
References
72
FWCI
61.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A taxonomy of Data Grids for distributed data sharing, management, and processing. https://app.cochat.ai/papers/10.1145/1132952.1132955
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Venugopal, S., Buyya, R., & Ramamohanarao, K. (2006). A taxonomy of Data Grids for distributed data sharing, management, and processing. ACM Computing Surveys. https://doi.org/10.1145/1132952.1132955

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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.