The Grid File

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    1984/03/23
  • Indian UGC (Journal)
  • Refrences
    32
  • Citations
    317
  • J. Nievergelt Institut für Informatik, ETH
  • Hans Hinterberger Institut für Informatik, ETH
  • Kenneth C. Sevcik University of Toronto
Abstract
Cite
Nievergelt, J., et al. “The Grid File”. ACM Transactions on Database Systems, vol. 9, no. 1, 1984, pp. 38-71, https://doi.org/10.1145/348.318586.
Nievergelt, J., Hinterberger, H., & Sevcik, K. C. (1984). The Grid File. ACM Transactions on Database Systems, 9(1), 38-71. https://doi.org/10.1145/348.318586
Nievergelt J, Hinterberger H, Sevcik KC. The Grid File. ACM Transactions on Database Systems. 1984;9(1):38-71.
Journal Categories
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Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
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Description

Need efficient multikey access to your records? This paper introduces the grid file, a dynamic file structure designed to treat all keys symmetrically, enabling efficient single record retrieval and range queries, particularly for highly dynamic files. Traditional file structures often struggle with multikey access, especially in dynamic environments. The grid file overcomes these limitations by employing a grid partition of the search space and a grid directory. This design allows the file system to adapt gracefully to insertions and deletions, maintaining an upper bound of two disk accesses for single record retrieval. This study provides a detailed exploration of the design decisions behind the grid file, presenting simulation results and comparing its performance to other multikey access file structures. The grid file offers a compelling solution for managing large, dynamic datasets where efficient multikey access is paramount.

Published in ACM Transactions on Database Systems, this paper fits the journal's focus on database design and performance. By introducing the grid file, a novel file structure, it aligns with the journal's scope of advancing data management techniques. The paper's detailed performance analysis and comparison to existing methods further contribute to the journal's emphasis on rigorous evaluation of database systems.

Refrences
Citations
Citations Analysis
The first research to cite this article was titled The Quadtree and Related Hierarchical Data Structures and was published in 1984. The most recent citation comes from a 2023 study titled The Quadtree and Related Hierarchical Data Structures . This article reached its peak citation in 1994 , with 16 citations.It has been cited in 115 different journals, 5% of which are open access. Among related journals, the ACM SIGMOD Record cited this research the most, with 35 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year