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Selecting a general-purpose data compression algorithmThe National Space Science Data Center's Common Data Formate (CDF) is capable of storing many types of data such as scalar data items, vectors, and multidimensional arrays of bytes, integers, or floating point values. However, regardless of the dimensionality and data type, the data break down into a sequence of bytes that can be fed into a data compression function to reduce the amount of data without losing data integrity and thus remaining fully reconstructible. Because of the diversity of data types and high performance speed requirements, a general-purpose, fast, simple data compression algorithm is required to incorporate data compression into CDF. The questions to ask are how to evaluate and compare compression algorithms, and what compression algorithm meets all requirements. The object of this paper is to address these questions and determine the most appropriate compression algorithm to use within the CDF data management package that would be applicable to other software packages with similar data compression needs.
Document ID
Document Type
Conference Paper
Mathews, Gary Jason (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 6, 2013
Publication Date
October 1, 1995
Publication Information
Publication: The 1995 Science Information Management and Data Compression Workshop
Subject Category
Distribution Limits
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19960008280Analytic PrimaryThe 1995 Science Information Management and Data Compression Workshop