NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
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
19960008286
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
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
Computer Programming And Software
Accession Number
96N15452
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Available Downloads

There are no available downloads for this record.
No Preview Available