Constarium
← Search

Data · dataset · 2026

Using data science to understand tape-based archive workloads

Listed in National Center for Atmospheric Research

Data storage needs continue to grow in most fields, and the cost per byte for tape remains lower than the cost for disk, making tape storage a good candidate for cost-effective long-term storage.

Description

However, the workloads suitable for tape archives differ from those for disk file systems, and archives must handle internally generated workloads that can be more demanding than those generated by end users (e.g., migration of data from an old tape technology to a new one).

To better understand the variegated workloads, we have followed the first steps in the data science methodology. For anyone considering the use or deployment of a tape-based data archive or for anyone interested in details of data archives in the context of data science, this paper describes key aspects of data archive workloads.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research013a3e65-2010-4d54-ae08-fcc354e13c7d10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0