Evaluation model for long term data archiving systems in the context of Earth Observation

Author

Perez, Ruben F. ; Perez, Oscar ; Portela, Oscar ; Saenz, Antonio ; Nieto, Amalio ; Leone, Rosemarie ; Albani, Mirko ; Beruti, Vincenzo

Author_Institution

GMV Innovating Solutions, Madrid, Spain

fYear

2011

fDate

23-27 May 2011

Firstpage

1

Lastpage

5

Abstract

The Long term data Archive Study on new Technologies (LAST) project aims to assess and benchmark long term data archival technologies supporting the European Space Agency Earth Observation Long Term Data Preservation Program. A classification of technologies is performed in the main technological areas involved in Long Term Archiving. An evaluation method based in Analytic Hierarchy Process is used to identify the most appropriate technologies in each technological area, addressing with the specific user preferences and the identification of relevant evaluation criteria (i.e. evaluation model). As a case of study, an evaluation model is defined for Storage Hardware Systems, considered as a main Technological Area in Long Term Archiving.

Keywords

decision making; information retrieval systems; European Space Agency; analytic hierarchy process; classification; earth observation; long term data archiving system; long term data preservation program; storage hardware system; Earth; Europe; Guidelines; Hardware; ISO standards; Libraries; Maintenance engineering; Analytic Hierarchy Process; Archiving (Long-Term); ECV; ESA; Essential Climate Variable; HPA; LAST; LTDP; Method (Evaluation); Model (Evaluation); Technologies (Archiving);

fLanguage

English

Publisher

ieee

Conference_Titel

Mass Storage Systems and Technologies (MSST), 2011 IEEE 27th Symposium on

Conference_Location

Denver, CO

ISSN

2160-195X

Print_ISBN

978-1-4577-0427-7

Electronic_ISBN

2160-195X

Type

conf

DOI

10.1109/MSST.2011.5937234

Filename

5937234