Distributed data access/find system with metadata for data-intensive computing

Minoru Ikebe, Atsuo Inomata, Kazutoshi Fujikawa, Hideki Sunahara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The data-intensive computing generates a huge number of data in wide area network. The DataGrid technology tries to manage such distributed data on the Internet to provide the quick and efficient data search/access mechanism. The difficulties of the data access on DataGrid systems is caused from the differences in the data managementmanner and policy among organizations which manage storage resources. In this paper, we propose the new distributed data management scheme and design for data-intensive computing. Especially, we focus on the data attributes. We define the pairs of data attribute and its values as its metadata. In our system, users can be find/access data with the metadata. We have been developing the prototype systems. We show the usage of our system with the applications.

Original languageEnglish
Title of host publicationProceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing, GRID 2008
Pages361-366
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 29
Event2008 9th IEEE/ACM International Conference on Grid Computing, GRID 2008 - Tsukuba, Japan
Duration: 2008 Sep 292008 Oct 1

Publication series

NameProceedings - IEEE/ACM International Workshop on Grid Computing
ISSN (Print)1550-5510

Other

Other2008 9th IEEE/ACM International Conference on Grid Computing, GRID 2008
CountryJapan
CityTsukuba
Period08/9/2908/10/1

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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    Ikebe, M., Inomata, A., Fujikawa, K., & Sunahara, H. (2008). Distributed data access/find system with metadata for data-intensive computing. In Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing, GRID 2008 (pp. 361-366). [4662823] (Proceedings - IEEE/ACM International Workshop on Grid Computing). https://doi.org/10.1109/GRID.2008.4662823