- 著者
- Daniel Liwei Wang Jacek Becla Kian-Tat Lim
- 出版者
- CODATA
- 雑誌
- Data Science Journal (ISSN:16831470)
- 巻号頁・発行日
- vol.12, pp.23-32, 2013 (Released:2013-05-13)
- 被引用文献数
- 1
Petascale data management and analysis remain one of the main unresolved challenges in today's computing. The 6th Extremely Large Databases workshop was convened alongside the XLDB conference to discuss the challenges in the health care, biology, and natural resources communities. The role of cloud computing, the dominance of file-based solutions in science applications, in-situ and predictive analysis, and commercial software use in academic environments were discussed in depth as well. This paper summarizes the discussions of this workshop.
- 著者
- Jacek Becla Kian-Tat Lim Daniel Liwei Wang
- 出版者
- CODATA
- 雑誌
- Data Science Journal (ISSN:16831470)
- 巻号頁・発行日
- vol.8, pp.MR1-MR16, 2010-02-24 (Released:2010-02-24)
- 被引用文献数
- 3
Academic and industrial users are increasingly facing the challenge of petabytes of data, but managing and analyzing such large data sets still remains a daunting task. Both the database and the map/reduce communities worldwide are working on addressing these issues. The 3rd Extremely Large Databases workshop was organized to examine the needs of scientific communities beginning to face these issues, to reach out to European communities working on extremely large scale data challenges, and to brainstorm possible solutions. The science benchmark that emerged from the 2nd workshop in this series was also debated. This paper is the final report of the discussions and activities at this workshop.