A Parallel File System with Application-Aware Data Layout Policies for Massive Remote Sensing Image Processing in Digital Earth
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 226311-197872-1292
- Type
- D - Journal article
- DOI
-
10.1109/TPDS.2014.2322362
- Title of journal
- IEEE Transactions on Parallel and Distributed Systems
- Article number
- -
- First page
- 1497
- Volume
- 26
- Issue
- 6
- ISSN
- 1045-9219
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1109/TPDS.2014.2322362
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
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F - Networked and Ubiquitous Systems Engineering (NUSE)
- Citation count
- 44
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper, resulting from an international collaboration, introduces a parallel file system optimised for remote sensing images in Digital Earth. The system allows for significant efficiency saving (20-30%). The research was published in a leading journal in computing systems research area (Google Scholar), and its wider significance and influence is evidenced by the citation statistics available from Google (64), Scopus (51), and Web-of-Science (44). The paper was selected as the ‘Spotlight Paper’ by IEEE TPDS (June 2015).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -