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 Aleatha Parker-Wood

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Bibliometrics: publication history
Average citations per article1.14
Citation Count8
Publication count7
Publication years2010-2017
Available for download4
Average downloads per article82.00
Downloads (cumulative)328
Downloads (12 Months)78
Downloads (6 Weeks)39
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1 published by ACM
December 2017 ACM Transactions on Storage (TOS) - Special Issue on MSST 2017 and Regular Papers: Volume 13 Issue 4, December 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 36,   Downloads (12 Months): 44,   Downloads (Overall): 44

Full text available: PDFPDF

April 2015 ICEIS 2015: Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1
Publisher: SCITEPRESS - Science and Technology Publications, Lda
Citation Count: 0

The data which knowledge workers need to conduct their work is stored across an increasing number of repositories and grows annually at a significant rate. It is therefore unreasonable to expect that knowledge workers can efficiently search and identify what they need across a myriad of locations where upwards of ...
Keywords: Enterprise, File Systems., Information Retrieval, Machine Learning

3 published by ACM
June 2014 SYSTOR 2014: Proceedings of International Conference on Systems and Storage
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 14,   Downloads (Overall): 109

Full text available: PDFPDF
File names are one of the earliest computing abstractions, a string of characters to uniquely identify a file for the system, and to help users remember the contents when they look for it later. They are also a rich source of semantic metadata about files. However, this metadata is unstructured ...

4 published by ACM
June 2013 SYSTOR '13: Proceedings of the 6th International Systems and Storage Conference
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 14,   Downloads (Overall): 105

Full text available: PDFPDF
While file system metadata is well characterized by a variety of workload studies, scientific metadata is much less well understood. We characterize scientific metadata, in order to better understand the implications for index design. Based on our findings, existing solutions for either file system or scientific search will not suffice ...
Keywords: file systems, index design, search, metadata, scientific data

5 published by ACM
November 2011 PDSW '11: Proceedings of the sixth workshop on Parallel Data Storage
Publisher: ACM
Citation Count: 3
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 65

Full text available: PDFPDF
While the amount of data we can process and store grows, our ability to find data remains dependent upon our own memories more often than not. Manual metadata management is common among scientific users, consuming their time while not making use of the computing resources at hand. Our system design ...
Keywords: provenance, ranking, indexing, naming

December 2010 IEEE Transactions on Information Forensics and Security: Volume 5 Issue 4, December 2010
Publisher: IEEE Press
Citation Count: 0

This paper presents a novel solution to the problem of determining the ownership of carved information found on disk drives and other storage media that have been used by more than one person. When a computer is subject to forensic examination, information may be found that cannot be readily ascribed ...
Keywords: Data mining, information security, forensics, data mining

May 2010 MSST '10: Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST)
Publisher: IEEE Computer Society
Citation Count: 3

Index partitioning techniques-where indexes are broken into multiple distinct sub-indexes-are a proven way to improve metadata search speeds and scalability for large file systems, permitting early triage of the file system. A partitioned metadata index can rule out irrelevant files and quickly focus on files that are more likely to ...

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