A DHT-Based Data Extraction Scheme for Geographical Ocean Data
C. Fan, Y. Chang, and H. Lai. Emerging Intelligent Data and Web Technologies (EIDWT), 2011 International Conference on, page 30-35. (September 2011)
DOI: 10.1109/EIDWT.2011.14
Abstract
There are large scientific data archives manage and store huge quantities of data, deal with this data throughout its life cycle, and focus on particular scientific domains. These scientific data is usually generated by specific devices or sensors. While the number of sensed data file is daily increased, utilizing an efficient to access daily-incremental data set is increasing important. In this paper, we propose a DHT-based (Distributed Hash Table) data extraction scheme to speedup data extraction for geographical ocean data. We conduct some experiments to evaluate the performance of the proposed approach and make a comparison with traditional approach and existing system. It shows that the proposed approach is better in terms of performance.
Description
IEEE Xplore Abstract - A DHT-Based Data Extraction Scheme for Geographical Ocean Data
%0 Conference Paper
%1 6076417
%A Fan, Chih-Tien
%A Chang, Yue-Shan
%A Lai, Hsuan-Jen
%B Emerging Intelligent Data and Web Technologies (EIDWT), 2011 International Conference on
%D 2011
%K data mining
%P 30-35
%R 10.1109/EIDWT.2011.14
%T A DHT-Based Data Extraction Scheme for Geographical Ocean Data
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6076417
%X There are large scientific data archives manage and store huge quantities of data, deal with this data throughout its life cycle, and focus on particular scientific domains. These scientific data is usually generated by specific devices or sensors. While the number of sensed data file is daily increased, utilizing an efficient to access daily-incremental data set is increasing important. In this paper, we propose a DHT-based (Distributed Hash Table) data extraction scheme to speedup data extraction for geographical ocean data. We conduct some experiments to evaluate the performance of the proposed approach and make a comparison with traditional approach and existing system. It shows that the proposed approach is better in terms of performance.
@inproceedings{6076417,
abstract = {There are large scientific data archives manage and store huge quantities of data, deal with this data throughout its life cycle, and focus on particular scientific domains. These scientific data is usually generated by specific devices or sensors. While the number of sensed data file is daily increased, utilizing an efficient to access daily-incremental data set is increasing important. In this paper, we propose a DHT-based (Distributed Hash Table) data extraction scheme to speedup data extraction for geographical ocean data. We conduct some experiments to evaluate the performance of the proposed approach and make a comparison with traditional approach and existing system. It shows that the proposed approach is better in terms of performance.},
added-at = {2014-04-25T10:00:36.000+0200},
author = {Fan, Chih-Tien and Chang, Yue-Shan and Lai, Hsuan-Jen},
biburl = {https://www.bibsonomy.org/bibtex/2f92b8f6468215749618ef046aede88df/timfan3939},
booktitle = {Emerging Intelligent Data and Web Technologies (EIDWT), 2011 International Conference on},
description = {IEEE Xplore Abstract - A DHT-Based Data Extraction Scheme for Geographical Ocean Data},
doi = {10.1109/EIDWT.2011.14},
interhash = {4d92480d5b5edc6c6141e6500c327147},
intrahash = {f92b8f6468215749618ef046aede88df},
keywords = {data mining},
month = {Sept},
pages = {30-35},
timestamp = {2014-04-25T10:00:36.000+0200},
title = {A DHT-Based Data Extraction Scheme for Geographical Ocean Data},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6076417},
year = 2011
}