E2FS: an elastic storage system for cloud computing
1
Pace University, New York, USA
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3
School of Computer Science and Information Technology, Hubei Engineering University, Hubei, China
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Publication type: Journal Article
Publication date: 2016-08-27
scimago Q2
wos Q2
SJR: 0.716
CiteScore: 7.1
Impact factor: 2.7
ISSN: 09208542, 15730484
Hardware and Architecture
Information Systems
Software
Theoretical Computer Science
Abstract
In cloud storage, replication technologies are essential to fault tolerance and high availability of data. While achieving the goal of high availability, replication brings extra number of active servers to the storage system. Extra active servers mean extra power consumption and capital expenditure. Furthermore, the lack of classification of data makes replication scheme fixed at the very beginning. This paper proposes an elastic and efficient file storage called E2FS for big data applications. E2FS can dynamically scale in/out the storage system based on real-time demands of big data applications. We adopt a novel replication scheme based on data blocks, which provides a fine-grained maintenance of the data in the storage system. E2FS analyzes features of data and makes dynamic replication decision to balance the cost and performance of cloud storage. To evaluate the performance of proposed work, we implement a prototype of E2FS and compare it with HDFS. Our experiments show E2FS can outperform HDFS in elasticity while achieving guaranteed performance for big data applications.
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GOST
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CHEN L. et al. E2FS: an elastic storage system for cloud computing // Journal of Supercomputing. 2016. Vol. 74. No. 3. pp. 1045-1060.
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CHEN L., Qiu M., Song J., Xiong Z., Hassan H. E2FS: an elastic storage system for cloud computing // Journal of Supercomputing. 2016. Vol. 74. No. 3. pp. 1045-1060.
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RIS
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TY - JOUR
DO - 10.1007/s11227-016-1827-3
UR - https://doi.org/10.1007/s11227-016-1827-3
TI - E2FS: an elastic storage system for cloud computing
T2 - Journal of Supercomputing
AU - CHEN, LONGBIN
AU - Qiu, Meikang
AU - Song, Jeungeun
AU - Xiong, Zenggang
AU - Hassan, Houcine
PY - 2016
DA - 2016/08/27
PB - Springer Nature
SP - 1045-1060
IS - 3
VL - 74
SN - 0920-8542
SN - 1573-0484
ER -
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BibTex (up to 50 authors)
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@article{2016_CHEN,
author = {LONGBIN CHEN and Meikang Qiu and Jeungeun Song and Zenggang Xiong and Houcine Hassan},
title = {E2FS: an elastic storage system for cloud computing},
journal = {Journal of Supercomputing},
year = {2016},
volume = {74},
publisher = {Springer Nature},
month = {aug},
url = {https://doi.org/10.1007/s11227-016-1827-3},
number = {3},
pages = {1045--1060},
doi = {10.1007/s11227-016-1827-3}
}
Cite this
MLA
Copy
CHEN, LONGBIN, et al. “E2FS: an elastic storage system for cloud computing.” Journal of Supercomputing, vol. 74, no. 3, Aug. 2016, pp. 1045-1060. https://doi.org/10.1007/s11227-016-1827-3.