Previous works have studied the throughput allocation of the heterogeneous storage system consisting of SSD and HDD in the dynamic setting where users are not all present in the system simultaneously, but those researches make multiple servers as one large resource pool, and cannot cope with the multi-server environment. We design a dynamic throughput allocation mechanism named DAM, which can handle the throughput allocation of multiple heterogeneous servers in the dynamic setting, and can provide a number of desirable properties. The experimental results show that DAM can make one dynamic throughput allocation of multiple servers for making sure users' local allocations in each server, and can provide one efficient and fair throughput allocation in the whole system.
Zhisheng HUO
Beihang University, Beijing,Beihang University
Limin XIAO
Beihang University, Beijing,Beihang University
Zhenxue HE
Hebei Agricultural University
Xiaoling RONG
Beijing Language and Culture University
Bing WEI
Beihang University, Beijing,Beihang University
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Zhisheng HUO, Limin XIAO, Zhenxue HE, Xiaoling RONG, Bing WEI, "Dynamic Throughput Allocation among Multiple Servers for Heterogeneous Storage System" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 9, pp. 1731-1739, September 2019, doi: 10.1587/transinf.2018EDP7431.
Abstract: Previous works have studied the throughput allocation of the heterogeneous storage system consisting of SSD and HDD in the dynamic setting where users are not all present in the system simultaneously, but those researches make multiple servers as one large resource pool, and cannot cope with the multi-server environment. We design a dynamic throughput allocation mechanism named DAM, which can handle the throughput allocation of multiple heterogeneous servers in the dynamic setting, and can provide a number of desirable properties. The experimental results show that DAM can make one dynamic throughput allocation of multiple servers for making sure users' local allocations in each server, and can provide one efficient and fair throughput allocation in the whole system.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7431/_p
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@ARTICLE{e102-d_9_1731,
author={Zhisheng HUO, Limin XIAO, Zhenxue HE, Xiaoling RONG, Bing WEI, },
journal={IEICE TRANSACTIONS on Information},
title={Dynamic Throughput Allocation among Multiple Servers for Heterogeneous Storage System},
year={2019},
volume={E102-D},
number={9},
pages={1731-1739},
abstract={Previous works have studied the throughput allocation of the heterogeneous storage system consisting of SSD and HDD in the dynamic setting where users are not all present in the system simultaneously, but those researches make multiple servers as one large resource pool, and cannot cope with the multi-server environment. We design a dynamic throughput allocation mechanism named DAM, which can handle the throughput allocation of multiple heterogeneous servers in the dynamic setting, and can provide a number of desirable properties. The experimental results show that DAM can make one dynamic throughput allocation of multiple servers for making sure users' local allocations in each server, and can provide one efficient and fair throughput allocation in the whole system.},
keywords={},
doi={10.1587/transinf.2018EDP7431},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Dynamic Throughput Allocation among Multiple Servers for Heterogeneous Storage System
T2 - IEICE TRANSACTIONS on Information
SP - 1731
EP - 1739
AU - Zhisheng HUO
AU - Limin XIAO
AU - Zhenxue HE
AU - Xiaoling RONG
AU - Bing WEI
PY - 2019
DO - 10.1587/transinf.2018EDP7431
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2019
AB - Previous works have studied the throughput allocation of the heterogeneous storage system consisting of SSD and HDD in the dynamic setting where users are not all present in the system simultaneously, but those researches make multiple servers as one large resource pool, and cannot cope with the multi-server environment. We design a dynamic throughput allocation mechanism named DAM, which can handle the throughput allocation of multiple heterogeneous servers in the dynamic setting, and can provide a number of desirable properties. The experimental results show that DAM can make one dynamic throughput allocation of multiple servers for making sure users' local allocations in each server, and can provide one efficient and fair throughput allocation in the whole system.
ER -