Cloud storage has become popular and is being used to hold important data. As a result, availability to become important; cloud storage providers should allow users to upload or download data even if some part of the system has failed. In this paper, we discuss distributed cloud storage that is robust against failures. In distributed cloud storage, multiple replicas of each data chunk are stored in the virtual storage at geographically different locations. Thus, even if one of the virtual storage systems becomes unavailable, users can access the data chunk from another virtual storage system. In distributed cloud storage, the placement of the virtual storage system is important; if the placement of the virtual cloud storage system means that a large number of virtual storages are possible could become unavailable from a failure, a large number of replicas of each data chunk should be prepared to maintain availability. In this paper, we propose a virtual storage placement method that assures availability with a small number of replicas. We evaluated our method by comparing it with three other methods. The evaluation shows that our method can maintain availability while requiring only with 60% of the network costs required by the compared methods.
Yuya TARUTANI
Osaka University
Yuichi OHSITA
Osaka University
Masayuki MURATA
Osaka University
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Yuya TARUTANI, Yuichi OHSITA, Masayuki MURATA, "Placement of Virtual Storages for Distributed Robust Cloud Storage" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 4, pp. 885-893, April 2016, doi: 10.1587/transcom.2015EBP3292.
Abstract: Cloud storage has become popular and is being used to hold important data. As a result, availability to become important; cloud storage providers should allow users to upload or download data even if some part of the system has failed. In this paper, we discuss distributed cloud storage that is robust against failures. In distributed cloud storage, multiple replicas of each data chunk are stored in the virtual storage at geographically different locations. Thus, even if one of the virtual storage systems becomes unavailable, users can access the data chunk from another virtual storage system. In distributed cloud storage, the placement of the virtual storage system is important; if the placement of the virtual cloud storage system means that a large number of virtual storages are possible could become unavailable from a failure, a large number of replicas of each data chunk should be prepared to maintain availability. In this paper, we propose a virtual storage placement method that assures availability with a small number of replicas. We evaluated our method by comparing it with three other methods. The evaluation shows that our method can maintain availability while requiring only with 60% of the network costs required by the compared methods.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3292/_p
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@ARTICLE{e99-b_4_885,
author={Yuya TARUTANI, Yuichi OHSITA, Masayuki MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Placement of Virtual Storages for Distributed Robust Cloud Storage},
year={2016},
volume={E99-B},
number={4},
pages={885-893},
abstract={Cloud storage has become popular and is being used to hold important data. As a result, availability to become important; cloud storage providers should allow users to upload or download data even if some part of the system has failed. In this paper, we discuss distributed cloud storage that is robust against failures. In distributed cloud storage, multiple replicas of each data chunk are stored in the virtual storage at geographically different locations. Thus, even if one of the virtual storage systems becomes unavailable, users can access the data chunk from another virtual storage system. In distributed cloud storage, the placement of the virtual storage system is important; if the placement of the virtual cloud storage system means that a large number of virtual storages are possible could become unavailable from a failure, a large number of replicas of each data chunk should be prepared to maintain availability. In this paper, we propose a virtual storage placement method that assures availability with a small number of replicas. We evaluated our method by comparing it with three other methods. The evaluation shows that our method can maintain availability while requiring only with 60% of the network costs required by the compared methods.},
keywords={},
doi={10.1587/transcom.2015EBP3292},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Placement of Virtual Storages for Distributed Robust Cloud Storage
T2 - IEICE TRANSACTIONS on Communications
SP - 885
EP - 893
AU - Yuya TARUTANI
AU - Yuichi OHSITA
AU - Masayuki MURATA
PY - 2016
DO - 10.1587/transcom.2015EBP3292
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2016
AB - Cloud storage has become popular and is being used to hold important data. As a result, availability to become important; cloud storage providers should allow users to upload or download data even if some part of the system has failed. In this paper, we discuss distributed cloud storage that is robust against failures. In distributed cloud storage, multiple replicas of each data chunk are stored in the virtual storage at geographically different locations. Thus, even if one of the virtual storage systems becomes unavailable, users can access the data chunk from another virtual storage system. In distributed cloud storage, the placement of the virtual storage system is important; if the placement of the virtual cloud storage system means that a large number of virtual storages are possible could become unavailable from a failure, a large number of replicas of each data chunk should be prepared to maintain availability. In this paper, we propose a virtual storage placement method that assures availability with a small number of replicas. We evaluated our method by comparing it with three other methods. The evaluation shows that our method can maintain availability while requiring only with 60% of the network costs required by the compared methods.
ER -