dc.citation.conferencePlace |
FR |
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dc.citation.conferencePlace |
Paris |
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dc.citation.title |
2017 IEEE International Conference on Communications, ICC 2017 |
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dc.contributor.author |
Sohn, Jy-Yong |
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dc.contributor.author |
Choi, Beongjun |
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dc.contributor.author |
Yoon, Sung Whan |
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dc.contributor.author |
Moon, Jaekyun |
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dc.date.accessioned |
2023-12-19T19:06:32Z |
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dc.date.available |
2023-12-19T19:06:32Z |
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dc.date.created |
2020-03-26 |
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dc.date.issued |
2017-05-21 |
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dc.description.abstract |
A new system model reflecting the clustered structure of distributed storage is suggested to investigate bandwidth requirements for repairing failed storage nodes. Large data centers with multiple racks/disks or local networks of storage devices (e.g. sensor network) are good applications of the suggested cluster-based model. In realistic scenarios involving clustered storage structures, repairing storage nodes using intact nodes residing in other clusters is more bandwidth-consuming than restoring nodes based on information from intra-cluster nodes. Therefore, it is important to differentiate between intra-cluster repair bandwidth and cross-cluster repair bandwidth in modeling distributed storage. Capacity of the suggested model is obtained as a function of fundamental resources of distributed storage systems, namely, storage capacity, intra-cluster repair bandwidth and cross-cluster repair bandwidth. Based on the capacity expression, feasible sets of required resources which enable reliable storage are analyzed. It is shown that the cross-cluster traffic can be minimized to zero (i.e., local repair within a cluster becomes possible) by allowing extra resources on storage capacity and intra-cluster repair bandwidth, according to a law specified in a closed-form. Moreover, trade-off between cross-cluster traffic and intra-cluster traffic is observed for sufficiently large storage capacity. |
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dc.identifier.bibliographicCitation |
2017 IEEE International Conference on Communications, ICC 2017 |
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dc.identifier.doi |
10.1109/ICC.2017.7997392 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/32763 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/7997392 |
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dc.language |
영어 |
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dc.publisher |
Institute of Electrical and Electronics Engineers Inc. |
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dc.title |
Capacity of clustered distributed storage |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-05-21 |
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