Resource Brokerage for Federated Cloud Storage System
碩士 === 國立清華大學 === 資訊工程學系 === 101 === As the evolution of distributed computing systems, the need of high performance and large-scale computing is getting increase. Cloud applications or users may demand a storage system with security, availability, performance, and reliability. A variety of public...
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ndltd-TW-101NTHU53921142015-10-13T22:29:58Z http://ndltd.ncl.edu.tw/handle/49057630766612178807 Resource Brokerage for Federated Cloud Storage System 基於聯邦雲端儲存系統的資源仲介機制 Huang, Chih-Chieh 黃志傑 碩士 國立清華大學 資訊工程學系 101 As the evolution of distributed computing systems, the need of high performance and large-scale computing is getting increase. Cloud applications or users may demand a storage system with security, availability, performance, and reliability. A variety of public cloud storage providers and private storage systems tried to meet the requirements by applying different approaches. However, no one of cloud storage providers is able to fulfil every requirement of expectations at the same time because of the CAP theorem. In addition, cloud storage providers usually offer different APIs for the access so as to lead users face an issue about vender lock-in. Leveraging heterogeneous storage resources in federated cloud storages is a prospective manner to solve these issues. In this paper, we focus on proposing a federated cloud storage system with a uniform interface. Based on a prioritized brokerage model, a resource brokerage is further presented to benefit the matchmaking with the considerations of user requirements, file classifications, and storage characteristics. We evaluate the system performance with real traces and workloads on 31 nodes. Experimental results show that our approach improve 35%~125% performance gains. Chou, Chi-Yuan Lee, Che-Rung 周志遠 李哲榮 2013 學位論文 ; thesis 39 en_US |
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碩士 === 國立清華大學 === 資訊工程學系 === 101 === As the evolution of distributed computing systems, the need of high performance and large-scale computing is getting increase. Cloud applications or users may demand a storage system with security, availability, performance, and reliability. A variety of public cloud storage providers and private storage systems tried to meet the requirements by applying different approaches. However, no one of cloud storage providers is able to fulfil every requirement of expectations at the same time because of the CAP theorem. In addition, cloud storage providers usually offer different APIs for the access so as to lead users face an issue about vender lock-in. Leveraging heterogeneous storage resources in federated cloud storages is a prospective manner to solve these issues. In this paper, we focus on proposing a federated cloud storage system with a uniform interface. Based on a prioritized brokerage model, a resource brokerage is further presented to benefit the matchmaking with the considerations of user requirements, file classifications, and storage characteristics. We evaluate the system performance with real traces and workloads on 31 nodes. Experimental results show that our approach improve 35%~125% performance gains.
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author2 |
Chou, Chi-Yuan |
author_facet |
Chou, Chi-Yuan Huang, Chih-Chieh 黃志傑 |
author |
Huang, Chih-Chieh 黃志傑 |
spellingShingle |
Huang, Chih-Chieh 黃志傑 Resource Brokerage for Federated Cloud Storage System |
author_sort |
Huang, Chih-Chieh |
title |
Resource Brokerage for Federated Cloud Storage System |
title_short |
Resource Brokerage for Federated Cloud Storage System |
title_full |
Resource Brokerage for Federated Cloud Storage System |
title_fullStr |
Resource Brokerage for Federated Cloud Storage System |
title_full_unstemmed |
Resource Brokerage for Federated Cloud Storage System |
title_sort |
resource brokerage for federated cloud storage system |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/49057630766612178807 |
work_keys_str_mv |
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