Improved Workload Distribution Scheme in Hybrid Cloud Setting

An efficient and secure mechanism to partition computations across public and private machines in a hybrid cloud setting was explored. Aiming at the restrictions in different levels for public cloud usage, the optimal risk-aware workload distribution problem was formalized as a mechanism for workloa...

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Main Authors: Ying Liu, Quan Gan, Yu Wang
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-01-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015024/
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author Ying Liu
Quan Gan
Yu Wang
author_facet Ying Liu
Quan Gan
Yu Wang
author_sort Ying Liu
collection DOAJ
description An efficient and secure mechanism to partition computations across public and private machines in a hybrid cloud setting was explored. Aiming at the restrictions in different levels for public cloud usage, the optimal risk-aware workload distribution problem was formalized as a mechanism for workload response time minimization. A dynamic programming approach that results in an optimal distribution of the query workload was proposed, which that searches for an optimal computation and data partitioning scheme given a query workload and public cloud usage boundaries(resource allocation cost and sensitive data disclosure). Finally, the performance of the dynamic programming approach was evaluated. Experimental results show that the proposed scheme can lead to a major performance gain by exploiting both the hybrid cloud components without violating any pre-determined public cloud usage constraints.
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institution Kabale University
issn 1000-0801
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-3f7c425ec48441fc9be01e6942845f762025-01-15T03:17:38ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-01-0131778359616383Improved Workload Distribution Scheme in Hybrid Cloud SettingYing LiuQuan GanYu WangAn efficient and secure mechanism to partition computations across public and private machines in a hybrid cloud setting was explored. Aiming at the restrictions in different levels for public cloud usage, the optimal risk-aware workload distribution problem was formalized as a mechanism for workload response time minimization. A dynamic programming approach that results in an optimal distribution of the query workload was proposed, which that searches for an optimal computation and data partitioning scheme given a query workload and public cloud usage boundaries(resource allocation cost and sensitive data disclosure). Finally, the performance of the dynamic programming approach was evaluated. Experimental results show that the proposed scheme can lead to a major performance gain by exploiting both the hybrid cloud components without violating any pre-determined public cloud usage constraints.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015024/hybrid cloudworkloadresponse timequerydynamic programming
spellingShingle Ying Liu
Quan Gan
Yu Wang
Improved Workload Distribution Scheme in Hybrid Cloud Setting
Dianxin kexue
hybrid cloud
workload
response time
query
dynamic programming
title Improved Workload Distribution Scheme in Hybrid Cloud Setting
title_full Improved Workload Distribution Scheme in Hybrid Cloud Setting
title_fullStr Improved Workload Distribution Scheme in Hybrid Cloud Setting
title_full_unstemmed Improved Workload Distribution Scheme in Hybrid Cloud Setting
title_short Improved Workload Distribution Scheme in Hybrid Cloud Setting
title_sort improved workload distribution scheme in hybrid cloud setting
topic hybrid cloud
workload
response time
query
dynamic programming
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015024/
work_keys_str_mv AT yingliu improvedworkloaddistributionschemeinhybridcloudsetting
AT quangan improvedworkloaddistributionschemeinhybridcloudsetting
AT yuwang improvedworkloaddistributionschemeinhybridcloudsetting