Research on the optimization adjustment strategy for the SaaS multi-tenant data placement

The multi-tenant data stored in cloud using replica technology must be reasonably placed,meet the requirements for data access by tenants and management by service providers.According to the characteristics of multi-tenant data and the load of the nodes,for the outweight nodes and the ultralight nod...

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Main Authors: Xiao-na LI, Qing-zhong LI, Lan-ju KONG, Zhong-min YAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.010/
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author Xiao-na LI
Qing-zhong LI
Lan-ju KONG
Zhong-min YAN
author_facet Xiao-na LI
Qing-zhong LI
Lan-ju KONG
Zhong-min YAN
author_sort Xiao-na LI
collection DOAJ
description The multi-tenant data stored in cloud using replica technology must be reasonably placed,meet the requirements for data access by tenants and management by service providers.According to the characteristics of multi-tenant data and the load of the nodes,for the outweight nodes and the ultralight nodes,through adjusting the number and position of the replicas to maintenance and optimization the placement strategy so that meet the SLA requirements at the same time minimize the overall cost,realize the balance between the quality of service and the cost of management.Experimental results through comparison with random placement strategy and greedy placement policy demonstrate the feasibility and effectiveness of the proposed strategy.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2014-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-e418d7abb2864ed48a2a8e923e922e3d2025-01-14T06:45:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-11-0135637159688927Research on the optimization adjustment strategy for the SaaS multi-tenant data placementXiao-na LIQing-zhong LILan-ju KONGZhong-min YANThe multi-tenant data stored in cloud using replica technology must be reasonably placed,meet the requirements for data access by tenants and management by service providers.According to the characteristics of multi-tenant data and the load of the nodes,for the outweight nodes and the ultralight nodes,through adjusting the number and position of the replicas to maintenance and optimization the placement strategy so that meet the SLA requirements at the same time minimize the overall cost,realize the balance between the quality of service and the cost of management.Experimental results through comparison with random placement strategy and greedy placement policy demonstrate the feasibility and effectiveness of the proposed strategy.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.010/SaaSmulti-tenant databaseSLAoptimization adjustmentreplica placement
spellingShingle Xiao-na LI
Qing-zhong LI
Lan-ju KONG
Zhong-min YAN
Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
Tongxin xuebao
SaaS
multi-tenant database
SLA
optimization adjustment
replica placement
title Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
title_full Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
title_fullStr Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
title_full_unstemmed Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
title_short Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
title_sort research on the optimization adjustment strategy for the saas multi tenant data placement
topic SaaS
multi-tenant database
SLA
optimization adjustment
replica placement
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z2.010/
work_keys_str_mv AT xiaonali researchontheoptimizationadjustmentstrategyforthesaasmultitenantdataplacement
AT qingzhongli researchontheoptimizationadjustmentstrategyforthesaasmultitenantdataplacement
AT lanjukong researchontheoptimizationadjustmentstrategyforthesaasmultitenantdataplacement
AT zhongminyan researchontheoptimizationadjustmentstrategyforthesaasmultitenantdataplacement