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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2014-11-01
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Series: | Tongxin xuebao |
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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 |
id | doaj-art-e418d7abb2864ed48a2a8e923e922e3d |
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 |