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

Xiao-na LI; Qing-zhong LI; Lan-ju KONG; Zhong-min YAN

doi:10.3969/j.issn.1000-436x.2014.z2.010

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

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- Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
- Journal on Communications Vol. 35, Issue Z2, Pages: 63-71(2014)
- 作者机构：
  
  1. 青岛大学软件技术学院，山东青岛 266071
  2. 山东大学计算机科学与技术学院，山东济南 250101
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61303085);The National Natural Science Foundation of China(61303005);The National Key Technologies R＆D Program(2012BAH54F01);The Natural Science Foundation of Shandong Province(ZR2013FQ014);Shandong Province Independent Innovation Major Special Project(2013CXC30201)
- DOI：10.3969/j.issn.1000-436x.2014.z2.010
  CLC： TP311
- Online First：2014-11，
  
  Published：30 November 2014
- 稿件说明：
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Xiao-na LI, Qing-zhong LI, Lan-ju KONG, et al. Research on the optimization adjustment strategy for the SaaS multi-tenant data placement[J]. Journal on Communications, 2014, 35(Z2): 63-71.
DOI：

Xiao-na LI, Qing-zhong LI, Lan-ju KONG, et al. Research on the optimization adjustment strategy for the SaaS multi-tenant data placement[J]. Journal on Communications, 2014, 35(Z2): 63-71. DOI： 10.3969/j.issn.1000-436x.2014.z2.010.

摘要

摘要：采用副本技术的 SaaS 多租户数据为满足租户访问及服务提供商管理的需求，在云中多节点必须合理放置。针对多租户数据特征和节点负载情况，对负载超重节点或超轻节点，通过调整数据副本数目和位置进行放置策略维护及优化，在满足所有租户 SLA 需求的同时最小化服务提供商的成本代价，实现服务质量与管理成本 2个目标的均衡。并通过实验与随机放置策略和贪婪放置策略进行比较，证明该策略的可行性和有效性。

Abstract

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.

关键词

Keywords

references

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