SaaS多租户数据放置的优化调整策略研究

李晓娜; 李庆志; 孔兰菊; 闫中敏

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

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SaaS多租户数据放置的优化调整策略研究

学术论文 | 更新时间：2024-06-05

- SaaS多租户数据放置的优化调整策略研究
- Research on the optimization adjustment strategy for the SaaS multi-tenant data placement
- 通信学报 2014年35卷第Z2期页码：63-71
- 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：
  
  [ "李晓娜（1980-），女，山东淄博人，青岛大学讲师，山东大学博士生，主要研究方向为云计算、多租户数据管理。" ]
  [ "李庆忠（1965-），男，河北威县人，山东大学教授、博士生导师，主要研究方向为大规模网络数据管理和 Web数据集成。" ]
  [ "孔兰菊（1978-），女，山东菏泽人，山东大学讲师，主要研究方向为数据库、数据管理。" ]
  [ "闫中敏（1977-），女，山东济南人，山东大学副教授，主要研究方向Web数据集成、数据库。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61303085);国家自然科学基金资助项目(61303005);国家科技支撑计划基金资助项目(2012BAH54F01);山东省自然科学基金资助项目(ZR2013FQ014);山东省自主创新基金资助项目(2013CXC30201)
- DOI：10.3969/j.issn.1000-436x.2014.z2.010
  中图分类号： TP311
- 网络出版日期：2014-11，
  
  纸质出版日期：2014-11-30
- 稿件说明：
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李晓娜, 李庆志, 孔兰菊, 等. SaaS多租户数据放置的优化调整策略研究[J]. 通信学报, 2014,35(Z2):63-71.

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.
李晓娜, 李庆志, 孔兰菊, 等. SaaS多租户数据放置的优化调整策略研究[J]. 通信学报, 2014,35(Z2):63-71. DOI： 10.3969/j.issn.1000-436x.2014.z2.010.

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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李晓娜 , 李庆忠 , 孔兰菊 . 基于共享模式的 SaaS 多租户数据划分机制研究 [J ] . 通信学报 , 2012 , 33 ( Z1 ): 110 - 120 .

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