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SaaS多租户数据放置的优化调整策略研究

李晓娜,李庆忠,孔兰菊,闫中敏   

  1. 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
  • 出版日期:2014-11-25 发布日期:2014-12-17
  • 基金资助:
    国家自然科学基金资助项目(61303085,61303005);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);山东省科技发展计划基金资助项目(2012GGX10134);山东省自主创新基金资助项目(2013CXC30201)

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

  • Online:2014-11-25 Published:2014-12-17

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.

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