Research on Optimization Adjustment Strategy for SaaS Multi-tenant Data Placement

Li Xiaona, Li Qingzhong, Zhu Weiyi, Li Hui
2015 International Journal of Grid and Distributed Computing  
In order to meet the requirements for data access by tenants and management by service providers, the multi-tenant data stored in cloud using replica technology must be reasonably placed. For the outweight nodes and the ultra light nodes, according to characteristics of the multi-tenant data and the load of nodes, through adjusting the number and position of the replicas to maintenance and optimization the strategy so that meet the SLA requirements meanwhile minimize the overall cost.
more » ... al results through comparison with random placement strategy and greedy placement policy demonstrate the feasibility and effectiveness of the proposed strategy.
doi:10.14257/ijgdc.2015.8.2.27 fatcat:5tseqlimgjbdlfeqakzgqpz5aa