Research on optimization of data storage model for general review system based on SaaS

Research on optimization of data storage model for general review system based on SaaS

Feng Han Cochi

The data storage problem that needs to be solved is to build a general review system based on SaaS mode. Based on the traditional data storage model, the storage utilization rate and the low performance of data access, combined with the idea of heat index, data segmentation theory and metadata-driven, this paper This paper proposes a storage solution based on thermal metadata driven key value pair for customizable SaaS system, and then optimizes the modified customizable data storage model by introducing the caching mechanism. Finally, the new model and optimization algorithm are studied experimentally, and the experimental results show that the optimization scheme is effective and the data access performance is improved.

Research on optimization of data storage model for general review system based on SaaS