Laboratory Network Data Storage Algorithm Based on Elastic Space Model
The massive amount of data in the open laboratory network system will increase the burden on the cloud processing center and reduce the performance of data cloud storage.To address the aforementioned issues,a laboratory network data storage algorithm based on an elastic space model was proposed.Due to the redundancy problem caused by large data cloud storage,the data in open laboratory network was cleaned,and then an elastic space model was con-structed.Based on this model,the fluctuation of network perception data in the nearest neighbor space was obtained,thus reducing network energy consumption.According to the data preprocessing result,a cloud storage model was con-structed to achieve the massive cloud scheduling for network data.The experimental results show that the feasibility and practicality of this method have been verified through comparing network data availability and data node balance.
Open laboratoryData cloud storageData cleaningEnergy consumption of system
NETL
NSTL
万方数据
