基于雾计算的电力信息高效存储与共享算法

Efficient storing and sharing algorithm of power information based on fog computing

针对电力信息数据量较大且存储速度较慢的问题,提出了一种基于雾计算的电力信息存储与共享方法。该方法包含了基于差分同步的数据存储方式与基于雾计算的组合数据共享机制。数据存储方法将一部分数据的计算和存储工作转移到雾服务器中,以减少云计算平台的工作负载,从而实现更高效的数据存储;组合数据共享机制通过在雾端建立虚拟化数据共享机制来防止电力信息数据的丢失、损坏及恶意修改。仿真实验与结果表明,该方法能显著减少云服务器的响应次数,进而减轻云计算的负担,具有更高的数据恢复率,相比于传统方法,所提方法可实现高效、安全的电力信息存储及共享。

Aiming at the problem of large amount of power information data and slow storage speed,a storing and sharing method of power information based on fog computing was proposed.The as-proposed method consisted of a data storing method based on differential synchronization and a combined data sharing mechanism based on fog computing.Among them,the data storing method transferred part of the data computing and storing work to the fog server,thereby reducing the workload of cloud computing platform and achieving more efficient data storage.The combined data sharing mechanism prevented the loss,damage and malicious modification of power information data by establishing a virtualized data sharing mechanism on the fog end.Simulation experiments and results show that the as-proposed method can significantly reduce the response number of cloud servers,thus reduce the burden of cloud computing for a higher data recovery rate.Compared with traditional methods,the as-proposed method can achieve efficient and safe power information storing and sharing.