A Low Power Consumption and High Reliability Distributed Cold Storage System
Shuaibo Gao, Qing Wen Yan, Yue Zhang, Jie Yang · 2020
In the era of the intelligent Internet, data is exploding and growing in geometric quantities. The storage of these data has become a hot issue in the current storage field. According to statistics, only a small part of these massive data is frequently accessed, and most of them will gradually become cold after being generated. The traditional data storage method solves the problem of large-scale data storage, but there are still problems of high energy consumption and high cost in cold data storage scenarios. This paper optimizes the storage scenario of the cold data, and then uses the server to control the power switch of hard disk to hibernate the hard disk where the data accessed at a low frequency, thereby reducing the overall power consumption. At the same time, in order to ensure the reliability of the data, we add scanning module and file reconstruction module, design and implement a low-power and highly reliable distributed cold storage system.