The task scheduling strategy with the fusion of LIFO and HRF in grid system

With the installation and coverage rate of electricity information acquisition devices closing to 100%, the value of electricity information continuously highlight. Due to the sharply increase of electricity information data, the bottleneck of IO efficiency influences the further improvement of data processing efficiency. As “Read” plays a great role in IO, we focus on the promotion of the performance of “read”. As a result, we put forward a method with the fusion of LIFO and HRF (Highest Rank First), it not only takes into account the advantage of LIFO’s high hit rate of cache, but also solves the lower CPU utilization problem. The “read” performance has improved by 20% with the test on the data platform using our strategy, significantly improved the efficiency of IO.