摘要：Aiming at the problem that some disks of energy-aware storage systems are easily overloaded, a dynamic load balancing method based on multiqueue and heat degree (MQHD) is proposed. According to data popularity, MQHD divides data into multiple least recently used (LRU) queues by data access frequency and access temporal locality and uses heat degree to measure the load pressure brought by each data unit to a disk. When a disk is overloaded, MQHD calculates the load pressure ratio (LPR) according to the disk overload degree and then selects some appropriate data to migrate according to the LPR. The experimental results show that, compared with the popular data concentration method (PDC), the workload-adaptive management method (WAM), and the energy model-based file migration strategy (EM-FMS), MQHD is the most effective. Under given experimental conditions, the request change ratio (RCR) value of MQHD is 0.371, EM-FMS is 0.2872, and WAM is 0.0114. Compared with EM-FMS, MQHD has better rapidity and less overhead.
