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.

中文翻译：

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MQHD：能量感知存储系统的动态负载平衡方法

针对能量感知存储系统部分磁盘容易过载的问题，提出一种基于多队列和热度（MQHD）的动态负载均衡方法。MQHD根据数据流行度，按照数据访问频率和访问时间局部性将数据划分为多个LRU队列，并使用热度来衡量每个数据单元给磁盘带来的负载压力。当磁盘过载时，MQHD 会根据磁盘过载程度计算负载压力比（LPR），然后根据 LPR 选择一些合适的数据进行迁移。实验结果表明，与流行的数据集中方法（PDC）、工作负载自适应管理方法（WAM）和基于能量模型的文件迁移策略（EM-FMS）相比，MQHD是最有效的。在给定的实验条件下，MQHD 的请求变化率 (RCR) 值为 0.371，EM-FMS 为 0.2872，WAM 为 0.0114。与 EM-FMS 相比，MQHD 具有更好的速度和更少的开销。