虚拟计算环境下虚拟机资源负载均衡方法

针对虚拟机资源粒度大和迁移时传输数据量大的特点，提出一种基于虚拟机迁移的负载均衡方法。该方法利用负载阈值对宿主机后续时间节点的负载趋势进行预测，避免瞬时负载峰值触发的虚拟机迁移问题。在触发迁移后采用加权概率转发方式选择迁移目标节点，解决传统负载均衡技术中的群聚冲突问题。实验结果表明，在宿主机负载分布严重不平衡的情况下，该方法能有效改善系统性能。

Load Balancing Method for Virtual Machine Resources in Virtual Computing Environment

Aiming at the large granularity of Virtual Machine(VM) resources and the great amount of data transferred in the process of migrating, this paper presents a load balancing method based on VM migration. It uses the threshold to predict load tendency of host machine, which ensures that a small transient spike does not trigger needless VM migration. After triggering migration, it uses probability-weighted approach to select the target node, which resolves the problem of accumulation conflicts. Experimental results show that the method can improve the system performance in the case of great imbalance of the host machine load distribution.