The simulation experiments show that it can fit the dynamic changing better in the grid environment, and implement the load balance among the grid computing resources.
模拟实验表明该模型能够较好地适应网格环境的动态变化，并实现各个网格计算资源的负载平衡。
The experimental results show that: the model has the features of rapid convergence, low bandwidth utilization and high availability. Load balance of cloud computing resources can be achieved.
实验表明：该模型具有收敛时间短、带宽占用率低及高可用性的特点，能够实现云计算资源的动态负载均衡。
Three basic load balance strategies on mapping applications onto GPU are presented: Prefetch, stream computing, task division.
针对GPU异构系统上的应用映射提出三种基本负载均衡优化策略：预取、流化、任务划分。
应用推荐