这样做不但会产生用于发送指令的额外通信开销，更会在节点数量上升时由于协同算法计算量上升，从而导致整个系统的效率下降。

This will bring the extra communication cost for instruction delivery, as well as the efficiency decrease because of the increase of computation cost brought by increased nodes 'numbers.

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此外，讨论并通过实验证实了准瓶颈节点定义及算法的缺陷，并计算了一些网络特征量。

In addition, we argue and validate the limitation of the quasi-bottleneck nodes, calculate some mathematical character values of ne.

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考虑到各个计算节点处理能力的不同，算法使用动态分配数据的方式来平衡各个节点的负载。

Considering the difference of each node's capability, this algorithm balances the load of all computing nodes by distributing data to each node dynamically.

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