The dependency locality theory hypothesizes that there are two components to computational resource use: storage and integration.
从属位置理论假设计算资源的使用由两部分组成：存储和整合。
Cluster system shares resource across network. It not only USES existing computational resource well, but also can reach high performance with lower cost of software and hardware.
集群计算通过网络互联进行资源共享，不但能够充分利用现有的计算资源，而且能够通过较低的软、硬件代价获得较高的计算性能。
A feedback scheduling based on model predictive control (FS-MPC) was presented to improve the control performance of real-time control system subject to limited computational resource.
提出一种基于模型预测控制(MPC)的反馈调度算法(FS - MPC)，可以在有限计算资源的情况下改进实时控制系统的性能。
In order to use the robust feature in low computational resource device, on the basis of two-stage Wiener filtering algorithm in ETSI Standard, we propose a novel approach to improve the efficiency.
为了能够在低运算资源的设备上实现鲁棒性前端，在ETSI标准的核心两级维纳滤波算法的基础上，我们提出了一种新方法以提高算法效率。
In order to use the robust feature in low computational resource device, on the basis of two-stage Wiener filtering algorithm in ETSI Standard, we propose a novel approach to improve the efficiency.
为了能够在低运算资源的设备上实现鲁棒性前端，在ETSI标准的核心两级维纳滤波算法的基础上，我们提出了一种新方法以提高算法效率。
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