The paper mainly studies global resource scheduling in heterogeneous multi-domain HPC environment.
文章研究异构多域高性能计算环境的高效全局资源调度问题。
To solve the problem of resource allocation in the multi-Agent-based agile production scheduling, combinatorial auction based negotiation policy was proposed.
为了解决基于多智能体的敏捷生产调度中资源分配的协商策略问题，提出了实现组合拍卖的协商策略的解决方法。
Focusing on the resource allocation problem in multi-user orthogonal frequency division multiple access (OFDMA) systems, a multi-carrier proportional fair scheduling algorithm, G-PFS, is proposed.
采用遗传算法搜索子载波最优分配方案，对多用户正交频分复用多址接入(OFDMA)系统资源分配问题进行了研究，提出了一种多载波比例公平调度算法G - PFS。
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