优化的热感知作业调度与数据中心控制
Optimized Thermal-Aware Job Scheduling and Control of Data Centers
AI总结：
本文提出热感知优化方法，通过调度作业减少数据中心冷却需求，设计控制器实现最优状态，经仿真验证在不同负载条件下收敛至最优参数。
摘要：
分析数据中心的热感知优化技术是一种有效降低能耗的方法。通过考虑作业在服务器间的热影响，可以减少维持服务器在安全温度阈值以下所需的冷却量。我们建立了优化问题以分析和表征工作负载分配和冷却设备供温的最优设定值。此外，在温和假设下，我们设计并分析了控制器，使数据中心达到最优状态，而无需知晓当前总负载。控制器的响应通过仿真验证，在不同负载条件下实现了对最优设定值的收敛。
英文摘要：
Analyzing data centers with thermal-aware optimization techniques is a viable approach to reduce energy consumption of data centers. By taking into account thermal consequences of job placements among the servers of a data center, it is possible to reduce the amount of cooling necessary to keep the servers below a given safe temperature threshold. We set up an optimization problem to analyze and characterize the optimal setpoints for the workload distribution and the supply temperature of the cooling equipment. Furthermore under mild assumptions we design and analyze controllers that drive the data center to the optimal state without knowledge of the current total workload to be handled by the data center. The response of our controller is validated by simulations and convergence to the optimal setpoints is achieved under varying workload conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
