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    • 82. 发明授权
    • Nano smart glass system
    • US10288970B2
    • 2019-05-14
    • US13824312
    • 2012-05-25
    • Qi Wang
    • Qi Wang
    • E06B9/24G02F1/153G02F1/163
    • The present invention provides a nano smart glass system, including nano smart glass, DC power supply, sensor, and control unit. Wherein, the nano smart glass includes glass and the electrochromic thin-film device; The anode of the DC power supply connects to the at least one conductive anode layer of the electrochromic thin-film device; the cathode of the DC power supply connects to the at least one conductive cathode layer of the electrochromic thin-film device; the DC power supply is used to provide 1V-50V DC voltage to the electrochromic thin-film device; the electrochromic thin-film device adheres to the inside surface of the glass through the at least one conductive cathode layer or the at least one conductive anode layer; The sensor measures outdoor or indoor conditions and send the real-time measurement data to the control unit. The control unit connects to the DC power supply, and it can control the output voltage of the DC power supply to the electrochromic thin-film device. The present invention can real-time and intelligently adjust the color of the glass, which can help saving energy and reducing green house gas emission.
    • 87. 发明授权
    • Dynamic pending job queue length for job distribution within a grid environment
    • 在网格环境中作业分发的动态挂起作业队列长度
    • US09141432B2
    • 2015-09-22
    • US13528599
    • 2012-06-20
    • Chong ChenZhaohui DingQi WangShutao Yuan
    • Chong ChenZhaohui DingQi WangShutao Yuan
    • G06F9/46G06F15/173G06F9/50
    • G06F9/5044G06F9/505G06F9/5083
    • According to one aspect of the present disclosure, a method and technique for job distribution within a grid environment is disclosed. The method includes: receiving jobs at a submission cluster for distribution of the jobs to at least one of a plurality of execution clusters, each execution cluster comprising one or more execution hosts; determining resource capacity corresponding to each execution cluster; determining resource requirements for the jobs; dynamically determining a pending job queue length for each execution cluster based on the resource capacity of the respective execution clusters and the resource requirements of the jobs; and forwarding jobs to the respective execution clusters according the determined pending job queue length for the respective execution cluster.
    • 根据本公开的一个方面,公开了一种用于网格环境内的作业分配的方法和技术。 该方法包括:在提交集群处接收作业以将作业分发到多个执行群集中的至少一个,每个执行群集包括一个或多个执行主机; 确定与每个执行集群相对应的资源容量; 确定工作的资源需求; 基于相应执行集群的资源容量和作业的资源需求来动态地确定每个执行集群的挂起作业队列长度; 以及根据所确定的用于相应执行集群的挂起作业队列长度将作业转发到相应的执行集群。