The forum on the strategy for implementing the vitalization of the northeastold industry base was held on June 13^(th), 2005 in Shengyang by the General Adminitration ofQuality supervision, Inspection and Quarantine o...The forum on the strategy for implementing the vitalization of the northeastold industry base was held on June 13^(th), 2005 in Shengyang by the General Adminitration ofQuality supervision, Inspection and Quarantine of P.R. China (AQSIQ). The leaders in charge of theState Council Office of Northeast Vitalization and the Provincial Office of Vitalization ofLiaoning, Jilin and Heilongjiang were invited to attend the forum. At the forum, Director of AQSIQLi Changjiang made active response to the issues surrounding 'how the central government policy ofvitalizing Northeast can be fulfilled' and 'how the departments of quality inspection can fulfilltheir duty and play an active role'.展开更多
用 MOCVD方法生长了 In Ga As/ In Ga As P多量子阱微碟激光器外延片 ,用光刻、干法刻蚀和湿法刻蚀等现代化的微加工技术制备出直径 9.5μm的 In Ga As/ In Ga As P微碟激光器 ,并详细介绍了整个制备工艺过程 .在液氮温度下用氩离子激...用 MOCVD方法生长了 In Ga As/ In Ga As P多量子阱微碟激光器外延片 ,用光刻、干法刻蚀和湿法刻蚀等现代化的微加工技术制备出直径 9.5μm的 In Ga As/ In Ga As P微碟激光器 ,并详细介绍了整个制备工艺过程 .在液氮温度下用氩离子激光器泵浦方式实现了低阈值光泵激射 ,测出单个微碟激光器的阈值光功率为 15 0μW,激射波长约为 1.6μm,品质因数 Q=80 0 ,激射光谱线宽为 2 nm,同时指出微碟激光器激射线宽比 F-展开更多
Task scheduling in cloud computing environments is a multi-objective optimization problem, which is NP hard. It is also a challenging problem to find an appropriate trade-off among resource utilization, energy consump...Task scheduling in cloud computing environments is a multi-objective optimization problem, which is NP hard. It is also a challenging problem to find an appropriate trade-off among resource utilization, energy consumption and Quality of Service(QoS) requirements under the changing environment and diverse tasks. Considering both processing time and transmission time, a PSO-based Adaptive Multi-objective Task Scheduling(AMTS) Strategy is proposed in this paper. First, the task scheduling problem is formulated. Then, a task scheduling policy is advanced to get the optimal resource utilization, task completion time, average cost and average energy consumption. In order to maintain the particle diversity, the adaptive acceleration coefficient is adopted. Experimental results show that the improved PSO algorithm can obtain quasi-optimal solutions for the cloud task scheduling problem.展开更多
文摘The forum on the strategy for implementing the vitalization of the northeastold industry base was held on June 13^(th), 2005 in Shengyang by the General Adminitration ofQuality supervision, Inspection and Quarantine of P.R. China (AQSIQ). The leaders in charge of theState Council Office of Northeast Vitalization and the Provincial Office of Vitalization ofLiaoning, Jilin and Heilongjiang were invited to attend the forum. At the forum, Director of AQSIQLi Changjiang made active response to the issues surrounding 'how the central government policy ofvitalizing Northeast can be fulfilled' and 'how the departments of quality inspection can fulfilltheir duty and play an active role'.
文摘用 MOCVD方法生长了 In Ga As/ In Ga As P多量子阱微碟激光器外延片 ,用光刻、干法刻蚀和湿法刻蚀等现代化的微加工技术制备出直径 9.5μm的 In Ga As/ In Ga As P微碟激光器 ,并详细介绍了整个制备工艺过程 .在液氮温度下用氩离子激光器泵浦方式实现了低阈值光泵激射 ,测出单个微碟激光器的阈值光功率为 15 0μW,激射波长约为 1.6μm,品质因数 Q=80 0 ,激射光谱线宽为 2 nm,同时指出微碟激光器激射线宽比 F-
基金partially been sponsored by the National Science Foundation of China(No.61572355,61272093,610172063)Tianjin Research Program of Application Foundation and Advanced Technology under grant No.15JCYBJC15700
文摘Task scheduling in cloud computing environments is a multi-objective optimization problem, which is NP hard. It is also a challenging problem to find an appropriate trade-off among resource utilization, energy consumption and Quality of Service(QoS) requirements under the changing environment and diverse tasks. Considering both processing time and transmission time, a PSO-based Adaptive Multi-objective Task Scheduling(AMTS) Strategy is proposed in this paper. First, the task scheduling problem is formulated. Then, a task scheduling policy is advanced to get the optimal resource utilization, task completion time, average cost and average energy consumption. In order to maintain the particle diversity, the adaptive acceleration coefficient is adopted. Experimental results show that the improved PSO algorithm can obtain quasi-optimal solutions for the cloud task scheduling problem.
