数据集中处理的云计算模式提供交互迅速、绿色高效的多样化应用服务面临新挑战.将云计算能力扩展到边缘设备,提出了边云协同计算框架;设计了基于任务预测的资源部署算法,在云服务中心通过二维时间序列对任务进行预测,结合分类聚合、延...数据集中处理的云计算模式提供交互迅速、绿色高效的多样化应用服务面临新挑战.将云计算能力扩展到边缘设备,提出了边云协同计算框架;设计了基于任务预测的资源部署算法,在云服务中心通过二维时间序列对任务进行预测,结合分类聚合、延迟阈值判定等优化边缘服务器任务运行所需资源部署;提出了基于帕累托优化的任务调度算法,在边缘服务器分2个阶段进行帕累托渐进比较得到用户服务质量和系统服务效应2个目标曲线的相切点或任一相交点以优化任务调度.实验结果表明:结合基于任务预测的资源部署算法与基于帕累托优化的任务调度算法在提高平均用户任务命中率基础上,其用户平均服务完成时间、系统整体服务效应度、总任务延迟率在不同用户任务规模、不同Zipf分布参数α的应用场景下,均优于基于帕累托优化的任务调度算法和基于FIFO(first input first output)的基准任务调度算法.展开更多
The self-calibrating Palmer Drought Severity Index (PDSI) is calculated using newly updated ground observations of monthly surface air temperature (SAT) and precipitation in China. The co-variabilities of PDSI and SAT...The self-calibrating Palmer Drought Severity Index (PDSI) is calculated using newly updated ground observations of monthly surface air temperature (SAT) and precipitation in China. The co-variabilities of PDSI and SAT are examined for summer for the period 1961-2004. The results show that there exist decadal climate co-variabilities and strong nonlinear interactions between SAT and soil moisture in many regions of China. Some of the co-variabilities can be linked to global warming. In summer,sig-nificant decadal co-variabilities from cool-wet to warm-dry conditions are found in the east region of Northwest China,North China,and Northeast China. An important finding is that in the west region of Northwest China and Southeast China,pronounced decadal co-variabilities take place from warm-dry to cool-wet conditions. Because significant warming was observed over most areas of the global land surface during the past 20-30 years,the shift to cool-wet conditions is a unique phenomenon which may deserve much scientific attention. The nonlinear interactions between SAT and soil moisture may partly account for the observed decadal co-variabilities. It is shown that anomalies of SAT will greatly affect the climatic co-variabilities,and changes of SAT may bring notable influence on the PDSI in China. These results provide observational evidence for increasing risks of decadal drought and wet-ness as anthropogenic global warming progresses.展开更多
文摘数据集中处理的云计算模式提供交互迅速、绿色高效的多样化应用服务面临新挑战.将云计算能力扩展到边缘设备,提出了边云协同计算框架;设计了基于任务预测的资源部署算法,在云服务中心通过二维时间序列对任务进行预测,结合分类聚合、延迟阈值判定等优化边缘服务器任务运行所需资源部署;提出了基于帕累托优化的任务调度算法,在边缘服务器分2个阶段进行帕累托渐进比较得到用户服务质量和系统服务效应2个目标曲线的相切点或任一相交点以优化任务调度.实验结果表明:结合基于任务预测的资源部署算法与基于帕累托优化的任务调度算法在提高平均用户任务命中率基础上,其用户平均服务完成时间、系统整体服务效应度、总任务延迟率在不同用户任务规模、不同Zipf分布参数α的应用场景下,均优于基于帕累托优化的任务调度算法和基于FIFO(first input first output)的基准任务调度算法.
基金Supported by the National Natural Science Foundation of China (Grant Nos. 40631005 and 40620130113)International Partnership Project of the Chinese Academy of Sciences
文摘The self-calibrating Palmer Drought Severity Index (PDSI) is calculated using newly updated ground observations of monthly surface air temperature (SAT) and precipitation in China. The co-variabilities of PDSI and SAT are examined for summer for the period 1961-2004. The results show that there exist decadal climate co-variabilities and strong nonlinear interactions between SAT and soil moisture in many regions of China. Some of the co-variabilities can be linked to global warming. In summer,sig-nificant decadal co-variabilities from cool-wet to warm-dry conditions are found in the east region of Northwest China,North China,and Northeast China. An important finding is that in the west region of Northwest China and Southeast China,pronounced decadal co-variabilities take place from warm-dry to cool-wet conditions. Because significant warming was observed over most areas of the global land surface during the past 20-30 years,the shift to cool-wet conditions is a unique phenomenon which may deserve much scientific attention. The nonlinear interactions between SAT and soil moisture may partly account for the observed decadal co-variabilities. It is shown that anomalies of SAT will greatly affect the climatic co-variabilities,and changes of SAT may bring notable influence on the PDSI in China. These results provide observational evidence for increasing risks of decadal drought and wet-ness as anthropogenic global warming progresses.