随着用户对延迟敏感的应用程序的需求不断增长,边缘计算环境中的高效任务调度对于及时满足用户需求变得至关重要。边缘计算环境下有向无环图(directed acyclic graph,DAG)调度的静态任务调度方法,旨在研究最小化任务完成时间并及时响应...随着用户对延迟敏感的应用程序的需求不断增长,边缘计算环境中的高效任务调度对于及时满足用户需求变得至关重要。边缘计算环境下有向无环图(directed acyclic graph,DAG)调度的静态任务调度方法,旨在研究最小化任务完成时间并及时响应用户需求。为了模拟边缘计算场景,本文采用Kubernetes(K8s)集群,通过构造基于深度优先搜索的异构最早完成时间(heterogeneous earliest finish time based on depth-first search,D-HEFT)调度算法优化了高效率任务调度。该算法使用深度优先搜索算法来优化异构最早完成时间(heterogeneous earliest finish time,HEFT)算法。实验结果表明,D-HEFT算法在任务调度效率和任务完成时间方面优于HEFT、具有复制的异构最早完成时间(heterogeneous earliest finish time with duplication,HEFT_D)、HEFT_U和处理器上的关键路径(critical path on the processor,CPOP)四种任务调度方法。展开更多
The search and development of anti-HIV drugs is currently one of the most urgent tasks of pharmacological studies. In this work, a quantitative structure-activity relationship （QSAR） model based on some new norm ind...The search and development of anti-HIV drugs is currently one of the most urgent tasks of pharmacological studies. In this work, a quantitative structure-activity relationship （QSAR） model based on some new norm indexes, was obtained to a series of more than 150 HEPT derivatives （1-[（2-hydroxyethoxy）methyl]-6-（phenylthio）thymine） to find their pEC50 （the required effective concentration to achieve 50% protection of MT-4 cells against the cytopathic effect of virus） and pCC50 （the required cytotoxic concentration to reduce visibility of 50% mock infected cell） activities. The model efficiencies were then validated using the leave-one-out cross validation （LOO-CV） and y- randomization test. Results indicated that this new model was efficient and could provide satisfactory results for prediction of pECso and pCC50 with the higher R2 train and the higher Rt2est. By using the leverage approach, the applicability domain of this model was further investigated and no response outlier was detected for HEFT derivatives involved in this work. Comparison results with reference methods demonstrated that this new method could result in significant improvements for predicting pEC50 and pCC50 of anti-HIV HEPT derivatives. Moreover, results shown in this present study suggested that these two absolutely different activities pECso and pCC50 of anti-HIV HEPT derivatives could be predicted well with a totally similar QSAR model, which indicated that this model mizht have the potential to be further utilized for other biological activities of HEFT derivatives.展开更多
文摘随着用户对延迟敏感的应用程序的需求不断增长,边缘计算环境中的高效任务调度对于及时满足用户需求变得至关重要。边缘计算环境下有向无环图(directed acyclic graph,DAG)调度的静态任务调度方法,旨在研究最小化任务完成时间并及时响应用户需求。为了模拟边缘计算场景,本文采用Kubernetes(K8s)集群,通过构造基于深度优先搜索的异构最早完成时间(heterogeneous earliest finish time based on depth-first search,D-HEFT)调度算法优化了高效率任务调度。该算法使用深度优先搜索算法来优化异构最早完成时间(heterogeneous earliest finish time,HEFT)算法。实验结果表明,D-HEFT算法在任务调度效率和任务完成时间方面优于HEFT、具有复制的异构最早完成时间(heterogeneous earliest finish time with duplication,HEFT_D)、HEFT_U和处理器上的关键路径(critical path on the processor,CPOP)四种任务调度方法。
基金Supported by the National Natural Science Foundation of China(21306137)
文摘The search and development of anti-HIV drugs is currently one of the most urgent tasks of pharmacological studies. In this work, a quantitative structure-activity relationship （QSAR） model based on some new norm indexes, was obtained to a series of more than 150 HEPT derivatives （1-[（2-hydroxyethoxy）methyl]-6-（phenylthio）thymine） to find their pEC50 （the required effective concentration to achieve 50% protection of MT-4 cells against the cytopathic effect of virus） and pCC50 （the required cytotoxic concentration to reduce visibility of 50% mock infected cell） activities. The model efficiencies were then validated using the leave-one-out cross validation （LOO-CV） and y- randomization test. Results indicated that this new model was efficient and could provide satisfactory results for prediction of pECso and pCC50 with the higher R2 train and the higher Rt2est. By using the leverage approach, the applicability domain of this model was further investigated and no response outlier was detected for HEFT derivatives involved in this work. Comparison results with reference methods demonstrated that this new method could result in significant improvements for predicting pEC50 and pCC50 of anti-HIV HEPT derivatives. Moreover, results shown in this present study suggested that these two absolutely different activities pECso and pCC50 of anti-HIV HEPT derivatives could be predicted well with a totally similar QSAR model, which indicated that this model mizht have the potential to be further utilized for other biological activities of HEFT derivatives.
