Multiple DAGs scheduling strategy is a critical factor affecting resource utilization and operating cost in the cloud computing. To solve the problem that multiple DAG scheduling cannot meet the resource utilization a...Multiple DAGs scheduling strategy is a critical factor affecting resource utilization and operating cost in the cloud computing. To solve the problem that multiple DAG scheduling cannot meet the resource utilization and reliability when multiple DAGs arrive at different time, the multiple DAGs scheduling problem can be transformed into a single DAG scheduling problem with limited resource available time period through multiple DAGs scheduling model based on backfill. On the basis of discussing the available time period description of resources and the sorting of task scheduling when the available time period is limited, the multiple DAGs scheduling strategy is proposed based on backfill. The experimental analysis shows that this strategy can effectively shorten the makespan and improve the resources utilization when multiple DAGs arrive at different time.展开更多
The currently used hydrological forecast system in China is mainly focused on flood,and the flood forecasting frameworks are typically based on point discharge measurements and predictions at discrete locations,hence ...The currently used hydrological forecast system in China is mainly focused on flood,and the flood forecasting frameworks are typically based on point discharge measurements and predictions at discrete locations,hence they can’t provide spatio-temporal information of various hydrological elements,such as surface runoff,soil moisture,ground water table,and flood inundation extents over large scales and at high spatial resolutions.The use of distributed hydrological model has recently appeared to be the most suitable option to bridge this gap.An open source GIS-based distributed hydrological forecast system was established recently,and the watershed delineation and hydrological modelling were integrated together seamlessly.The time and human consuming work of processing the spatial data in building distributed hydrological model could be reduced significantly,and the spatial distribution of hydrological information could be quickly simulated and predicted using this system.The system was applied successfully to forecast the flood caused by super strong typhoon"Mangkhut"which attacked the south China in2018.展开更多
River discharge is a significant hydrological variable, as it represents the basin-scale integrated output of the hydrological cycle. At present, river discharge observations are usually measured at ground-based gauge...River discharge is a significant hydrological variable, as it represents the basin-scale integrated output of the hydrological cycle. At present, river discharge observations are usually measured at ground-based gauges across rivers worldwide. In some areas, however, measurements used in the practice of flood prediction and disaster prevention are either fully inaccessible or difficult to obtain in a timely and functional fashion (1)It has also been reported that the scarcity of global river discharge observations may have undermined the efforts to calculate a globally meaningful estimate of the adjusted biodiversity threat (2)The Tibetan Plateau(TP), also known as the ‘‘Asian Water Tower'.展开更多
文摘Multiple DAGs scheduling strategy is a critical factor affecting resource utilization and operating cost in the cloud computing. To solve the problem that multiple DAG scheduling cannot meet the resource utilization and reliability when multiple DAGs arrive at different time, the multiple DAGs scheduling problem can be transformed into a single DAG scheduling problem with limited resource available time period through multiple DAGs scheduling model based on backfill. On the basis of discussing the available time period description of resources and the sorting of task scheduling when the available time period is limited, the multiple DAGs scheduling strategy is proposed based on backfill. The experimental analysis shows that this strategy can effectively shorten the makespan and improve the resources utilization when multiple DAGs arrive at different time.
基金supported by the National Key Research and Development Program of China(Grant No.2018YFC1508100)
文摘The currently used hydrological forecast system in China is mainly focused on flood,and the flood forecasting frameworks are typically based on point discharge measurements and predictions at discrete locations,hence they can’t provide spatio-temporal information of various hydrological elements,such as surface runoff,soil moisture,ground water table,and flood inundation extents over large scales and at high spatial resolutions.The use of distributed hydrological model has recently appeared to be the most suitable option to bridge this gap.An open source GIS-based distributed hydrological forecast system was established recently,and the watershed delineation and hydrological modelling were integrated together seamlessly.The time and human consuming work of processing the spatial data in building distributed hydrological model could be reduced significantly,and the spatial distribution of hydrological information could be quickly simulated and predicted using this system.The system was applied successfully to forecast the flood caused by super strong typhoon"Mangkhut"which attacked the south China in2018.
基金financially supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDA20060202)the National Natural Science Foundation of China (91747201 and 41571033)
文摘River discharge is a significant hydrological variable, as it represents the basin-scale integrated output of the hydrological cycle. At present, river discharge observations are usually measured at ground-based gauges across rivers worldwide. In some areas, however, measurements used in the practice of flood prediction and disaster prevention are either fully inaccessible or difficult to obtain in a timely and functional fashion (1)It has also been reported that the scarcity of global river discharge observations may have undermined the efforts to calculate a globally meaningful estimate of the adjusted biodiversity threat (2)The Tibetan Plateau(TP), also known as the ‘‘Asian Water Tower'.
