54results about How to "Improve schedulability" patented technology

A system and methods for scheduling executions of real-time processes, including periodic processes and asynchronous processes to guarantee satisfaction of various timing constraints. The system schedules their executions in two phases: a pre-run-time (off-line) phase performed by a pre-run-time scheduler, and a run-time (on-line) phase performed by a run-time scheduler.

The present invention discloses a thermal power generating unit coordination control method based on condensate throttling which belongs to the thermal power generating unit coordination control technology field. The method comprises the steps of sending a unit load deviation to a master controller; using the master controller to send out a rotating speed change instruction, and changing the rotating speed of a condensate pump motor after an amplitude limit module; changing the unit load to form the condensate throttling control due to the condensate flow change; integrating the condensate flow variable quantity to obtain a water storage variable quantity delta Q in a deaerator, and obtaining the deaerator instant water level height hx corresponding to the delta Q by utilizing a dichotomy; forming the deviation of the hx and a deaerator water level setting height ho to sent to a slave controller, using the slave controller to generate a fuel quantity instruction signal to send to a coal mill to thereby influence the unit load and form the fuel quantity control, and recovering the deaerator water level to h0. The thermal power generating unit coordination control method based on the condensate throttling enables the changing load-acceleration of a coal-fired generating unit to be improved greatly, the schedulability of the coal-fired generating unit to be improved, and has great benefits for the new energy electric power large-scale grid connection of our country.

The invention discloses a multi-imaging satellite emergency task dynamic scheduling method. In order to solve the technical problem, the multi-imaging satellite emergency task dynamic scheduling method is invented to realize a scheduling target on the premise of satisfying the limitation. According to the technical scheme, the multi-imaging satellite emergency task dynamic scheduling method comprises the steps of: synthesizing adjacent target unit tasks located in one field range of a satellite sensor based on task classification; if the allocation of the synthesized tasks is failed, taking out the unit task with the maximum priority in the synthesized tasks through a restoration way for synthesis to therefore decompose the task into a synthesized task and an independent task with more imaging chances; meanwhile, establishing an available time slot in a new task insertion process; moving tasks in a waiting queue backwards; and obtaining a time slot satisfying with the implementation of newly inserted task when the waiting tasks are executable, thereby further improving a scheduling efficiency. By the adoption of the multi-imaging satellite emergency task dynamic scheduling method, tasks can be synthesized, the performing sequence and the performing time of the tasks are adjusted dynamically, imaging time of the satellite is reduced, and accomplishment rate and schedulability of the tasks are improved.

The invention discloses a fault-tolerant task scheduling method in a virtualized cloud, which is characterized in that the information of the arrived dependent task group and the physical host information of the virtualized cloud are obtained; the PB model is used to establish a master task for each task in the dependent task group version and minor version; specify an earliest start time and a latest completion time for each version of each task in the dependent task group; divide multiple virtual machines on each activated physical host, and obtain each The information of each virtual machine on the activated physical host; each version of each task in the dependent task group will be loaded to each activated virtual machine in the specified time period according to the distribution of tasks on each activated physical host In each virtual machine on the activated physical host; run each version of each task in the loaded dependent task group according to the specified time schedule; complete all tasks of the dependent task group and return the task result.