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The Task Scheduler service works by managing Tasks; Task refers to the action (or actions) taken in response to trigger(s). A task is defined by associating a set of actions, which can include launching an application or taking some custom-defined action, to a set of triggers, which can either be time-based or event-based.
Event logs can also be remotely viewed from other computers or multiple event logs can be centrally logged and monitored without an agent and managed from a single computer. Events can also be directly associated with tasks, which run in the redesigned Task Scheduler and trigger automated actions when particular events take place.
Time-triggered architecture (abbreviated as TTA), also known as a time-triggered system, is a computer system that executes one or more sets of tasks according to a predetermined and set task schedule. [1] Implementation of a TT system will typically involve use of a single interrupt that is linked to the periodic overflow of a timer.
The scheduler is an operating system module that selects the next jobs to be admitted into the system and the next process to run. Operating systems may feature up to three distinct scheduler types: a long-term scheduler (also known as an admission scheduler or high-level scheduler), a mid-term or medium-term scheduler, and a short-term scheduler.
Discrete event simulators run in virtual time, peeling events off the event queue as quickly as possible and advancing their notion of "now" to the scheduled time of the next event. Running the event simulator in "real time" instead of virtual time created a version of cron that spent most of its time sleeping, waiting for the scheduled time to ...
VisualCron is a replacement for the Windows Task Scheduler and a similar cron job scheduler in Unix-like operating systems. [1] The software is split into client and server parts, with the former being invoked by the user on demand and the latter always running as a process in the background. [1]
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After a task graph is generated, the task scheduler manages the workflow based on the given task graph by assigning tasks to workers in a manner that improves parallelism and respects the data dependencies. Dask provides two families of schedulers: single-machine scheduler and distributed scheduler.