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Scheduling analysis real-time systems
The term scheduling analysis in real-time computing includes the analysis and testing of the scheduler system and the algorithms used in real-time applications. In computer science, real-time scheduling Analysis is the evaluation, testing and verification of the scheduling system and the algorithms used in real-time operations. For critical operations, a real-time system must be tested and verified for performance. In computer science, testing and verification is also known as model checking.
A real-time scheduling System is composed of the scheduler, clock and the processing hardware elements. In a real-time system, a process or task has schedulability; tasks are accepted by a real-time system and completed as specified by the task deadline depending on the characteristic of the scheduling algorithm (). Modeling and evaluation of a real-time scheduling system concern is on the analysis of the algorithm capability to meet a process deadline. A deadline is defined as the time required for a task to be processed.
For example, in a real-time scheduling algorithm a deadline could be set to five nano-seconds. In a critical operation the task must be processed in the time specified by the deadline (i.e. five nano-seconds). A task in a real-time system must be completed “neither too early nor too late;..” (). A system is said to be unschedulable when tasks can not met the specified deadlines (). A task can be classified as either a periodic or aperiodic process ().
== Other Uses ==
Marketing Analytics is another application for real-time technology (). For example the use of real-time analytics can be implemented by an online retailer interested in displaying ads to consumers at specific intervals. In real-time, large volumes of consumer data can be analyzed to improve the marketing strategy.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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