Task scheduling method and device based on resource estimation in big data system
A task scheduling and data source technology, applied in the field of task scheduling based on resource estimation, can solve problems such as decreased efficiency, difficult implementation, complex task dependencies, etc., to achieve the effect of simple implementation and high reliability
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[0031] The storage strategy of the big data system is to distribute as randomly and evenly as possible on each node of the cluster. Usually, task planning and scheduling are mainly based on two aspects: the time cost and storage cost required to run the task; In this case, the time cost and storage cost mainly depend on the amount of data processed by the task, the calculation logic and algorithm time complexity, and for a given task, the processing logic and algorithm complexity are determined, therefore, the time cost of the task is related to The storage cost is directly proportional to the amount of data processed by the task.
[0032] In the embodiment of the present invention, resource estimation is performed on the received tasks, and the tasks are added to the task list; current system idle resources are estimated, and the total amount of resources required by the tasks in the task list and the current system The size relationship of idle resources schedules the tasks ...
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