A qoe-aware edge computing task scheduling method
A task scheduling and task technology, applied in the transmission system, electrical components, etc., can solve problems such as equipment load imbalance, task execution efficiency impact, and inability to process data in real time, and achieve the effect of minimizing execution time
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[0018] Specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0019] The present invention implements a QoE-aware edge computing task scheduling method, which specifically includes the following steps:
[0020] Step 1: Run the system data collection tool on the router to periodically collect all device resource status information and network status information in the network. Specific information includes: Maximum CPU load for each device (Generally the same as the number of CPU cores); the current CPU load of each device The network bandwidth P between each device and the router i , the round-trip delay R between each device and the router i .
[0021] Step 2: Predict the time required for the current task to run on different devices and the CPU resources consumed by the task (increased value of CPU load caused by task execution). In our scheduling model, the execution time of a task on a device is...
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