A cloud service integrated scheduling optimization system and method integrating edge facilities
An edge server and cloud service technology, applied in the field of communication, to achieve the effect of optimizing system efficiency, reducing bandwidth load, and improving scheduling efficiency
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Embodiment 1
[0072] like figure 1 As shown, the present invention provides a cloud service integrated scheduling optimization system integrating edge facilities, including a terminal device, an edge server connected to the terminal device, and several edge resource devices and cloud servers connected to the edge server respectively. The terminal device is used to trigger the scheduling behavior of the edge server by submitting the task data to the cloud server, and extract the initial feature vectors of the task data and the supplementary task data respectively, and fuse the extracted initial feature vectors to obtain the final feature vector; The edge server is used to classify tasks according to the final feature vector, and use the DAG scheduling diagram to perform sub-task processing on different task categories, and send the sub-tasks to edge resource devices or upload them to the cloud server; edge Resource equipment, used to perform parallel operations on different task categories; ...
Embodiment 2
[0077] like figure 2 As shown, based on the above system, the present invention also provides a comprehensive scheduling optimization method for cloud services integrating edge facilities, and the implementation method is as follows:
[0078] S1. Submit task data to the cloud server through the terminal device, triggering the scheduling behavior of the edge server;
[0079] In this embodiment, when a terminal device needs to submit a task to the cloud server for processing, the scheduling behavior of the edge server is triggered, and the terminal device enters the state of submitting the task and task data to the edge server.
[0080] S2. Use the edge server to retrieve the task data in the data history database, and determine whether the same task data exists. If so, call the corresponding historical scheduling information in advance as the supplementary task data, and go to step S3, otherwise, go directly to the step S3;
[0081] In this embodiment, after the terminal enter...
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