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Cloud service comprehensive scheduling optimization system and method fusing edge facilities

An optimization method and edge server technology, applied in the field of communication, to achieve the effect of improving execution efficiency, improving overall resource utilization, and reducing bandwidth load

Active Publication Date: 2020-11-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a cloud service integrated scheduling optimization system and method for integrating edge facilities, which solves the problem of how to efficiently call available resources in the prior art

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  • Cloud service comprehensive scheduling optimization system and method fusing edge facilities
  • Cloud service comprehensive scheduling optimization system and method fusing edge facilities
  • Cloud service comprehensive scheduling optimization system and method fusing edge facilities

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Embodiment 1

[0072] Such as figure 1 As shown, the present invention provides a comprehensive cloud service scheduling optimization system that integrates edge facilities, including a terminal device, an edge server connected to the terminal device, and several edge resource devices and cloud servers respectively connected to the edge server ; The terminal device is used to trigger the scheduling behavior of the edge server by submitting the task data to the cloud server, 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 the tasks according to the final feature vector, and use the DAG scheduling graph to split the subtasks of different task categories, and send the subtasks to the edge resource device or upload them to the cloud server; the edge Resource equipment, used to perform parallel operations on different task catego...

Embodiment 2

[0077] Such as figure 2 As shown, based on the above-mentioned system, the present invention also provides a cloud service comprehensive scheduling optimization method for merging edge facilities, and its 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 a state of submitting the task and task data to the edge server.

[0080] S2. Use the edge server to search the task data in the data history database to determine whether there is the same task data. If so, call the corresponding historical scheduling information as supplementary task data in advance and enter step S3. Otherwise, directly enter step S2. S3;

[0081] In this embodiment, after the terminal enters...

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Abstract

The invention, which belongs to the technical field of communication, provides an cloud service comprehensive scheduling optimization system and method fusing edge facilities. The system comprises a terminal device, an edge server connected with the terminal device, and an edge resource device and a cloud server connected with the edge server. According to the invention, various features are extracted from tasks uploaded by terminal facilities through pattern recognition and are classified according to the extracted features; reinforcement learning mechanism correction classification is performed through the running state data features to implement scheduling; when the tasks run, the edge server keeps controlling and monitoring the edge resources, resource allocation and scheduling are carried out, so that system resources are fully utilized, the system efficiency is optimized, the bandwidth load of a core network is effectively reduced, the overall resource utilization rate of the system is improved, the task execution efficiency is improved, and tasks which cannot meet time delay requirements and are caused by centralization of a cloud computing system are made up through edge computing equipment and technologies.

Description

technical field [0001] The invention belongs to the technical field of communications, and in particular relates to a cloud service integrated scheduling optimization system and method for merging edge facilities. Background technique [0002] With the rapid development of technologies such as the Internet of Things, 5G communications, and wireless networks, the number of devices connected to the edge of the network is increasing rapidly, and the data generated by devices at the edge of the network is also showing an explosive growth trend. According to Cisco's forecast, the number of wireless devices connected to the network will exceed 50 billion in 2020. According to IDC (Internet Data Center) forecast, the total amount of global data in 2020 will also exceed 40ZB. In this case, the centralized processing method based on the cloud computing model will not be able to adapt to the explosive growth of edge data. [0003] Cloud computing is the basic framework for implementi...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06K9/62H04L29/08
CPCG06Q10/04G06Q10/0631H04L67/10G06F18/23213G06F18/213G06F18/24
Inventor 文军徐浩翔张汪
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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