Resource scheduling system, method, and storage medium under space-based cloud calculation architecture

Abstract

The invention provides a resource scheduling system, a method and a readable storage medium under a space-based cloud calculation architecture. The scheduling system comprises a scheduler, a network topology database, a hardware information database and an affinity rule database. A scheduling object of the scheduling system is a space-based service deployed in the form of a container. The action nodes of the scheduling system comprise space-based edge clouds and heterogeneous resource nodes in a fog satellite cluster. Three deployment schemes are designed for the physical position of the scheduling system, and one of the three deployment schemes is selected. According to the invention, unified scheduling of space-based cloud heterogeneous resources and fog heterogeneous resources can be realized. The historical scheduling data can be utilized by the scheduling, and the scheduling method has adaptability to a dynamic network and can meet deployment requirements of various space-based applications.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a resource scheduling system, method and storage medium under a space-based cloud computing framework. Background technique [0002] Cloud computing is a computing and storage resource sharing model based on virtualization technology, and it is a mainstream computing architecture in today's network. It solves the problem of limited storage and computing resources of user terminal equipment by offloading complex calculations at the user end to the cloud (that is, the data center) for processing, and then sending the results from the cloud to the user. However, the rapid development of the Internet of Things and mobile applications in recent years has led to the generation of massive data. The communication of these data between the user and the cloud has brought a heavy burden on the network bandwidth on the one hand, and brought difficulties to the user on the other han...

AI Technical Summary

Problems solved by technology

However, the rapid development of the Internet of Things and mobile applications in recent years has led to the generation of massive data. The communication of these data between the user and the cloud has brought a heavy burden on the network bandwidth on the one hand, and brought difficulties to the user on the other hand. Tolerated transmission delays and degradation of service quality

In addition, cloud computing also lacks support for mobility and geographic distribution

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