Resource allocation method and system under space-based cloud computing architecture and storage medium

Abstract

The invention provides a resource allocation method and system under a space-based cloud computing architecture and a storage medium. The method comprises: conducting basic resource configuration according to requirements, and generating basic resource configuration result information; performing dynamic resource configuration according to requirements, and generating dynamic resource configuration result information; and when the dynamic resource configuration meets the requirements, designing a corresponding satellite constellation orbit according to the configuration result information of the basic resources and the dynamic resources. By reasonably configuring the computing resources and the storage resources, the requirements of the 5G network can be met, global seamless coverage is achieved. The resource nodes do not interfere with one another, the resource configuration cost is reduced, and the maximization of the resource utilization rate is achieved on the premise of limited resource configuration. Meanwhile, by introducing edge calculation, the satellite has on-orbit calculation capability, propagation time delay is shortened, and the propagation time delay reaches the millisecond level, so that data can be calculated and processed in real time.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a resource allocation method, system and storage medium under the framework of space-based cloud computing. 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 othe...

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

Images