Management scheduling technology based on hyper-converged framework

Abstract

The invention discloses a management scheduling technology based on a hyper-converged framework. The method comprises a hyper-converged system architecture design, resource integrated management basedon a hyper-converged architecture, unified computing virtualization oriented to a domestic heterogeneous platform, storage virtualization based on distributed storage, network virtualization based onsoftware definition and a container dynamic scheduling management technology oriented to a high-mobility environment. According to the management scheduling technology based on the hyper-converged framework provided by the invention, the virtualization capability and the management capability of the tactical cloud platform are improved; a key technical support is provided for constructing army maneuvering tactical cloud full-link ecology; an on-demand flexible virtualized computing storage resource pool is provided, heterogeneous fusion computing virtualization is achieved, meanwhile, a distributed storage technology is used for constructing a storage resource pool, a software definition technology is used for constructing a virtual network, a super-fusion resource pool is formed, localization data and network access of application services are achieved, the I/O bottleneck problem of a traditional virtualization deployment mode is solved, and the service response performance is improved.

Description

technical field [0001] The present invention relates to the field of cloud computing, in particular to a management scheduling technology based on a hyper-converged architecture. Background technique [0002] With the transformation of the army, the combat mobility is getting higher and higher, and the hardware resources of tactical frontier equipment such as information service vehicles and command vehicles are limited. It is necessary to efficiently manage the computing, storage, network and other resources of the vehicle platform. Relying on traditional virtualization technology for resource management is difficult to meet the requirements: first, server virtualization technologies such as KVM and XEN have a high degree of isolation, but virtual machines are relatively "cumbersome" and difficult to adapt to the dynamic battlefield environment; second, traditional virtualization Under the framework, computing and storage are separated, resulting in performance bottlenecks ...

AI Technical Summary

Problems solved by technology

Relying on traditional virtualization technology for resource management is difficult to meet the requirements: first, server virtualization technologies such as KVM and XEN have a high degree of isolation, but virtual machines are relatively "cumbersome" and difficult to adapt to the dynamic battlefield environment; second, traditional virtualization Under the framework, computing and storage are separated, so that there is a performance bottleneck in the application of reading data; the third is limited by performance and technical bottlenecks, the current traditional server virtualization technology is inefficient to run on domestic CPU platforms, and cannot meet the practical needs of the battlefield