Virtual machine position selection system facing load balance in cloud computation environment

Abstract

The invention discloses a virtual machine position selection system facing load balance in a cloud computation environment, which comprises a front end module and a rear end module, wherein the front end module comprises a comprehensive load computation module and a host selection module, and the rear end module comprises a plurality of distributed node agent modules in an integrated manner. Each node agent module comprises a node load collection module, a node load predication module and a node load incremental computation module. Cloud computation serving as a novel computation and service method is put forward and is increasingly widely paid attention to, popularized and applied, and the virtual machine position selection system serves as a vital module in resource allocation of cloud computation, so that the virtual machine position selection system has the advantages that the virtual machine network throughput rate in the cloud computation environment is increased, the resource preemption probability of virtual machines is decreased, the service quality of a virtual host is improved, and the load balance of a distributed system in the cloud computation environment is enhanced. Hence, the virtual machine position selection system is wide in application range and capable of generating remarkable economic benefit.

Description

technical field [0001] The invention discloses a virtual machine location selection system, in particular to a load balancing-oriented virtual machine location selection system in a cloud computing environment. It belongs to the field of computer technology. Background technique [0002] In recent years, the rapid development of network applications has led to an increasing demand for computing power. With the development of grid computing, parallel computing, and distributed computing, cloud computing has emerged as the times require. According to the definition of the National Institute of Standards and Technology (NIST), the current cloud computing services can be divided into three levels, namely: (1) infrastructure as a service (IaaS), such as Amazon's elastic computing cloud (elastic compute cloud, (referred to as EC2), IBM's blue cloud (blue cloud) and Sun's cloud infrastructure platform (IAAS), etc.; (2) platform as a service (PaaS), such as Google's Google App Engi...

AI Technical Summary

Problems solved by technology

[0014] The purpose of the present invention is to solve problems such as the proper allocation of virtual resources in the cloud computing environment, especially for the problem of virtual machine location selection (that is, how to properly select a host machine for a virtual machine), and face the resource load balancing goal, to invent a cloud computing The load balancing-oriented virtual machine location selection system in the environment will ultimately improve the virtual machine network throughput rate in the cloud computing environment, reduce the resource preemption probability of the virtual machine, improve the service quality of the virtual host and improve the system load balance in the cloud computing environment

Images