Load balancer for cloud system

Abstract

The invention discloses a load balancer for a cloud system based on a threshold regulation and control algorithm, and belongs to the field of computer processors. The load balancer comprises two layers of components, wherein the first-layer component comprises a first identification counter module, a second identification counter module, a system index monitor (including a display screen) and a random parameter generator module; the second-layer component is a virtual machine driver module; the first counter module is used for identifying the arrived customer demands and counting the customerdemands arriving at the system; the second identification counter module is used for calculating the arrival rate and sensing the number of customer demands in line, and the second identification counter module is used for recognizing the processed customer demands, counting the customer demands leaving the system, calculating the output rate and sensing the total number of customer demands in thesystem; the random parameter generator module randomly generates strategy parameters and can also be manually set; and the system index monitor senses and displays various indexes of the system in real time, and on the basis of an identification result of the first-layer component, can calculate the optimal threshold value and the minimum system cost through a threshold value algorithm, and the result is also displayed on the system index monitoring screen, and the optimal threshold value command is received through the virtual machine driver module, so that the scheduling of the virtual machine is controlled, and the optimal virtual machine scheduling is realized. The load balancer has the advantage that the number of the virtual machines can be regulated and controlled in real time, sothat the system performance is optimal.

Description

technical field [0001] The invention belongs to the field of computer processors and relates to a load balancer based on a threshold regulation algorithm. Background technique [0002] With the vigorous development of computer technology and Internet technology, the information age has come a long time ago. In recent years, Internet technology has been deeply integrated with all walks of life, gradually forming "Internet +", which has benefited all aspects of human life, but also led to more serious data explosions and information floods, which makes customers more concerned about the performance of various processors. The requirements are more stringent. On the cloud platform, the virtual machine scheduling and optimization method is an important way to realize the reasonable allocation of cloud computing resources and energy saving. The dynamic scheduling strategy of virtual machines is getting better and better, which can make the entire cloud platform handle customer n...

AI Technical Summary

Problems solved by technology

Some studies have proposed a multi-objective virtual machine migration algorithm to ensure high resource utilization while reducing the traffic burden between associated virtual machines. Some studies have proposed a Scattered algorithm to optimize the traffic between virtual machines. While minimizing the frequency of migrations, these authors have given less consideration to the costs incurred by the migration itself

More importantly, these migration strategies based on individual virtual machines will increase communication costs due to the association between virtual machines, and are not suitable for actual virtual machine migration scenarios

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