Research On Situation Awareness Based Resource Management In Cloud Computing Environment

As a new technology of the Internet,cloud computing technology has developed rapidly and become mature increasingly in recent years.Meanwhile,High-performance cloud computing network must rely on the reasonable resource management scheme.Cloud resource management is based on user demands to allocate resources dynamically and reasonably which is the key to ensure the normal operation of the system.However inappropriate resource management will result in an unreasonable allocation of resources and lead to a series of problems.It also affects the utilization and the quality of service of the cloud computing system.Because of a variety of problems,a new challenge is putting forward in this field.This paper analyzes the requirement of resource management in cloud computing environment and introduces the situation awareness technology.So we design and propose the resource management model based on situation awareness.In view of the large amount of data and the frequent change of data,an adaptive data acquisition method is proposed to collect the resource load data in the cloud computing environment.According to this method,it can reduce the burden of cloud data storage and decrease the load of data transmission.Meanwhile,by extracting the characteristics of cloud resource requirement,we design a situation assessment method which is based on the weights of resource.What's more,it not only can gradually realize the overall resource assessment of the current cloud environment,so as to take effective measures as soon as possible against potential disadvantages,but also ensures the quality of service and provides guidance for resource forecasting.Moreover,aiming at the unreasonable of the current cloud resource allocation,a new forecasting model is used for forecasting the resource requirement of the next time which can provide the basis for rational allocation and improve the utilization of resources.Finally,we design and implement the simulation of the cloud resource management model,which can not only realize the dynamic data acquisition,but also can evaluate the load state of the current cloud network in real time and predict the resource requirement of the next time in the cloud computing environment with the collected load data.The model is verified by simulation experiments and the results show that the model can realize the reliable and effective perception of the load state of the resource in the cloud computing environment.