INITIAL CLOUD COMPUTING RESOURCE ALLOCATION METHOD BASED ON HIERARCHY ANALYSIS

Abstract

The subject of the study in the article are models and methods of load and resources reallocation in cloud computing systems, in particular, which are based on the infrastructure as a service model. The goal of the work is to optimize initial resource allocation in cloud computing systems by adapting the hierarchy analysis method for implementation in cloud computing. This will allow new virtual machines to be launched with minimal performance degradation for already running applications. The following tasks were solved in the article: the hierarchy analysis model in cloud computing using feasibility research; adapting hierarchy analysis method to cloud computing; implemented method effectiveness evaluation. To solve set tasks, theoretical research approaches and methods were used, which are based on the scientific positions of static, functional and systemic analyses. The following results were obtained – the hierarchy analysis method using to allocate resources in cloud computing systems is proposed. The advantages and disadvantages of this method for use in cloud computing are presented. The hierarchy analysis method has been adapted for cloud computing systems. The algorithm of its use is given. The developed method effectiveness estimation was carried out, which showed the feasibility of using it in cloud computing systems resource allocation. Conclusions. The improvement in the method of initial cloud computing resource allocation has increased the ability of these systems to start new virtual machines with a minimum decrease in the performance of already running applications