![]() ![]() The customer sends a service request to a cloud service provider who provides on-demand services. In real-world cloud computing platforms (such as Amazon EC2, Microsoft Azure, IBM Blue Cloud) there are many work nodes managed by the cloud scheduler. The service provider gives resources leased from infrastructure providers and permission to use it's cloud services. Three-tier cloud architecture is shown on the Figure 1. The infrastructure provider grants access to it's hardware. However, sometimes the infrastructure provider and the cloud provider are presented by the same entity. Typically, in a cloud computing environment, there are always three tiers: infrastructure providers, cloud service providers and customers. (in Russian)Ĭloud computing is a model that provides convenient, on-demand network access to a shared pool of computing resources that can be quickly provisioned and released with minimal operating costs. (2020) Evaluation of cloud computing cluster performance. Volkov, PhD student, MTUCI, the chair of communication networks and commutation systems Moscow, Russia ![]() Moscow Technical University of Communication and Informatics, Moscow, Russia, cloud computing, performance evaluation, multiservice models, processor sharing (PS)Īleksandr O. Manuscript received 12 October 2020 Accepted 17 November 2020 EVALUATION OF CLOUD COMPUTING CLUSTER PERFORMANCE The proposed model and the results of its analysis can be used to evaluate the main characteristics of the performance of cloud systems. In this work, the flow of service requests is described by the Poisson model, which is a special case of the Engset model. The proposed analytical model for processing requests for a cloud computing system in the Processor Sharing (PS) service mode allows us to solve emerging problems. In cloud systems, there is a serious variance in the requirements for the provided resource, as well as there is a need to quickly process incoming requests and maintain the proper level of quality of service - all of these factors cause difficulties for cloud providers. For the reasons stated above, the development of a model and algorithms for estimation the required resource is an urgent task that plays a significant role in cloud systems performance evaluation. All these factors require an accurate and well-adapted mechanism for analyzing the performance of the service provided. This condition complicates the work of providers, since now they need to not only manage their resources, but also provide the expected level of QoS for customers. ![]()
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