EVALUATION OF CLOUD COMPUTING CLUSTER PERFORMANCE
DOI: 10.36724/2072-8735-2020-14-12-72-79
Aleksandr O. Volkov, Moscow Technical University of Communication and Informatics, Moscow, Russia, aleksandr.o.volkov@phystech.edu
Abstract
For cloud service providers, one of the most relevant tasks is to maintain the required quality of service (QoS) at an acceptable level for customers. 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. All these factors require an accurate and well-adapted mechanism for analyzing the performance of the service provided. 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. 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. 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 this work, the flow of service requests is described by the Poisson model, which is a special case of the Engset model. The proposed model and the results of its analysis can be used to evaluate the main characteristics of the performance of cloud systems.
Keywords:cloud computing, performance evaluation, multiservice models, processor sharing (PS).
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Information about author:
Aleksandr O. Volkov, PhD student, MTUCI, the chair of communication networks and commutation systems Moscow, Russia