Review and Analysis of Cloud Computing Quality of Experience

Abstract

Abstract. Cloud computing is gaining growing interest from industry, organizations and the research community. The technology promises many advantages in terms of cost saving by allowing organizations and users to remotely gain access to a huge pool of data storage and processing power. However, migrating services to cloud computing introduce new challenges in performance and service quality. Quality of service (QoS) is and has been used as a means of monitoring cloud service performance. However, QoS is based on network parameters which do not necessarily reflect users' quality of experience. This paper discusses cloud computing quality of experience as perceived by the person using the cloud-based applications and services. We also review a selected current contribution to the quality of experience (QoE). We have expert reviews undertaken to identify six key performance indicators (PKIs). Based on these six KPIs, we sent our surveys, collected feedback and analyze data to confirm that QoE measurement can meet organizational goals, user satisfaction and stakeholders' requirements.

Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services

“…A literature review and analysis on the current state of cloud computing has identified six key performance indicators (PKIs) that are essential for the proposed QoE framework [6]. The statistical analysis results have confirmed that the use of cloud QoE adoption has helped students to be more motivated for learning [6].…”

“…A literature review and analysis on the current state of cloud computing has identified six key performance indicators (PKIs) that are essential for the proposed QoE framework [6]. The statistical analysis results have confirmed that the use of cloud QoE adoption has helped students to be more motivated for learning [6]. The typical representatives of real-time and on-demand multimedia content delivery systems require extensive research on Quality of Experience (QoE) estimation, which is based on selecting the appropriate services that will maximize the user's satisfaction with the delivered content.…”