Perception of quality in cloud computing based services

Abstract

Cloud computing consists of hardware and software resources, available on the Internet as a set of services for users. This technology aims to provide stable, reliable and encapsulated dynamic information and communication environment for end users to be able to simultaneously access shared resources that are available anywhere and at any time. The major benefit of cloud computing is used to improve the perception of quality for the client requests. Commonly in the communications industry, the term Quality of Experience (QoE) is used as a measure for the user perception of service from the user's point of view. In this research, we propose a classification of cloud-based services based on objective and subjective characteristics for perception of quality. The main contribution in this paper is a novel approach based on Bayesian modeling for efficient assessment of QoE perception for cloud-based services considering the level of interactivity, service complexity, usage domain, and multimedia-intensity.

Information System for Trust Food Supply Management

“…Quality of packaging (five star models) will be applied for RFID-based packaging [5]. Quality of Experience (QoE) metrics based on food provenance and traceability will provide subjective and objective measure of food quality perception [6].The combination of the Internet of Things with Blockchain Technology and Complexity Science creates entirely new opportunities to address our challenges in all areas [8].…”

“…[6] food metrics and bridge the gap between the subjective consumer perception and objective quality standards and models in order to provide trusted estimation of the level of consumer's satisfaction. QoE is applied to the whole cooperative chain.…”

Comparison of multimedia communications QoE models by Bayesian networks and Bayesian statistics: a case study

“…We next glance through research papers on multimedia communications QoE modeling by BN and BS. QoE studies by the BN method have been published in [4,5,18,19,23,24,26], while those by the BS appear in [6,20,21]. We can find no QoE study in which the same multimedia communication system is analyzed by both BN and BS with an aim of comparing the two analytic results.…”

“…Karadimce and Davcev [19] proposed a BN model for a classification of cloud-based services based on objective and subjective characteristics for perception of quality. They use a utility node to evaluate QoE, which is calculated as the expected utility value, with the software GeNIe.…”

“…Studies on assessment of multimedia communications QoE by the BN method appeared in literature earlier than those by the BS method; e.g., see [4,18,19,23,24,26] for BN, and [6,20,21] for BS. Despite the similarity in name, however, no comparative study on multimedia communications QoE assessment between the two methods can be found in publications.…”