Bayesian Network Model for Estimating User Satisfaction of Multimedia Cloud Services

Karadimce, Aleksandar; Davčev, Danco

doi:10.1145/3151848.3151850

Cited by 1 publication

(2 citation statements)

References 16 publications

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“…The initial model for assessment of quality using the Bayesian network is consists of four stages: development, quantification, interrogation and validation stage [1]. The proposed improved model considers learning stage, after quantifying the BN and before interrogation of BN.…”

Section: Proposed Model For Assessment Of Quality Using the Bayesian mentioning

confidence: 99%

“…The empirical study made within this research aimed to differentiate the most significant factors that have the greatest impact on the quality of the offered services within an academic environment. Our previous research paper [1] has highlighted the scientific contribution of the importance of modelling the Quality of Experience for multimedia cloudbased services, in order to propose a new way of determining the end user quality perception.…”

Section: Introductionmentioning

confidence: 99%

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Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services

Karadimce

Davčev

2018

JMM

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Service providers are in constant search for appropriate tools that will help them to determine and measure the satisfaction of end-users. In terms of efficient utilization of network resources, they are constantly striving to guaranty the quality, availability, and responsibilities of the directly measurable parameters with the service-level agreements (SLA). The introduction of cloud computing technology aims to provide stable, reliable and encapsulated environment for users who use different types of mobile and desktop devices to simultaneously access shared resources that are available anywhere and at any time. However, what is lacking in this direction is an assessment of how much the end-users themselves are satisfied with the cloud-based services offered. This research has considered different cloud computing service categories, some of them have been extensively used and others are still under development. These services use a variety of organizational and infrastructure access models, making them easily accessible and practical for work. The very nature of cloud computing-based services allows dynamic allocation of resources based on end-user needs, which makes the process

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Section: Proposed Model For Assessment Of Quality Using the Bayesian mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services

Karadimce

Davčev

2018

JMM

Self Cite

View full text Add to dashboard Cite

show abstract

Bayesian Network Model for Estimating User Satisfaction of Multimedia Cloud Services

Cited by 1 publication

References 16 publications

Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services

Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services

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