Titlebook: Computational Inference and Control of Quality in Multimedia Services; Vlado Menkovski Book 2015 The Editor(s) (if applicable) and The Aut

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978-3-319-36639-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Optimization of Renewal Systems,formation services. As video enabled services become more present in our lives, our expectations about their performance and reliability is being set. In order to meet customer’s expectations, service providers need to be able to deliver increasingly more demanding services with higher quality stand

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https://doi.org/10.1007/978-1-4614-7085-4ality. Typically this means achieving an efficient system where the maxium amount of users are serviced with the sufficient quality. Successful management also entails adjusting to changes in the environment. Reacting to increase in demand or to the requirements of new devices is essential to meetin

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Computational Inference and Control of Quality in Multimedia Services978-3-319-24792-2Series ISSN 2190-5053 Series E-ISSN 2190-5061

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Introduction,formation services. As video enabled services become more present in our lives, our expectations about their performance and reliability is being set. In order to meet customer’s expectations, service providers need to be able to deliver increasingly more demanding services with higher quality stand

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Objective QoE Models,ribute to them are. For example we can measure the loss of IP packets in the network and make an estimation on the effect that this will have on QoE. Similarly, we can measure the amount of signal degradation that a lossy compression process inflicts on the content. These measurements do not convey