QoE-centric service delivery: A collaborative approach among OTTs and ISPs

Abstract

The provisioning of the quality to end users is a major objective for the successful deployment of multimedia services over the Internet. It is more and more evident from past research and service deployments that such an objective often requires a collaboration among the different parties that are involved in the delivery of the service. This paper specifically focuses on the cooperation between the Over-The-Top (OTTs) and the Internet Service Providers (ISPs) and proposes a novel service delivery approach that is purely driven by the Quality of Experience (QoE) provided to the final common users. Initially, we identify the need of the collaboration among the OTTs and the ISPs where we not only highlight some of the enterprise level motivations (revenue generation) but also the technical aspects which require collaboration. Later, we provide a reference architecture with the required modules and vertical interfaces for the interaction among the OTTs and the ISPs. Then, we provide a collaboration model where we focus on the modeling of the revenue, whose maximization drives the collaboration. The revenue is considered to be dependent on the user churn, which in turn is affected by the QoE and is modeled using the Sigmoid function. We illustrate simulation results based on our proposed collaboration approach which highlight how the proposed strategy increases the revenue generation and QoE for the OTTs and the ISPs hence providing a ground for ISP to join the loop of revenue generation between OTTs and users

Challenges of future multimedia QoE monitoring for internet service providers

“…Here, [43] shows an SDN-based ISP-OTT collaboration scheme for video delivery that focuses on video-specific traffic features. Another architecture for ISP-OTT collaboration is proposed in [4]. Here, the OTT monitors quality as delivered to the users on a session basis.…”

“…They share QoE measurements with an ISP for a joint management of service delivery. The work in [4] shows that this approach could lower user churn.…”

“…For example, it is easy to deploy a new model version via software updates and containerized solutions (such as Docker), 4 rather than providing firmware upgrades for hardware probes. This enables more rapid upgrades, higher scalability and lower maintenance costs.…”

Predicting the performance of virtual reality video streaming in mobile networks

“…QoE has shown to be a critical factor for video applications [1,18]. As such, both network operators and VR content providers are required to answer an important question: considering the wide range of performance levels of IP networks, to which extent are the currently observable network conditions able to provide users of VR applications with adequate QoE?…”

Modelling user quality of experience from objective and subjective data sets using fuzzy logic

“…Moreover, as user awareness of the provisioned service quality increases, the risk of user churn rises, which may lead to decreased income and market reputation, as discussed by Ahmad et al in [1] and Nogueira et al in [2].…”