DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation

Abstract

The wide adoption of multimedia service-capable mobile devices, the availability of better networks with higher bandwidths, and the availability of platforms offering digital content has led to an increasing popularity of multimedia streaming services. However, multimedia streaming services can be subject to different factors that affect the quality perceived by the users, such as service interruptions or quality oscillations due to changing network conditions, particularly in mobile networks. Dynamic Adaptive Streaming over HTTP (DASH), leverages the use of content-distribution networks and the capabilities of the multimedia devices to allow multimedia players to dynamically adapt the quality of the media streaming to the available bandwidth and the device characteristics. While many elements of DASH are standardized, the algorithms providing the dynamic adaptation of the streaming are not. The adaptation is often based on the estimation of the throughput or a buffer control mechanism. In this paper, we present a new throughput estimation adaptation algorithm based on a statistical method named Adaptive Forgetting Factor (AFF). Using this method, the adaptation logic is able to react appropriately to the different conditions of different types of networks. A set of experiments with different traffic profiles show that the proposed algorithm improves video quality performance in both wired and wireless environments.

High Quality Network and Device Aware Multimedia Content Delivery for Mobile Cloud

“…The DASH helps in providing enhanced video streaming by using the dynamic adaptive bitrate selection and current quality levels. On the basis of this research, several solutions and implementations are presented by using DASH [5]- [12] and all the research works confirm that video streaming and service quality is enhanced. However, there are still some limitations in current research for mobile devices due to limited mobile resources, mobility and bandwidth variations.…”

“…The collaborative and cooperative techniques are discussed and implemented in [18] which highlight and resolve the issues regarding resource competing among various users. Another bitrate adaptation algorithm is introduced in [5], that performs on the basis of throughput estimation while adopting adaptive forgetting factor. A new virtual caching scheme is presented by the authors in [19] for the adaptive video streaming that performs on the basis of network function virtualization and helps in storing and saving the resources.…”

A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors

“…According to the characteristics of the estimation parameters required, appropriate automatic adjustment methods are selected for the forgetting factors λ a and λ b , respectively. The specific algorithm is as follows [29,30]:…”

Contribución al diseño de servicios multimedia en arquitecturas de red móvil basadas en funciones de red virtualizadas

“…Durante la realización de esta tesis, se ha colaborado en el diseño y desarrollo de un nuevo algoritmo de adaptación [ABLP18] que se basa en el método matemático Adaptive Forgetting Factor (AFF). Si el ancho de banda varía frecuentemente y de forma irregular o abrupta el estimador tiende a calcular el ancho de banda considerando un número de segmentos N pequeño.…”

“…Tras validar las propuestas sobre el Escenario A, las versiones modificadas de las máquinas virtuales se interconectan de nuevo a la red móvil para validar la solución en un entorno real de pruebas (Escenario B). Esta metodología se ha aplicado con éxito para validar un nuevo algoritmo de adaptación DASH basado en el método estadístico Adaptive Forgetting Factor (AFF) [ABLP18].…”