Multi-Resolution Multimedia QoE Models for IPTV Applications

Internet television (IPTV) is rapidly gaining popularity and is being widely deployed in content delivery networks on the Internet. In order to proactively deliver optimum user quality of experience (QoE) for IPTV, service providers need to identify network bottlenecks in real time. In this paper, we develop psycho-acoustic-visual models that can predict user QoE of multimedia applications inreal timebased on online network status measurements. Our models are neural network based and cater to multi-resolution IPTV applications that include QCIF, QVGA, SD, and HD resolutions encoded using popular audio and video codec combinations. On the network side, our models account for jitter and loss levels, as well as router queuing disciplines: packet-ordered and time-ordered FIFO. We evaluate the performance of our multi-resolution multimedia QoE models in terms of prediction characteristics, accuracy, speed, and consistency. Our evaluation results demonstrate that the models are pertinent for real-time QoE monitoring and resource adaptation in IPTV content delivery networks.

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Vertical Integration in Content Provisioning With Cloud Migration

Encyclopedia of Organizational Knowledge, Administration, and Technology - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-3473-1.ch072 ◽

2021 ◽

pp. 1031-1044

Author(s):

Branka Mikavica ◽

Aleksandra Kostic-Ljubisavljevic

Keyword(s):

Vertical Integration ◽

Service Providers ◽

Content Delivery ◽

Continuous Growth ◽

Content Delivery Networks ◽

Resource Investment ◽

Cloud Migration ◽

High Bandwidth ◽

Vertical Interconnection ◽

Delivery Networks

The continuous growth of internet traffic is significantly pushed by emerging high bandwidth demanding contents. All participants in the content provisioning process including content providers, service providers, Content Delivery Networks (CDN) and customers are influenced by bandwidth requirements. Appropriate bandwidth demand estimation is of great importance for addressing resource investment. Providers in content provisioning process need to consider cloud migration in order to minimize costs. The vertical interconnection between involved providers is necessary. Larger undertakings often perform vertical integration, thus ensuring a higher control over different segments of the process. The vertically integrated content provider's incentives for cloud migration can induce significant changes in interconnection contracts in the content provisioning process. In this chapter different methods of vertical interconnection charging among vertically integrated providers are analyzed and compared.

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Providing Information Centricity in Today’s Internet via Software-Defined Networking and In-Network Processing

PIK - Praxis der Informationsverarbeitung und Kommunikation ◽

10.1515/pik-2017-0002 ◽

2016 ◽

Vol 39 (3-4) ◽

Author(s):

Tim Gerhard ◽

Dennis Schwerdel ◽

Paul Müller

Keyword(s):

Service Providers ◽

Content Delivery ◽

Global Network ◽

The Internet ◽

Transport Protocol ◽

Content Delivery Networks ◽

Underlying Network ◽

Delivery Networks ◽

Application Developers ◽

Or Applications

AbstractThe Internet is a successful network that connects people all over the world. However, it has some fundamental architectural problems which require application developers and service providers to spend a tremendous effort in combating these. Examples for these efforts are content delivery networks or mobile TCP. Thus, it can be said that the Internet is currently not fulfilling the requirements on the global network anymore. The Internet of the future, or its replacement, must solve these problems.There are multiple clean-slate approaches for information-centric networking. However, they are inherently incompatible to the Internet or applications building on it.This work presents a novel resource transport protocol that is optimized for detection by software-defined networks and may be re-routed to in-network processors. Furthermore, it is shown how this protocol can be used to support concepts of ICN even in today’s Internet. Moreover, the resource format that is used in this work is independent from the underlying network, resulting in possible reuse in other networks as well. Applications and protocols building on this resource format can thus easily be re-used in clean-slate networks like NDN.

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Automatic Detection of Grid Delivery Services Using a Real-Time Monitoring System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.610.633 ◽

2014 ◽

Vol 610 ◽

pp. 633-637

Author(s):

Yeo Neo Kim ◽

Gun Woo Kim ◽

Gyun Woo

Keyword(s):

Operating System ◽

Content Delivery ◽

Simple Approach ◽

Automatic Method ◽

Network Resources ◽

Content Delivery Networks ◽

Delivery Services ◽

Network Usage ◽

Delivery Networks

Though Grid Delivery Services (GDSs) can promote Quality of Service (QoS) in Content Delivery Networks (CDNs), some of them may degrade the performance of the client computers by consuming the network resources. The worst part of GDSs is that some of them are registered as system services and executed automatically when the operating system boots up. Since GDSs are not classified as malware, it is extremely hard to detect them automatically even when the user wants to remove them. This paper proposes an automatic method to detect GDSs by monitoring the network usage of all the processes. We include empirical evidence to indicate this approach is effective even though it adopts an extremely simple approach.

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Content Delivery Networks – A Survey

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0136 ◽

2017 ◽

Vol 7 (7) ◽

pp. 228 ◽

Cited By ~ 1

Author(s):

S. Dhanalakshmi ◽

T. Prabakaran ◽

Krishna Kishore

Keyword(s):

Content Delivery ◽

The Internet ◽

Web Content ◽

Content Delivery Network ◽

Content Delivery Networks ◽

The World ◽

And Performance ◽

Delivery Networks ◽

The Web

Content Delivery Network is a network of servers hosted by a service provider in multiple locations of the world so that the content could deliver from a server that is nearest to the consumer requesting for it. It has evolved to overcome the inherent limitations of the internet regarding user perceived Quality of Service (QoS) when accessing the Web Content. It has been proposed to maximize bandwidth, improve accessibility and maintain correctness through content replication. The content is distributed to cache servers and located close to the users, resulting in fast, reliable applications and web services for the users. In this paper we provide a components, technologies and comprehensive taxonomy with a broad coverage of CDNs regarding the organizational structure, content distribution mechanisms, request redirection techniques, and performance measurement methodologies.

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Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities

Sensors ◽

10.3390/s20061714 ◽

2020 ◽

Vol 20 (6) ◽

pp. 1714 ◽

Cited By ~ 3

Author(s):

Rocío Pérez de Prado ◽

Sebastián García-Galán ◽

José Enrique Muñoz-Expósito ◽

Adam Marchewka ◽

Nicolás Ruiz-Reyes

Keyword(s):

Optimal Allocation ◽

Service Providers ◽

Cloud Service ◽

Content Delivery Networks ◽

Challenges And Opportunities ◽

Scientific Technical ◽

Balance Energy ◽

Smart Health ◽

Delivery Networks

Docker containers are the lightweight-virtualization technology prevailing today for the provision of microservices. This work raises and discusses two main challenges in Docker containers’ scheduling in cloud-fog-internet of things (IoT) networks. First, the convenience to integrate intelligent containers’ schedulers based on soft-computing in the dominant open-source containers’ management platforms: Docker Swarm, Google Kubernetes and Apache Mesos. Secondly, the need for specific intelligent containers’ schedulers for the different interfaces in cloud-fog-IoT networks: cloud-to-fog, fog-to-IoT and cloud-to-fog. The goal of this work is to support the optimal allocation of microservices provided by the main cloud service providers today and used by millions of users worldwide in applications such as smart health, content delivery networks, smart health, etc. Particularly, the improvement is studied in terms of quality of service (QoS) parameters such as latency, load balance, energy consumption and runtime, based on the analysis of previous works and implementations. Moreover, the scientific-technical impact of smart containers’ scheduling in the market is also discussed, showing the possible repercussion of the raised opportunities in the research line.

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