scholarly journals A Novel Adaptation Method for HTTP Streaming of VBR Videos over Mobile Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Hung T. Le ◽  
Hai N. Nguyen ◽  
Nam Pham Ngoc ◽  
Anh T. Pham ◽  
Truong Cong Thang

Recently, HTTP streaming has become very popular for delivering videos over the Internet. For adaptivity, a provider should generate multiple versions of a video as well as the related metadata. Various adaptation methods have been proposed to support a streaming client in coping with strong bandwidth variations. However, most of existing methods target at constant bitrate (CBR) videos only. In this paper, we present a new method for quality adaptation in on-demand streaming of variable bitrate (VBR) videos. To cope with strong variations of VBR bitrate, we use a local average bitrate as the representative bitrate of a version. A buffer-based algorithm is then proposed to conservatively adapt video quality. Through experiments in the mobile streaming context, we show that our method can provide quality stability as well as buffer stability even under very strong variations of bandwidth and video bitrates.

Author(s):  
Epi Ludvik Nekaj

A digital transformation is underway. One that is redefining the essence of human interaction and with ideas, share unused resources and create new on-demand services that are customisable and unique. These are only a few examples of real productivity that when layered on the Internet creates an abundance of resources and opportunity. This people-powered abundance is called the crowd economy. It is the way the society lives, works and plays. There is a new paradigm shift that challenges traditional notions of the “norm” while expanding possibilities. The hallmark of the digital age is social connections that are boosted by the web and mobile networks. These technological advances have taken collaboration and cooperation to a level never seen before. Social connections through the web have gone beyond social media likes and shares and has evolved into social productivity - a phenomenon that arises when networked crowds collaborate to solve problems, raise funds, and come up with innovative ideas and solutions.


Author(s):  
Håvard Espeland ◽  
Håkon Kvale Stensland ◽  
Dag Haavi Finstad ◽  
Pål Halvorsen

Segmented adaptive HTTP streaming has become the de facto standard for video delivery over the Internet for its ability to scale video quality to the available network resources. Here, each video is encoded in multiple qualities, i.e., running the expensive encoding process for each quality layer. However, these operations consume both a lot of time and resources, and in this paper, the authors propose a system for reusing redundant steps in a video encoder to improve the multi-layer encoding pipeline. The idea is to have multiple outputs for each of the target bitrates and qualities where the intermediate processing steps share and reuse the computational heavy analysis. A prototype has been implemented using the VP8 reference encoder, and their experimental results show that for both low- and high-resolution videos the proposed method can significantly reduce the processing demands and time when encoding the different quality layers.


Author(s):  
Epi Ludvik Nekaj

A digital transformation is underway. One that is redefining the essence of human interaction and with ideas, share unused resources and create new on-demand services that are customisable and unique. These are only a few examples of real productivity that when layered on the Internet creates an abundance of resources and opportunity. This people-powered abundance is called the crowd economy. It is the way the society lives, works and plays. There is a new paradigm shift that challenges traditional notions of the “norm” while expanding possibilities. The hallmark of the digital age is social connections that are boosted by the web and mobile networks. These technological advances have taken collaboration and cooperation to a level never seen before. Social connections through the web have gone beyond social media likes and shares and has evolved into social productivity - a phenomenon that arises when networked crowds collaborate to solve problems, raise funds, and come up with innovative ideas and solutions.


Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.


Network ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 28-49
Author(s):  
Ehsan Ahvar ◽  
Shohreh Ahvar ◽  
Syed Mohsan Raza ◽  
Jose Manuel Sanchez Vilchez ◽  
Gyu Myoung Lee

In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.


2014 ◽  
Vol 602-605 ◽  
pp. 3363-3366
Author(s):  
Yi Ming Sun ◽  
Chun Lei Han

In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively mine the use feelings of the phone from a large number of mobile phone users' reviews.


2007 ◽  
Vol 149 (4) ◽  
pp. 187-195 ◽  
Author(s):  
Steven M. Alston ◽  
Kenneth A. Solen ◽  
Adam H. Broderick ◽  
Sivaprasad Sukavaneshvar ◽  
S. Fazal Mohammad

2020 ◽  
Vol 18 (13) ◽  
Author(s):  
Ahmad Sahir Jais ◽  
Azizan Marzuki

E-hailing services are known to be on-demand vehicle acquisition that relies on network dependency and use of a specific digital application through the Internet. The objectives of this study were to investigate the adoption of e-hailing services from the initial inception, issues in adoption and the direction of e-hailing services within the context of Malaysia. A Systematic Literature Review (SLR) related to the e-hailing industry was used by employing the inclusion criteria of keywords generated from the literature data pool. The legalisation of e-hailing services in Malaysia had spurred the growth of the industry. With the establishment of the Transportation Network Company, which was a positive sign for e-hailing to continue to flourish, the industry was considered as a complement to the existing public transportation system. The growth projection showed that e-hailing services will continue to be part of the Malaysian transportation sectors and would remain competitive in contributing to the domestic economy. However, some barriers would deter the progress of e-hailing services, such as over-regulation by the government.


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