scholarly journals Deep Reinforcement Learning-Based Collaborative Video Caching and Transcoding in Clustered and Intelligent Edge B5G Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Zheng Wan ◽  
Yan Li
Keyword(s):  
Reinforcement Learning ◽  
Video Streaming ◽  
User Preference ◽  
User Requirement ◽  
State Spaces ◽  
Video Caching ◽  
Network Condition ◽  
Collaborative Caching ◽  
Streaming Services ◽  
Streaming Service

In the next-generation wireless communications system of Beyond 5G networks, video streaming services have held a surprising proportion of the whole network traffic. Furthermore, the user preference and demand towards a specific video might be different because of the heterogeneity of users’ processing capabilities and the variation of network condition. Thus, it is a complicated decision problem with high-dimensional state spaces to choose appropriate quality videos according to users’ actual network condition. To address this issue, in this paper, a Content Distribution Network and Cluster-based Mobile Edge Computing framework has been proposed to enhance the ability of caching and computing and promote the collaboration among edge severs. Then, we develop a novel deep reinforcement learning-based framework to automatically obtain the intracluster collaborative caching and transcoding decisions, which are executed based on video popularity, user requirement prediction, and abilities of edge servers. Simulation results demonstrate that the quality of video streaming service can be significantly improved by using the designed deep reinforcement learning-based algorithm with less backhaul consumption and processing costs.

Simulation Study for the Performance Impacts of Video Multicast Caused by In-Cast in Cloud Computing Environment

2014 ◽  
Vol 598 ◽  
pp. 677-681
Author(s):  
Yen Wen Chen ◽  
Yuan Sing Ho ◽  
Chung Chen Sun
Keyword(s):  
Cloud Computing ◽  
Video Streaming ◽  
Packet Transmission ◽  
System Throughput ◽  
Transmission Performance ◽  
Software Environment ◽  
Cloud Computing Environment ◽  
Video Multicast ◽  
Streaming Services ◽  
Streaming Service

Cloud computing is becoming one of the most convenient ways for information services through network accesses. In this paper, we describe the architecture of cloud computing and discuss the issue of in-cast, which may downgrade the transmission performance when the number of simultaneous transmission servers is getting larger. The in-cast transmission may introduce the out of sequence of packet delivery and may reduce the system throughput. This paper constructs the software environment to simulate the performance of video streaming services delivered by the servers in cloud. We first examine the performance of the out of sequence issue of packet transmission when the Hashed Credit Fair (HCF) algorithm was applied and investigate the multicast performance of video streaming service with respect to the numbers of servers. With the increasing of the number of servers, we note that transmission performance is not improved, on the contrary, the system throughput downgrades sharply. We believe the simulation results of this paper will be helpful for the design of cloud video multicast services.

Video quality assessment in video streaming services considering user preference for video content

2014 ◽  
Vol 60 (3) ◽  
pp. 436-444 ◽  
Author(s):  
Demóstenes Z. Rodríguez ◽  
Renata L. Rosa ◽  
Eduardo A. Costa ◽  
Julia Abrahão ◽  
Graca Bressan
Keyword(s):  
Quality Assessment ◽  
Video Streaming ◽  
Video Quality ◽  
User Preference ◽  
Video Quality Assessment ◽  
Video Content ◽  
Streaming Services

scholarly journals KOMUNIKASI PEMASARAN LAYANAN VIDEO STREAMING DAN ON DEMAND MNC GROUP (STUDI KASUS: APLIKASI RCTI+)

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Rizky Ramadhan Putra ◽  
Zinggara Hidayat
Keyword(s):  
Video Streaming ◽  
Video On Demand ◽  
Marketing Communication ◽  
Chief Operating Officer ◽  
On Demand ◽  
Video Viewing ◽  
Streaming Services ◽  
Tv Shows ◽  
Streaming Service ◽  
Demand Service

Current TV and video viewing patterns have changed. Viewers were not completely fixated by broadcast hours and broadcast times. In the internet era, people can watch TV anytime and anywhere. Besides, we do not necessarily watch TV shows from the TV set but our smartphone or laptop gadget. Video streaming services are now increasingly popular in various circles because it can be accessed quickly, anytime, and anywhere. As a significant media business in Indonesia, MNC Group is widening its market presence by launching RCTI+ to gain a large share in digital advertising. To complement its already strong FTA position, RCTI+, a multi-application, including the streaming TV and Video on Demand service, is expected to be Indonesia's most extensive streaming service. How marketing communication in the digitization process since MNC Media must reach a new audience is the digital audience. This article will examine how MNC Media conducts communication marketing in the digitization process in its television business by building RCTI+ to reach its new audiences or digital audiences. This paper used the Descriptive Qualitative method, and this research collects data by interviewing the Chief Operating Officer and Dept. Head of Promotion RCTI+, conducting literature and document studies. Based on the research results, RCTI+ integrates its promotional pillars acquisition and retention, running simultaneously to harmonize its marketing communication.  RCTI+ strives to build a brand and profitable relationships with customers through these two pillars to create brand equity.

Determinants of Millennial behaviour towards current and future use of video streaming services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Philip Walsh ◽  
Ranjita Singh
Keyword(s):  
Technology Acceptance ◽  
Video Streaming ◽  
Business Models ◽  
Service Providers ◽  
Sample Population ◽  
Content Type ◽  
Perceived Values ◽  
Streaming Services ◽  
Streaming Service ◽  
Over Time

Purpose This study aims to investigate the evolution of factors that influence the current and future use of video streaming applications by Millennial consumers. Design/methodology/approach Combining technology acceptance, perceived values and user identity theory this study used factor analysis and multiple regression to examine data from a survey of 292 university undergraduates. Findings Millennial’s current and future use of video streaming services remains driven more by social and emotional values and their effect on identity salience with their choice of content. Ease of use, convenience and monetary value remains less of an influence currently but may become more important in the future with the continued maturity of the industry. Practical implications The results of this study suggest that video streaming service providers should be developing business models that recognize the increasing importance of emotional appeal and self-identity of their service offerings as the industry matures and competition increases. Originality/value The research is novel in addressing future video streaming service provision by examining changes in young consumer behaviour over time within a similar sample population and considering the growth and technological advancement of video streaming services. The results are significant in addressing the gap that exists in understanding whether perceived values for technology adoption of the same product or service by millennials change over time and the implications that have for product and service providers.

scholarly journals QSMVM: QoS-Aware and Social-Aware Multimetric Routing Protocol for Video-Streaming Services over MANETS

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 901
Author(s):  
Efraín Palacios Jara ◽  
Ahmad Mohamad Mezher ◽  
Mónica Aguilar Igartua ◽  
Rebeca P. Díaz Redondo ◽  
Ana Fernández-Vilas
Keyword(s):  
Video Streaming ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Web Technologies ◽  
Dynamic Source ◽  
Previous Proposal ◽  
Streaming Services ◽  
Streaming Service ◽  
Trust Metric ◽  
The Relationship

A mobile ad hoc network (MANET) is a set of autonomous mobile devices connected by wireless links in a distributed manner and without a fixed infrastructure. Real-time multimedia services, such as video-streaming over MANETs, offers very promising applications, e.g., two members of a group of tourists who want to share a video transmitted through the MANET they form, a video-streaming service deployed over a MANET where users watch a film, among other examples. On the other hand, social web technologies, where people actively interact online with others through social networks, are leading to a socialization of networks. Information of interaction among users is being used to provide socially-enhanced software. To achieve this, we need to know the strength of the relationship between a given user and each user they interact with. This strength of the relationship can be measured through a concept called tie strength (TS), first introduced by Mark Granovetter in 1973. In this article, we modify our previous proposal named multipath multimedia dynamic source routing (MMDSR) protocol to include a social metric TS in the decisions taken by the forwarding algorithm. We find a trade-off between the quality of service (QoS) and the trust level between users who form the forwarding path in the MANET. Our goal is to increase the trust metric while the QoS is not affected significantly.

User-Oriented Video Streaming Service Based on Passive Aggressive Learning

2020 ◽  
pp. 491-511
Author(s):  
Makoto Oide ◽  
Akiko Takahashi ◽  
Toru Abe ◽  
Takuo Suganuma
Keyword(s):  
Video Streaming ◽  
Learning Algorithm ◽  
Service Provisioning ◽  
Network Resources ◽  
Regression Problem ◽  
Design And Implementation ◽  
Streaming Services ◽  
Streaming Service ◽  
Online Learning Algorithm

The authors propose a method to dynamically determine appropriate quality of service (QoS) required by users for video streaming services. In the proposed method, the video bit rate as the QoS parameter is determined based on the passive aggressive learning, which is an online learning algorithm for a regression problem, according to the user requirements, computational/network resources and service provisioning environments. Moreover, the method makes it possible to provide appropriate QoS by using optimization solution. In this paper, the authors describe the design and implementation of the method, then confirm the feasibility of the proposed method through the experiments.

User-Oriented Video Streaming Service Based on Passive Aggressive Learning

2017 ◽  
Vol 9 (1) ◽  
pp. 35-54 ◽  
Author(s):  
Makoto Oide ◽  
Akiko Takahashi ◽  
Toru Abe ◽  
Takuo Suganuma
Keyword(s):  
Video Streaming ◽  
Learning Algorithm ◽  
User Requirements ◽  
Service Provisioning ◽  
Network Resources ◽  
Regression Problem ◽  
Streaming Services ◽  
Streaming Service ◽  
Online Learning Algorithm

The authors propose a method to dynamically determine appropriate quality of service (QoS) required by users for video streaming services. In the proposed method, the video bit rate as the QoS parameter is determined based on the passive aggressive learning, which is an online learning algorithm for a regression problem, according to the user requirements, computational/network resources and service provisioning environments. Moreover, the method makes it possible to provide appropriate QoS by using optimization solution. In this paper, the authors describe the design and implementation of the method, then confirm the feasibility of the proposed method through the experiments.

scholarly journals Netflix and L2 learning: A case study

2018 ◽  
Vol 26 (2) ◽  
pp. 30 ◽  
Author(s):  
Gilbert Dizon
Keyword(s):  
Language Learning ◽  
Video Streaming ◽  
Video On Demand ◽  
L2 Motivation ◽  
Video Viewing ◽  
L2 Learning ◽  
Efl Students ◽  
Streaming Services ◽  
Streaming Service

<p>The evolving video viewing habits of consumers combined with advances in mobile technology have resulted in the growth of video on demand (VOD) services. While these video streaming services potentially offer several benefits for L2 learners, little is known about them in the context of language learning. Thus, this study fills this gap in the literature by examining EFL students’ views of Netflix, the leading provider of subscription VOD. The study also investigates the extent to which EFL learners use Netflix for L2 learning and the means by which they access the service. Nine Japanese EFL students participated in the study and were given three months to use Netflix. The participants were then interviewed to obtain their opinions of the video streaming service. Four themes were extracted from the interview data: (1) enhanced learning effectiveness, (2) increased L2 motivation, (3) better access to L2 knowledge, and (4) hindered convenience. It was also found that the learners watched primarily through mobiles devices rather than PCs, and viewed more L2 titles than L1 programming. These results illustrate that subscription VOD has the potential to foster L2 learning and underscore the necessity for more research into their use for language learning.</p>

Market Capture of Music Streaming Services in India

2020 ◽  
pp. 65-67
Keyword(s):  
Country Music ◽  
Internet Services ◽  
Indian Market ◽  
Internet Users ◽  
Streaming Services ◽  
Market Capture ◽  
Streaming Service ◽  
Music Streaming ◽  
Day By Day

India is a very vast market for internet services as it has over 480 million active internet users in the country. Music streaming services in India is emerging day by day. The competition in the market is so high that even two giants Jio Music and Saavn join their hand in 2018 to provide a combine service all across the globe. In, 2019 a global giant Spotify entered into music streaming market in India and affected the each music service in India. Gaana owned by Times Internet have over 150 million active monthly users in the country while JioSaavn reported 100 million active monthly users as per a website. This research is going to study the market capture of various music streaming services in India. Currently, as per the research, Spotify is the most popular streaming service. As per the literature available on various platforms other streaming services were holding the major proportion of the Indian market but after the launch of Spotify, it became most loved streaming service. The research is being done to find out the existing music streaming services are affected by the entrance of Spotify or not

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