Design, Implementation, and Validation of a Multi-Site Gaming Streaming Service Over a 5G-Enabled Platform

2022 ◽  
pp. 1-11
Author(s):  
Javier Serrano ◽  
Alberto del Rio ◽  
Winnie Nakimuli ◽  
David Jimenez ◽  
Jaime Garcia-Reinoso ◽  
...  
Keyword(s):  

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


2010 ◽  
Vol 32 (10) ◽  
pp. 2440-2445 ◽  
Author(s):  
Xu-min Wu ◽  
Bao-qun Yin ◽  
Jing Huang ◽  
Dong Guo

2020 ◽  
Vol 12 (5) ◽  
pp. 1784 ◽  
Author(s):  
Minjeong Ham ◽  
Sang Woo Lee

Naver V Live, a South Korean live-streaming service, showcases video contents specific to the entertainment industry, such as K-pop and music. On V Live, K-pop stars and their fans can interact directly in a natural way, and V Live provides high-quality video content with novel topics. This study has identified key characteristics of video content that affect its popularity. A total of 620 video contents of five leading Star channels were classified on the basis of production company, type of video content, and whether it was live-streamed or not. The popularity of video content was measured by the number of comments, hearts, and views. To control potential bias, additional variables were set as control variables—such as the number of channel subscribers, mini-album sales, if the video content was previewed, and cumulative number of days since the video content was uploaded. For analysis, a hierarchical linear regression was conducted. The findings suggest future directions in video content planning.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Rosangela Maria De Melo ◽  
Maria Clara Bezerra ◽  
Jamilson Dantas ◽  
Rubens Matos ◽  
Ivanildo José De Melo Filho ◽  
...  

For several years cloud computing has been generating considerable debate and interest within IT corporations. Since cloud computing environments provide storage and processing systems that are adaptable, efficient, and straightforward, thereby enabling rapid infrastructure modifications to be made according to constantly varying workloads, organizations of every size and type are migrating to web-based cloud supported solutions. Due to the advantages of the pay-per-use model and scalability factors, current video on demand (VoD) streaming services rely heavily on cloud infrastructures to offer a large variety of multimedia content. Recent well documented failure events in commercial VoD services have demonstrated the fundamental importance of maintaining high availability in cloud computing infrastructures, and hierarchical modeling has proved to be a useful tool for evaluating the availability of complex systems and services. This paper presents an availability model for a video streaming service deployed in a private cloud environment which includes redundancy mechanisms in the infrastructure. Differential sensitivity analysis was applied to identify and rank the critical components of the system with respect to service availability. The results demonstrate that such a modeling strategy combined with differential sensitivity analysis can be an attractive methodology for identifying which components should be supported with redundancy in order to consciously increase system dependability.


2020 ◽  
Vol 53 (4) ◽  
pp. 835-854
Author(s):  
Veronika Fuechtner ◽  
Paul Lerner

Babylon Berlin (henceforth BB) premiered in Germany on the pay channel Sky TV in October 2017 and in the United States on the streaming service Netflix in January 2018. It is based on Volker Kutscher's series of crime novels set in late Weimar Republic and early Nazi-era Berlin. At its center are the lives and investigations of the laconic and tormented police detective Gereon Rath and his charismatic and irrepressible assistant Charlotte (Lotte) Ritter. In anticipation of the series premiere on public television, marathon screenings took place in 150 cinemas across Germany, where audience members dressed up in 1920s fashion and enjoyed a Currywurst break. Its viewership in the Federal Republic was topped only by the global fantasy behemoth Game of Thrones. The series is clearly modeled on American series such as Mad Men (2007–2015) and The Wire (2002–2008) as it unfolds a complex web of characters and subplots with loving attention to the history and fashions of the time. Indeed, this collaboration of seasoned directors Tom Tykwer, Achim von Borries, and Henk Handloegten is the most expensive German TV series to date. The fact that BB premiered on pay TV while having been largely produced with public funds drew some ire. German reviewers questioned both the circumstances of its production and its creative ambition. While Der Spiegel called it “a masterpiece,” one much debated blog review went so far as to call it “pure crap,” which neither reflected historical truth nor carried artistic merit. Many critics faulted the series for trading in postcard clichés and creating a 1920s “Berlin Disneyland.” The weekly Die Zeit complained that there was a little too much cute dialect, such as “icke” and “kiek ma,” which made the critic sometimes feel like wiping the dirt makeup off the proletarian faces. (And indeed, one of the numerous intertexts of this series are Heinrich Zille's unflinching depictions of proletarian misery.)


2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Iulisloi Zacarias ◽  
Janaína Schwarzrock ◽  
Luciano P. Gaspary ◽  
Andersonn Kohl ◽  
Ricardo Q. A. Fernandes ◽  
...  

Situation awareness in surveillance systems benefits from high-quality video streaming service. This is even more important considering military systems, in which delays in image transmission may have a significant impact on the decision-making process. However, in order to deliver high-quality video streaming service, the required network infrastructure may be prohibitively complex, or even completely impossible to deploy, if mobile data providers are considered. Moreover, the demand for high network throughput poses extra requirements on the network. Considering this context, this paper addresses the problem of highly mobile networks composed of unmanned aerial vehicles (UAVs) as data providers of a military surveillance system. The proposed approach to tackle the problem is based on a Software Defined Networking (SDN) approach aiming at providing the best routes to deliver the data, enhancing the end-user quality of experience. An extensive experimental campaign was performed by means of simulations and the acquired results provide solid evidence of the usefulness of this proposal.


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