Towards a Crowdsourced Network Measurements Analyzer (CNMA) for the Streaming Service

2021 ◽  
Author(s):  
Lamine Amour ◽  
Abdulhalim Dandoush
Keyword(s):  
Network Measurements ◽  
Streaming Service

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

A Prefetching-based Caching Policy in Streaming Service Systems

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

scholarly journals Factors Affecting the Popularity of Video Content on Live-Streaming Services: Focusing on V Live, the South Korean Live-Streaming Service

2020 ◽  
Vol 12 (5) ◽  
pp. 1784 ◽  
Author(s):  
Minjeong Ham ◽  
Sang Woo Lee
Keyword(s):  
Live Streaming ◽  
Cumulative Number ◽  
Video Content ◽  
Factors Affecting ◽  
South Korean ◽  
Key Characteristics ◽  
Quality Video ◽  
Streaming Service ◽  
High Quality Video ◽  
Production Company

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.

scholarly journals Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Rosangela Maria De Melo ◽  
Maria Clara Bezerra ◽  
Jamilson Dantas ◽  
Rubens Matos ◽  
Ivanildo José De Melo Filho ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cloud Computing ◽  
Hierarchical Modeling ◽  
Video On Demand ◽  
Differential Sensitivity ◽  
Private Cloud ◽  
Streaming Service ◽  
Critical Components ◽  
Modeling Strategy ◽  
Vod Streaming

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.

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