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Journal articles on the topic 'On-demand streaming'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Kumar, Satinder, and Nazia Taneja. "What stimulates users to demand on demand streaming." International Journal of Applied Systemic Studies 1, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijass.2023.10055259.

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2

Kumar, Satinder, and Nazia Taneja. "What stimulates users to demand 'on demand streaming'." International Journal of Applied Systemic Studies 10, no. 4 (2023): 296–314. http://dx.doi.org/10.1504/ijass.2023.135720.

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3

Badics, Joe. "Broadway on Demand." Charleston Advisor 25, no. 3 (2024): 10–11. http://dx.doi.org/10.5260/chara.25.3.07.

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Alexander Street’s Broadway on Demand collection presents a varied package of streaming videos about the theater world. It includes a selection of full plays and musicals, as well as interviews, documentaries, podcasts, and other shows that aim to capture the aura of the theater experience.

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4

Kuang, Guo Fang, Xiao Hui Li, and Chao Li. "Algorithm of Video on Demand Scheduling by Protocol of Video on Demand and Multimedia Encoding Technology." Advanced Materials Research 1022 (August 2014): 316–20. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.316.

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This paper first analyzes the protocol used in video on demand system function, using method. Then this paper introduces the coding technology, according to the characteristics of streaming media network transmission, points out the case for network transmission code. This paper introduces the influence of patching algorithm, greedy algorithm, elegant patch algorithm and cycle algorithm on streaming media height algorithm. The paper presents research on algorithm of video on demand scheduling by protocol of video on demand and multimedia encoding technology.

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5

Lewis, Ryan Hardesty, and Alex Conway. "Streaming the Future of Sustainability." ACM SIGEnergy Energy Informatics Review 4, no. 5 (2024): 166–71. https://doi.org/10.1145/3727200.3727225.

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The rapid growth of digital video traffic presents both challenges and opportunities for sustainable content delivery. We argue that the shift towards on-demand streaming, exemplified by services like Netflix, provides a path to significantly reduce the carbon footprint and e-waste associated with traditional computing paradigms. By eliminating the need for local operating systems, enabling more efficient edge devices, and leveraging renewable-powered cloud infrastructure, streaming on-demand hardware and content can drive down energy use and embodied emissions. We analyze the key factors behi

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6

Zhao, Yanping, Derek L. Eager, and Mary K. Vernon. "Scalable On-Demand Streaming of Nonlinear Media." IEEE/ACM Transactions on Networking 15, no. 5 (2007): 1149–62. http://dx.doi.org/10.1109/tnet.2007.896534.

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7

Parvez, K. N., C. Williamson, A. Mahanti, and N. Carlsson. "Insights on Media Streaming Progress Using BitTorrent-Like Protocols for On-Demand Streaming." IEEE/ACM Transactions on Networking 20, no. 3 (2012): 637–50. http://dx.doi.org/10.1109/tnet.2011.2166087.

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8

Meisyanti, Meisyanti, and Woro Harkandi Kencana. "PLATFORM DIGITAL SIARAN SUARA BERBASIS ON DEMAND." Commed : Jurnal Komunikasi dan Media 4, no. 2 (2020): 191. http://dx.doi.org/10.33884/commed.v4i2.1547.

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Perkembangan teknologi dan internet mengakibatkan semakin mudahnya masyarakat untuk mengakses media yang sesuai dengan kebutuhan dan kemauan mereka. Hal ini juga memengaruhi dalam memproduksi konten siaran suara, salah satu bentuk siaran suara adalah podcast. Saat ini podcast mengalami perkembangan pesat. Di Indonesia sendiri, podcast banyak diproduksi oleh para kreator secara individu bahkan media massa di Indonesia juga turut membuat podcast. Karakteristik yang dimiliki podcast sama seperti yang dimiliki oleh radio, bedanya adalah podcast berbasis on demand atau sesuai dengan kebutuhan pende

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9

Ismail, Lizah. "Films on Demand Master Academic Video Collection." Charleston Advisor 21, no. 4 (2020): 27–30. http://dx.doi.org/10.5260/chara.21.4.27.

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Streaming media has reached a ubiquitous threshold, easily accessible in a variety of platforms for the general consumer in pursuit of entertainment. Streaming media in the educational context is not far behind. Films on Demand Master Academic Collection (FODMAC), an Infobase product (<<ext-link ext-link-type="uri" xlink:href="https://www.infobase.com/">https://www.infobase.com/</ext-link>>), is a popular option for many academic institutions. FODMAC’s content partners include many highly acclaimed and award- winning content producers such as PBS, BBC, TED, Bill Moyers, ABC,

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10

Gazdar, Achraf, Lotfi Hidri, Belgacem Ben Youssef, and Meriam Kefi. "Minimizing the In-Cloud Bandwidth for On-Demand Reactive and Proactive Streaming Applications." Applied Sciences 11, no. 23 (2021): 11267. http://dx.doi.org/10.3390/app112311267.

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Video streaming services are one of the most resource-consuming applications on the Internet. Thus, minimizing the consumed resources at runtime in general and the server/network bandwidth in particular are still challenging for researchers. Currently, most streaming techniques used on the Internet open one stream per client request, which makes the consumed bandwidth increases linearly. Hence, many broadcasting/streaming protocols have been proposed in the literature to minimize the streaming bandwidth. These protocols can be divided into two main categories, namely, reactive and proactive br

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11

Hadi, Chairul, Dedy Zebua, and Tri Yulistyarani. "Fitur Video on Demand sebagai Program Kampanye Public Relations Aplikasi RCTI+." Jurnal Ilmiah Komunikasi (JIKOM) STIKOM IMA 14, no. 01 (2022): 1. http://dx.doi.org/10.38041/jikom1.v14i01.230.

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Rcti+ merupakan anak perusahaan yang bergerak dibidang streaming digital yang berada dibawah naungan MNC Group yang berkantor pusat di Mnc Studios Kebon Jeruk, Jakarta Barat. Sebagai bentuk kampanye public relations dan upaya mensosialisasikan Aplikasi Streaming Digital Rcti+ menawarkan Fitur Video On Demand sebagai sarana pemilihan tayangan sesuai peminatan. Penelitian ini dilakukan untuk mencari tahu bagaimana Strategi Kampanye Public Relations Aplikasi Rcti+ Dalam Mensosialisasikan Aplikasi Streaming Digital melalui Fitur Video On Demand. Jenis penelitian yang penulis lakukan adalah deskrip

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12

Hadi, Chairul, Dedy Zebua, and Tri Yulistyarani. "Fitur Video on Demand sebagai Program Kampanye Public Relations Aplikasi RCTI+." Jurnal Ilmiah Komunikasi (JIKOM) STIKOM IMA 14, no. 01 (2022): 1. https://doi.org/10.33221/jikom1.v14i01.230.

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Rcti+ merupakan anak perusahaan yang bergerak dibidang streaming digital yang berada dibawah naungan MNC Group yang berkantor pusat di Mnc Studios Kebon Jeruk, Jakarta Barat. Sebagai bentuk kampanye public relations dan upaya mensosialisasikan Aplikasi Streaming Digital Rcti+ menawarkan Fitur Video On Demand sebagai sarana pemilihan tayangan sesuai peminatan. Penelitian ini dilakukan untuk mencari tahu bagaimana Strategi Kampanye Public Relations Aplikasi Rcti+ Dalam Mensosialisasikan Aplikasi Streaming Digital melalui Fitur Video On Demand. Jenis penelitian yang penulis lakukan adalah deskrip

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13

Sousa, Rubenilson de, Leonardo Cristian, Leonel Feitosa, et al. "Performability Evaluation and Sensitivity Analysis of a Video Streaming on Demand Architecture." Applied Sciences 13, no. 2 (2023): 998. http://dx.doi.org/10.3390/app13020998.

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In urban air mobility (UAM), video streaming platforms have gained significant attention from media companies due to their growing necessity for on-demand video streaming services-as-you-go in flights. Video streaming services can provide constant data transactions in a huge amount, especially in its operational digital twin (ODT). As a result, the ability to provide a satisfactory user experience through video streaming platforms is critical and complex. This requires continuously operating services while handling numerous user requests for near real-time video streaming. At the same time, hi

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14

Sharman, Raj, Shiva Shankar Ramanna, Ram Ramesh, and Ram Gopal. "Cache architecture for on-demand streaming on the Web." ACM Transactions on the Web 1, no. 3 (2007): 13. http://dx.doi.org/10.1145/1281480.1281483.

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15

Eginger, Michael. "Die grenzüberschreitende Portabilität von On-Demand-Streaming-Diensten." Zeitschrift für geistiges Eigentum 12, no. 3 (2020): 329. http://dx.doi.org/10.1628/zge-2020-0016.

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16

Zhao, Yanping, Derek L. Eager, and Mary K. Vernon. "Network Bandwidth Requirements for Scalable On-Demand Streaming." IEEE/ACM Transactions on Networking 15, no. 4 (2007): 878–91. http://dx.doi.org/10.1109/tnet.2007.893886.

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17

Gill, Phillipa, Liqi Shi, Anirban Mahanti, Zongpeng Li, and Derek L. Eager. "Scalable on-demand media streaming for heterogeneous clients." ACM Transactions on Multimedia Computing, Communications, and Applications 5, no. 1 (2008): 1–24. http://dx.doi.org/10.1145/1404880.1404888.

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18

Liang, Chao, Zhenghua Fu, Yong Liu, and Chai Wah Wu. "Incentivized Peer-Assisted Streaming for On-Demand Services." IEEE Transactions on Parallel and Distributed Systems 21, no. 9 (2010): 1354–67. http://dx.doi.org/10.1109/tpds.2009.167.

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19

Hilderbrand, Lucas. "The Art of Distribution: Video on Demand." Film Quarterly 64, no. 2 (2010): 24–28. http://dx.doi.org/10.1525/fq.2010.64.2.24.

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An account of the rise of Video on Demand as a method of distribution for arthouse and independent films, focusing on the IFC Films and Magnolia Pictures companies, and charting the growing success of streaming video as opposed to DVD and theatrical releasing.

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20

Febri Kurniati, Dwi, and Ginanjar Rahmawan. "Faktor-Faktor yang Mempengaruhi Minat Berlangganan Music On Demand (Spotify)." Jurnal Sosial Sains 2, no. 5 (2022): 586–95. http://dx.doi.org/10.36418/sosains.v2i5.395.

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Latar Belakang: Pandemi Covid-19 yang mulai mewabah sejak awal 2020 menjadi pukulan keras bagi industri hiburan dunia, termasuk sektor musik. Sebab para musisi, promotor, dan agensi membatalkan tur dan seluruh performa secara langsung. Tujuan : Penelitian ini bertujuan untuk memahami pengaruh citra merek, variasi produk, motivasi terhadap minat membeli layanan streaming musik spotify. Metode: Penelitian ini menggunakan metode kuantitatif. Populasi yang dipergunakan ialah masyarakat di Banjarnegara dan sekitarnya. Ukuran sampel sebesar 100 responden dengan mempergunakan non purposive sampling.

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21

Febri Kurniyati, Dwi, and Ginanjar Rahmawan. "Faktor-Faktor yang Mempengaruhi Minat Berlangganan Music On Demand (Spotify)." Jurnal Sosial Sains 2, no. 5 (2022): 586–95. http://dx.doi.org/10.59188/jurnalsosains.v2i5.395.

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Latar Belakang: Pandemi Covid-19 yang mulai mewabah sejak awal 2020 menjadi pukulan keras bagi industri hiburan dunia, termasuk sektor musik. Sebab para musisi, promotor, dan agensi membatalkan tur dan seluruh performa secara langsung. Tujuan : Penelitian ini bertujuan untuk memahami pengaruh citra merek, variasi produk, motivasi terhadap minat membeli layanan streaming musik spotify. Metode: Penelitian ini menggunakan metode kuantitatif. Populasi yang dipergunakan ialah masyarakat di Banjarnegara dan sekitarnya. Ukuran sampel sebesar 100 responden dengan mempergunakan non purposive sampling.

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22

Blakeley, Ryan. "“The Part of the Music Industry That God Forgot”." Journal of Popular Music Studies 36, no. 2 (2024): 28–51. http://dx.doi.org/10.1525/jpms.2024.36.2.28.

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In October 2020, the B2B (business-to-business) background music company Soundtrack Your Brand—formerly Spotify Business—launched the world’s first full-catalog on-demand streaming service for background music. Although background music providers have licensed, curated, and distributed music to businesses for nearly a century, they have only recently started embracing the new possibilities of streaming. Now, streaming is rapidly influencing the background music industry’s features, music selection practices, and economics. While scholars in music and media studies have extensively studied B2C

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23

R, Venkatraman, and Ramesh Ragala. "A SURVEY ON CHURN ANALYSIS AND PREDICTION IN VIDEO ON DEMAND." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 158. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19603.

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Consumer loyalty is a key measure of achievement. Despondent clients will not be staying around the service. When there are unhappy clients once in a while voice their disappointment before leaving. Streaming administration, motion pictures, and television shows are gushing over the internet, not being downloaded, so we should be associated with the internet all through your watch instantly experience. Hence, to help them recognize to “disappointed clients” from the get-go in their relationship. Doing as such would permit streaming administration to find a way to enhance “client’s joy” before

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24

Saketh Reddy Cheruku, Om Goel, and Pandi Kirupa Gopalakrishna Pandian. "Performance Testing Techniques for Live TV Streaming on STBs." Modern Dynamics: Mathematical Progressions 1, no. 2 (2024): 131–43. http://dx.doi.org/10.36676/mdmp.v1.i2.16.

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In the realm of live TV streaming, performance testing is critical to ensure seamless delivery and optimal user experience on Set-Top Boxes (STBs). This paper presents a comprehensive exploration of performance testing techniques tailored for live TV streaming on STBs, focusing on methodologies, challenges, and best practices. With the growing demand for high-quality, uninterrupted live TV content, effective performance testing becomes imperative to address issues related to latency, buffering, and overall system reliability. The study begins with an overview of the unique performance challeng

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25

Patel, Ujas, Sudeep Tanwar, and Anuja Nair. "Performance Analysis of Video On-demand and Live Video Streaming using Cloud based Services." Scalable Computing: Practice and Experience 21, no. 3 (2020): 479–96. http://dx.doi.org/10.12694/scpe.v21i3.1764.

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The advent of Cyber-Physical Systems (CPS) has brought a revolutionary change coined as a mixture of information, communication, computation, and control. With applications in smart grid, health monitoring, automatic avionics, distributed robotics, etc., CPS is currently an area of attention among the academia and industry. The advancement of mobile communications and embedded technology has made it possible to build large scale CPS consisting of the interconnection of mobile phones. These devices collect information about the surrounding environment at any time anywhere basis through real-tim

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26

Quinlan, Jason. "TV on the move: How the growth in Internet streaming influences the video quality on your mobile device." Boolean: Snapshots of Doctoral Research at University College Cork, no. 2014 (January 1, 2014): 159–63. http://dx.doi.org/10.33178/boolean.2014.32.

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Every day, millions of people logon to the Internet to view their favorite TV show on Netflix, or similar streaming services, or to watch the latest viral video on YouTube. Two things are paramount, 1) that they receive the best streaming quality available, and 2) the video starts to play as quickly as possible. There is nothing worse than a video that stops and starts, takes forever to view or constantly changes between viewable qualities (resolutions). Due to our limited download speeds (bandwidth), in most houses it is not uncommon to hear “Stop downloading, I’m trying to watch something on

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27

T. T. TRAN, Huyen, Hung T. LE, Nam PHAM NGOC, Anh T. PHAM, and Truong Cong THANG. "Quality Improvement for Video On-Demand Streaming over HTTP." IEICE Transactions on Information and Systems E100.D, no. 1 (2017): 61–64. http://dx.doi.org/10.1587/transinf.2016mul0005.

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28

Ding, Yong, Yang Yang, and Li Xiao. "Multisource Video On-Demand Streaming in Wireless Mesh Networks." IEEE/ACM Transactions on Networking 20, no. 6 (2012): 1800–1813. http://dx.doi.org/10.1109/tnet.2012.2188642.

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29

Wong, Ying Wai, Jack Y. B. Lee, Victor O. K. Li, and Gary S. H. Chan. "Supporting Interactive Video-on-Demand With Adaptive Multicast Streaming." IEEE Transactions on Circuits and Systems for Video Technology 17, no. 2 (2007): 129–42. http://dx.doi.org/10.1109/tcsvt.2006.888839.

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30

Mahanti, A., D. L. Eager, M. K. Vernon, and D. J. Sundaram-Stukel. "Scalable on-demand media streaming with packet loss recovery." IEEE/ACM Transactions on Networking 11, no. 2 (2003): 195–209. http://dx.doi.org/10.1109/tnet.2003.810311.

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31

Claeys, Maxim, Niels Bouten, Danny De Vleeschauwer, Werner Van Leekwijck, Steven Latre, and Filip De Turck. "Cooperative Announcement-Based Caching for Video-on-Demand Streaming." IEEE Transactions on Network and Service Management 13, no. 2 (2016): 308–21. http://dx.doi.org/10.1109/tnsm.2016.2546459.

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32

Sarhan, Nabil J., Mohammad A. Alsmirat, and Musab Al-HADRUSI. "Waiting-time prediction in scalable on-demand video streaming." ACM Transactions on Multimedia Computing, Communications, and Applications 6, no. 2 (2010): 1–25. http://dx.doi.org/10.1145/1671962.1671967.

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33

Choi, Joonho, Myungsik Yoo, and Biswanath Mukherjee. "Efficient Video-on-Demand Streaming for Broadband Access Networks." Journal of Optical Communications and Networking 2, no. 1 (2009): 38. http://dx.doi.org/10.1364/jocn.2.000038.

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34

Nikmanzar, Sepideh, Akbar Ghaffarpour Rahbar, and Amin Ebrahimzadeh. "On-Demand Video Streaming Schemes Over Shared-WDM-PONs." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 9 (2013): 1577–88. http://dx.doi.org/10.1109/tcsvt.2013.2254892.

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35

Yong Ding and Li Xiao. "Video On-Demand Streaming in Cognitive Wireless Mesh Networks." IEEE Transactions on Mobile Computing 12, no. 3 (2013): 412–23. http://dx.doi.org/10.1109/tmc.2011.273.

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36

Fortino, Giancarlo, Carlo Mastroianni, and Wilma Russo. "Cooperative control of multicast-based streaming on-demand systems." Future Generation Computer Systems 21, no. 5 (2005): 823–39. http://dx.doi.org/10.1016/j.future.2004.08.002.

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37

Mahanti, Anirban, Derek L. Eager, Mary K. Vernon, and David Sundaram-Stukel. "Scalable on-demand media streaming with packet loss recovery." ACM SIGCOMM Computer Communication Review 31, no. 4 (2001): 97–108. http://dx.doi.org/10.1145/964723.383067.

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38

CORES, F., A. RIPOLL, X. Y. YANG, et al. "IMPROVING BANDWIDTH EFFICIENCY IN DISTRIBUTED VIDEO-ON-DEMAND ARCHITECTURES." Parallel Processing Letters 13, no. 04 (2003): 589–600. http://dx.doi.org/10.1142/s0129626403001537.

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Distributed Video-on-Demand (DVoD) systems are proposed as a solution to the limited streaming capacity and null scalability of centralized systems. In a previous work, we proposed a fully distributed large-scale VoD architecture, called Double P-Tree, which has shown itself to be a good approach to the design of flexible and scalable DVoD systems. In this paper, we present relevant design aspects related to video mapping and traffic balancing in order to improve Double P-Tree architecture performance. Our simulation results demonstrate that these techniques yield a more efficient system and c

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39

Ding, Xuehui, and Rosidah Musa. "Research on the Impact of Social Media Live-Streaming on Consumer Purchasing Behavior and Its Coping Strategies." Proceedings of Business and Economic Studies 7, no. 3 (2024): 188–93. http://dx.doi.org/10.26689/pbes.v7i3.7492.

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Due to the rapid development of network technology and the popularity of live-streaming, more and more businesses and individuals are using live-streaming to promote their products, giving rise to a new marketing model of social media live-streaming. Based on the social media live-streaming market, businesses or enterprises focus on tapping into new consumer demand, and social media live-streaming marketing has gradually expanded into various fields. Based on the SOR theory, this paper discusses how to improve the coping strategies of consumer purchasing behavior through social media live-stre

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40

Karthiga, T. "Cloud Based Video on Demand (VoD) Using DCRP Algorithm." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 107–10. http://dx.doi.org/10.51983/ajcst-2012.1.1.1662.

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The attempt to display media files through internet was started from mid-20th century. Several research works have been reported to provide Video on Demand model in distributed like RMI, SOA and Grid Computing. Internet-based cloud computing is a new computing paradigm aiming to provide agile and scalable resource access in a utility-like fashion. The fundamental question is how to configure the cloud utility to meet the highly dynamic demands of such applications at a modest cost. In this paper, a queueing network based model is used to characterize the viewing behaviors of users in a multich

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41

Webster, Jack. "Music on-demand: A commentary on the changing relationship between music taste, consumption and class in the streaming age." Big Data & Society 6, no. 2 (2019): 205395171988877. http://dx.doi.org/10.1177/2053951719888770.

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From providing on-demand access to vast catalogues of recorded music at little or no cost to the use of Big Data to personalise the experience of consuming music, music streaming platforms, such as Spotify and Apple Music, have the potential to disrupt the part that music taste plays in the performance of class identities and the reproduction of class privilege in ways not previously encountered. The influential sociologist, Pierre Bourdieu , demonstrated that cultural taste – what and how people consume cultural goods, such as music, food and fashion – is shaped by class background and in doi

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42

Li, Yi, Chongli Wang, and Jing Liu. "A Systematic Review of Literature on User Behavior in Video Game Live Streaming." International Journal of Environmental Research and Public Health 17, no. 9 (2020): 3328. http://dx.doi.org/10.3390/ijerph17093328.

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Video game live streaming is a kind of real-time video social media that integrates traditional broadcasting and online gaming. With the rapid popularity of video game live streaming in the past decade, researchers have started to investigate the relationship between the use of video game live streaming and various psychological variables. In order to fully understand the factors that affected user participation (streamers and audiences) in video game live streaming and provide a reference to the mental health issues of Internet addiction, this paper summarizes the relevant literature on user

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43

Bulti, Dinkisa Aga, and Kumudha Raimond. "Optimizing Caching in a Patch Streaming Multimedia-on-Demand System." Journal of Computing Science and Engineering 9, no. 3 (2015): 134–41. http://dx.doi.org/10.5626/jcse.2015.9.3.134.

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44

LIU, Ya-Jie. "A Video-on-Demand Streaming Service Architecture in P2P Environment." Journal of Software 17, no. 4 (2006): 876. http://dx.doi.org/10.1360/jos170876.

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45

Lee, Jun Pyo, Sang Hee Kim, and Young Woo Park. "Temporal pattern recognition based interactive video-on-demand streaming technique." International Journal of Advanced Media and Communication 5, no. 2/3 (2014): 149. http://dx.doi.org/10.1504/ijamc.2014.060502.

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46

Yu, Q., B. Ye, S. Lu, and D. Chen. "Optimal data scheduling for P2P video-on-demand streaming systems." IET Communications 6, no. 12 (2012): 1625. http://dx.doi.org/10.1049/iet-com.2011.0190.

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47

Liu, Fangming, Bo Li, Baochun Li, and Hai Jin. "Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies." IEEE Transactions on Computers 62, no. 2 (2013): 351–61. http://dx.doi.org/10.1109/tc.2011.222.

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48

Al-wesabi, Ola A., and Putra Sumari. "Streaming Management Scheme for Hybrid Storage Video on Demand Server." Advanced Science Letters 22, no. 10 (2016): 2695–99. http://dx.doi.org/10.1166/asl.2016.7019.

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49

Tan, Haonan, Derek L. Eager, and Mary K. Vernon. "Delimiting the range of effectiveness of scalable on-demand streaming." Performance Evaluation 49, no. 1-4 (2002): 387–410. http://dx.doi.org/10.1016/s0166-5316(02)00137-2.

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50

., Amandeep Singh Walia. "LIVE MULTIMEDIA STREAMING AND VIDEO ON DEMAND ISSUES AND CHALLENGES." International Journal of Research in Engineering and Technology 05, no. 02 (2016): 91–96. http://dx.doi.org/10.15623/ijret.2016.0502017.

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