Matching Items (6)

How does the streaming of esports affect business, viewership, and its longevity

Description

Esports streaming has become an entertainment giant and promises to continue to grow in the coming years. Streaming platforms, such as Twitch and Youtube, have become a haven for community

Esports streaming has become an entertainment giant and promises to continue to grow in the coming years. Streaming platforms, such as Twitch and Youtube, have become a haven for community and competition, blending the two into a novel form of interaction that fuels business. This study will analyze how the streaming of esports has influenced business in the technological realm of electronic games and contributed to the field’s longevity. It questions how we, as a society, view community in the online world which itself has become a site for the expansion of how people interact. The study also incorporates the idea of business into the market of technological electronic game-based communities and how competition through esports has also been a fuel for both. Through literature analysis and data collection, the goal of this research would be to increase knowledge on the understanding of streaming esports and help predict what foundation it might take as a whole later on.

Contributors

Agent

Created

Date Created
  • 2020-05

133377-Thumbnail Image.png

Socially Mediated Stranger Things: Audiences Cultures and Full-Season Releases

Description

Television is currently in a changing state. There is no longer a singular broadcast format for series to follow. Streaming websites such as Netflix, Hulu, and Amazon Prime now release

Television is currently in a changing state. There is no longer a singular broadcast format for series to follow. Streaming websites such as Netflix, Hulu, and Amazon Prime now release series in their entirety; this is known as a full-season release (FSR). Viewers are now able to act independently and determine the pace they wish to watch a new FSR series. This not only affects how fans engage in social television discussions on social media, but also changes the previously proposed viewer engagement model. Whereas previous research suggests that fans follow a static linear engagement model consisting of pre-communication, parallel communication, and post communication phases, fans are now able to move freely through viewer engagement phases. This creates a new type of engagement model: The Atomized Engagement Model. As fans move freely through the atomized engagement phases, they choose social media platforms to engage in fandom discussion. Research suggests that although there are distinct types of posts that occur in relation to social television discussions, the platforms used have a direct effect on the content and length of the post.

Contributors

Created

Date Created
  • 2018-05

131299-Thumbnail Image.png

An Analysis of Esports Economics

Description

The esports scene has been constantly evolving ever since its inception in the early
1970s, growing from small arcade based tournaments to the multibillion dollar industry that can

The esports scene has been constantly evolving ever since its inception in the early
1970s, growing from small arcade based tournaments to the multibillion dollar industry that can
be observed today (Bountie Gaming, 2018). In fact, the term esports was not widely used until
the early 2000s, decades after the first gaming tournaments had taken place. Decades prior, the earliest large-scale gaming tournament was hosted by Atari in 1980 for the game ​Space Invaders ​ . While still primitive by today’s standards, games such as ​Space Invaders ​ inspired fierce competition and effectively laid the foundation for what would grow into the booming industry
that we see today (Edwards, 2013).

Contributors

Agent

Created

Date Created
  • 2020-05

147956-Thumbnail Image.png

Spotify Streaming Controversies: Royalty Payout Issues, Licensing, and Solutions

Description

Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have

Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income has come to a halt for musicians and the live entertainment industry. <br/>Under the current per-stream model, it is becoming exceedingly hard for artists to make a living off of streams. This forces artists to tour heavily as well as cut corners to create what is essentially “disposable art”. Rapidly releasing multiple projects a year has become the norm for many modern artists. This paper will examine the licensing framework, royalty payout issues, and propose a solution.

Contributors

Agent

Created

Date Created
  • 2021-05

136454-Thumbnail Image.png

Music Streaming Services: A Study on Millennials' Listening Habits and the Future of the Music Industry

Description

The business models of the music industry are currently experiencing rapid changes. Services such as Spotify, SoundCloud, and Pandora offer methods of consuming music unlike any the industry has seen

The business models of the music industry are currently experiencing rapid changes. Services such as Spotify, SoundCloud, and Pandora offer methods of consuming music unlike any the industry has seen before. Consumers have shifted from wanting products (digital music and CDs) to using streaming services (Spotify, Pandora, etc.). This study analyzes the motivation for these changes and considers why people choose the avenues by which they experience music.

Contributors

Agent

Created

Date Created
  • 2015-05

152997-Thumbnail Image.png

StreamWorks: an energy-efficient embedded co-processor for stream computing

Description

Stream processing has emerged as an important model of computation especially in the context of multimedia and communication sub-systems of embedded System-on-Chip (SoC) architectures. The dataflow nature of streaming applications

Stream processing has emerged as an important model of computation especially in the context of multimedia and communication sub-systems of embedded System-on-Chip (SoC) architectures. The dataflow nature of streaming applications allows them to be most naturally expressed as a set of kernels iteratively operating on continuous streams of data. The kernels are computationally intensive and are mainly characterized by real-time constraints that demand high throughput and data bandwidth with limited global data reuse. Conventional architectures fail to meet these demands due to their poorly matched execution models and the overheads associated with instruction and data movements.

This work presents StreamWorks, a multi-core embedded architecture for energy-efficient stream computing. The basic processing element in the StreamWorks architecture is the StreamEngine (SE) which is responsible for iteratively executing a stream kernel. SE introduces an instruction locking mechanism that exploits the iterative nature of the kernels and enables fine-grain instruction reuse. Each instruction in a SE is locked to a Reservation Station (RS) and revitalizes itself after execution; thus never retiring from the RS. The entire kernel is hosted in RS Banks (RSBs) close to functional units for energy-efficient instruction delivery. The dataflow semantics of stream kernels are captured by a context-aware dataflow execution mode that efficiently exploits the Instruction Level Parallelism (ILP) and Data-level parallelism (DLP) within stream kernels.

Multiple SEs are grouped together to form a StreamCluster (SC) that communicate via a local interconnect. A novel software FIFO virtualization technique with split-join functionality is proposed for efficient and scalable stream communication across SEs. The proposed communication mechanism exploits the Task-level parallelism (TLP) of the stream application. The performance and scalability of the communication mechanism is evaluated against the existing data movement schemes for scratchpad based multi-core architectures. Further, overlay schemes and architectural support are proposed that allow hosting any number of kernels on the StreamWorks architecture. The proposed oevrlay schemes for code management supports kernel(context) switching for the most common use cases and can be adapted for any multi-core architecture that use software managed local memories.

The performance and energy-efficiency of the StreamWorks architecture is evaluated for stream kernel and application benchmarks by implementing the architecture in 45nm TSMC and comparison with a low power RISC core and a contemporary accelerator.

Contributors

Agent

Created

Date Created
  • 2014