# Towards a New Business Model for Streaming Platforms Using Blockchain Technology
## 2 Related Work
### Blockchain Technology Applied in Streaming Platforms  
Our state-of-the-art analysis identified several studies that proposed computational solutions for the digital entertainment ecosystem using blockchain technology. Among the research identified, we noticed that the business models of video and music streaming platforms have demanded the attention of academia and the software industry in the search for solutions that optimize users' day-to-day operational issues and improve the computational aspects of software applications [16].  
There have been several proposals for architectural models for storing videos based on edge computing [17] and storage models that use data transfer protocols in peer-to-peer networks [11; 18]. In Ref. [19], a decentralized storage approach is proposed in which the videos manipulated in the computational solution developed are stored in a blockchain network. Ref. [20] develops a decentralized blockchain-based solution for delivering and paying for digital assets such as books, photos, and videos. According to the authors, the main objective of digital asset management is to remove the intermediaries that make up the problem domain addressed from the business model. Similarly, Ref. [21] proposes a computational platform to facilitate direct payments between creators and consumers, verify identities securely, and promote the decentralization of the digital content market by offering a new approach to user interaction and content distribution.  
Data storage processed by streaming software applications is an important research area. Several studies have focused on finding solutions that optimize transaction processing and computational resources [22; 23]. In this sense, Ref. [11] specifies a data persistence method in which only the hash that identifies the video is stored on the blockchain network. We found research on data storage that compared the decentralized storage model using blockchain technology with the conventional storage used by streaming platforms on the market. In this respect, Ref. [24] evaluated the performance of a software application based on blockchain technology and indicated that although the latency in loading videos was higher than the conventional application, the result of using blockchain in video platforms is promising.  
Still, we have identified computational solutions in video streaming platforms that combine blockchain technology with other computational techniques. In Ref. [25], the authors use machine learning to monitor data transactions and analyze correlations in video content through text and speech analysis. Neural networks are used in Ref. [26] to improve the delivery of content to end users, and in Ref. [27], a video platform with file sharing and a virtual currency reward system is proposed for web environments.  
Moving on in our analysis of the studies that looked at music streaming platforms, we identified a central issue that addresses the monetization of artists. Ref. [28] proposes a blockchain-based application to pay royalties to the stakeholders involved in the problem domain addressed. Similarly, Ref. [29] develops a computational platform where the artist defines the monetization rules and values, and through blockchain technology, payments are made. Finally, the computational solution developed in Ref. [14] allows users to pay royalties for the music they listen to directly to the artists. At the same time, in Ref. [30], an application based on smart contracts manages the distribution of copyright to the artists who write the music.