YouTube Analysis Essay

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INTRODUCTION Over the past few years the way in which money can be made has changed drastically. Many things such as banking, shopping and even business deals have become digitalised. All commercial transactions that take place online are what represent e-commerce. Within the e-commerce industry constantly new ways to generate money are being created. Currently one of the most popular ways to make money is through the video sharing website YouTube. This essay will discuss the history of YouTube, the infrastructure of the site, take a look at the commercial aspect of the site regarding the partner program and look at the way businesses are using the site productively. Lastly it will mention what is to be expected in the future and why this…show more content…
The videos can be anything that the user wants to post and anyone can freely view it from anywhere in the world (Perez & Marcus, 2010). The site is not just a video site but it became a social site as well (Wattenhofer, Wattenhofer, & Zhu, 2011). Every user has their own channel where they can upload videos to share. If people like their videos they can subscribe to their channel. This means whenever that user uploads a video, they are notified. People could rate and leave comments on the videos as well. It was recorded in 2012 that 3 billion views are generated every day and over 48 hours of video content is uploaded every minute (Wattenhofer, Wattenhofer, & Zhu, 2011). With such large volumes of content the infrastructure of the site is vital to the site’s success. INFRASTRUCTURE OF YOUTUBE BASIC INFRASTRUCTURE The site has to be structured in such a way that it is able to accommodate many users on the site simultaneously. Unfortunately the specifics on the architecture, the location of the infrastructure and the operation of the site are not public information. For this reason researchers have made assumptions about the site’s infrastructure (Dimopoulos, 2012). Their assumptions are that there is a “load balancing mechanism that redirects YouTube users to preferred video servers in order to achieve a more uniform load distribution in the system,” (Dimopoulos, 2012). In essence to avoid the
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