Course Name: Algorithmic Problem Solving
Course Code: 23ECSE309
Name: Akash Nayak
SRN: 01FE21BEC263
University: KLE Technological University, Hubballi-31
Portfolio domain: Youtube
Introduction
YouTube is the world’s largest video-sharing platform and operates on a very complex technological infrastructure. With over 2 billion monthly active users, more than 500 hours of videos are posted to YouTube every minute. Daily views of YouTube Shorts, a feature for short video content, are 15 billion. YouTube launched a $100 million Shorts Fund to entice Creators to experiment with producing short-form videos. Approximately 30,000 hours of video are uploaded to YouTube every hour by artists. Every week, 92% of internet users watch some form of YouTube video. YouTube also has the second-largest search engine in the world. Branded searches make up 52% of the top 100 queries. Leading countries based on YouTube audience size are the US, India, Japan, and Indonesia.
The seamless experience that users and creators enjoy is possible due to a variety of data structures and algorithms working under the hood. These technologies ensure efficient data management, personalized recommendations, optimized streaming, and much more. This portfolio explores the critical role of various data structures and algorithms that can potentially enhance YouTube’s features and functionalities. By examining existing and potential use cases for these technologies, this portfolio aims to provide a comprehensive understanding of their impact on the platform.
Objectives
- Categorize features and underlying technologies of YouTube.
- Identify key algorithms, data structures, or system design techniques currently in use or with potential applications in enhancing YouTube’s features.
- Create a resource that can be used for educational purposes to understand the intersection of data structures, algorithms, and real-world applications in a large-scale platform like YouTube.