Distributed video processing system on cloud servers
Duong, Quoc Quan (2016)
Duong, Quoc Quan
Metropolia Ammattikorkeakoulu
2016
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2016112016581
https://urn.fi/URN:NBN:fi:amk-2016112016581
Tiivistelmä
With the rapid growth of the internet, connecting with other people has never been so easy. Every second, millions of information snippets are transmitted through the internet, which contains huge amounts of image, audio, and video. To handle large amounts of data, it requires a complex system and powerful hardware.
Big companies such as Facebook and YouTube are applying their own solutions to handle many video files daily. The purpose of this study is to provide a solution to build a distributed video processing system on cloud environment.
With the help of cloud computing and many tools available such as NodeJS, FFmpeg, Amazon web services, this study will provide a complete solution to develop a distributed processing system. Moreover, the aim is that achieving a solution for secure video processing which is high performance and easy to scale.
The purpose of this study is to set up a common approach for processing media files as well as handling a large number of tasks for servers. This study not only used for the research purposes but also can be applied directly to production.
Big companies such as Facebook and YouTube are applying their own solutions to handle many video files daily. The purpose of this study is to provide a solution to build a distributed video processing system on cloud environment.
With the help of cloud computing and many tools available such as NodeJS, FFmpeg, Amazon web services, this study will provide a complete solution to develop a distributed processing system. Moreover, the aim is that achieving a solution for secure video processing which is high performance and easy to scale.
The purpose of this study is to set up a common approach for processing media files as well as handling a large number of tasks for servers. This study not only used for the research purposes but also can be applied directly to production.