YouTube depend on parent company Google’s data center and network servers’s powerful cloud computing infrastructure to reduce the time the user released the video online.
YouTube engineers have been trying to solve the delay problem by multi-way and parallel processing technology and other means of improving the speed of computer processing upload videos. YouTube engineers Vijnan Shastri explained that the engineers decided to break for a large number of video clips, hundreds of thousands of computers to distribute processing tasks, the last video clip and then re-stitching.
Shastri  said: “We decided to  concerned about a large number of computers play a role in the same time, rather than improve the efficiency of a single computer, this is a very calm decision and we made it. Of course, this decision is only possible because of Google cloud computing facilities for usr povide a huge support. ”
Benefit from these enhanced measures, particularly within the Hydra project, Google, YouTube video uploads taking less than a minute to complete is 60%; video processing speed is 7 times in 2008, is 4 times half a year ago.
YouTube spokesman Chris Dale, said the company aims to reduce the delay time in seconds, rather than in minutes. First to reduce user frustration, and second, to reduce overall operating costs. Dell said: “The cost-cutting is not the same as money. To us, delays, cost and efficiency are equally important.”
With the shooting and uploading video to the growing popularity of the device, upload the video – especially HD video YouTube has become a pressing problem to be solved. YouTube said that the current uploaded every minute 35 hours of video, of which 20% of high-definition video, in 2008 the figure was only 3%.

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