Let's predict the future of social television.

Throughout the discussion of the rationality of social television, one question has been overlooked: how did social television come about? Why is it that most social television experiences are related to Twitter?

The answer to this question involves a new concept: "Real-time Big data", which means that real-time mass information is selected, uploaded, processed, and propagated.

Over the past 80 years, television has been a one-way way of broadcasting information. But the starting point for social television is to connect the audience to others (including advertisers and programmers). Television will also slowly be no longer a one-way media.

This social-television pattern seems to be an impossible rejection. However, in practice, how to deal with the potential for a large number of data transmission load? Like the congestion at Thanksgiving Airport, the problem for social TV operators is the same. From this point of view, how many users a social TV can get per month is far less important than how many users per minute.

It is easy to estimate how many viewers can be assembled by television. The number of viewers who play "big Bang germ" can fill 3 Yankee stadiums (not to mention grand tournaments like Super Bowl).

In the past, television had used a caching service such as Akamai to handle information inflation during peak viewing, but the caching service was not able to cope with some of the TV programs that frequently updated content. If you want to keep your audience firmly in front of the television and participate in the program--click, vote and Comment--then the problem comes.

So why not give this real-time information to Facebook and Twitter? In fact, television shows are already doing so. Aside from apps like GetGlue, we know that the 2012 social TV has been significantly Twitter-driven. A growing number of derivative products on the concept were born in 2010, when the MTV Music Television Awards were added to the Twitter tracker. In fact, Twitter itself has joined the trend-for example, to help NBC live the Olympics, and Twitter is increasingly involved in big events.

But social television must go faster than Facebook and Twitter for two reasons:

First, in order to meet the audience's need to watch and remain competitive, social television applications must be stronger, more alienated, more closely related to the content of the program, more entertaining, more creative, and the key is to better convey what the television program itself has to show.

Second, because social television has a stronger ability to integrate information than traditional television, social networking may not be a partner, but rather as a competitor than in the past. There is a big risk: who will eventually get more market share? For now, Twitter and Facebook seem to have more insight into television viewers ' preferences than the TV practitioners themselves. The app makers need to explore further how to unlock the potential energy of social television and maintain its independence.

The future of social television is worth looking forward to, for two reasons, which have risen in recent years:

First, with cloud computing, engineers do not need to install a physical server in a database to be able to configure the service load at ease; The flaw is that if the server is not threaded, cloud computing will not be useful. Fortunately, the new database implements a technology called "NoSQL", which allows for a balanced allocation of data between multiple servers. Combined with cloud computing, the NoSQL database can handle massive amounts of data without limits.

Second, and most conservatively, it is no longer a dream to build at least one real-time interactive system that allows millions of users to access simultaneously. That's a big deal. When the technical aspects of the problem have been solved, where will the brilliant product managers take the social TV?

"Edit Recommendation"

How to use cloud computing technology innovation to bring real business benefit survey: report of 179 CIO in Australia the relationship between virtualization and private cloud computing the flat model provides the best security option for cloud computing. Executive Editor: Xiao Yun TEL: (010) 68476606 "