Storage Optimization

In Startup City’s spotlight

Posted in Featured,Storage,Video by storageoptimization on July 21, 2008
Tags: ,

I was interviewed on video by John Foley for InformationWeek’s Startup City a month or so ago, and have just discovered that the video is now up on the site. If you haven’t already, I encourage you to explore this blog. Foley does a great job of covering the vast and growing landscape of IT startups. Enjoy.


What to do about the coming video explosion

Posted in Analyst,Storage,Video by storageoptimization on June 4, 2008

Pete Steege’s Storage Effect is commenting today on an ABI report that highlights the explosion of video content on the web, which expected to increase to one billion viewers by 2013. Steege’s response is that the report ignores the “digital home,” which will no doubt become ubiquitous in the coming years.

I agree, and would add that there are still other things driving video storage growth as well, such as a drastic increase in the number of video surveillance cameras and their resolution. But mainly, what I see is that the storage problem itself could actually be solved to a great extent with the proper optimization. For video, since video files are already compressed for transmission, the proper storage optimization has to include both video-specific recompression and video-specific deduplication.

For video on the internet, you have two related but different problems. One is to store the vast amount of content that is being generated. The second is provide the bandwidth needed for high-definition viewing of hot content.    

Most video content is not hot. People upload thousands of hours of video per day to popular sites like YouTube, but only a small fraction of that gets wide viewership. It all needs to be stored, but the key thing for most of it is to store it cheaply. That’s going to mean not just cheap disks, but video-specific storage optimization that greatly reduces the size of the video files.     

The relatively few videos (meaning, a couple hundred a day) that do become popular won’t be so aggressively compressed, or they’ll be compressed for bandwidth rather than for storage optimization. That is, solving the speed problem for the hot stuff that everyone is watching is easy – it will be replicated and cached, and people will get access to their hot shows and user-contributed videos.  Solving the “store 900 Petabytes of user-generated video really cheaply” problem is not so easy to solve.

Another major optimization of video storage is that most videos that most people want access to is duplicated across many homes. Today, a blockbuster movie, a hit TV show, a TiVo of the big game – these are all stored hundreds of thousands of times across millions of households.    

As video storage moves to cloud storage services, a lot of that can be deduplicated. For entire licensed content (e.g., a studio movie) that’s relatively easy – you’d say, here are 10,000,000 users uploading their copy of the Lion King…let’s just save one.  But to get real optimization, cloud storage providers are going to want to be able to find and compress video at finer granularity than that.  Let’s say there’s a football game broadcast on ABC in some markets, and carried by ESPN (with different commercials) in another market.  User A records it in standard def.  User B records it in high def.  The user in Atlanta records it from ABC.  The user in Portland records in from ESPN. To be efficient, you’ll want storage optimization that recognizes that those users are all uploading versions of the same thing, and takes out the redundant information as part of the compression / deduplication process.   

Without aggressive storage optimization – including video-specific compression and dedupe – the explosive growth of video content is going to overwhelm storage capability.