Archiving Digital History at the NARA
val1s writes "This article illustrates how difficult archiving is vs. just 'backing up' data. From the 38 million email messages created by the Clinton administration to proprietary data sets created by NASA, the National Archives and Records Administration is expecting to have as much a 347 petabytes to deal with by 2022. Are we destined for a "digital dark age"?"
Perhaps, the answer is compression.
Does anyone know whether there is an upper limit to text compression?
In signal processing, there is a limit called the Shannon Capacity theorem, which gives the maximum amount of information that can be transmitted on a channel. In text compression, is there a similar limit?
Note that the Shannon Capacity theorem does not tell you how to reach that limit. The theorem merely tells you what the limit is. For decades, we knew that maximum limit on a normal telephone twisted pair is about 56,000 bits per second, according to the theorem. However, we did not know how to reach it until Trellis coding was discovered, according to an electronic communications colleague at the institute where I work.
If we can calculate a similar limit for text compression, then we can know whether further research to find better text compression algorithms would be potentially fruitful. If we are already at the limit, then we should spend the money on finding denser storage media.