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Real World Problem #5 "E-Battlefield"
Any database out in the real world

The problem is information. How to acquire, validate, store, analyze and distribute information within a distributed network. Lots of little pockets of information held by different people with different needs and goals. All points outside the network and random points inside the network must be assumed hostile. Add this to nodes in the network playing a constant game of hide-and-seek, and you have a problem no conventional DBMS can solve. Whether this is a military or corporate battle field the problems are the same.

MPbase has several unique characteristics that make it ideal for this very challenging environment. In a traditional DBMS, the functions listed above (acquire, etc.) are largely separate. Each part of the solution using different methods and tools. With MPbase all of the information handling requires only one tool, MPbase. There is no one-to-one correspondence between features and the required functions. Instead the problems are solved by the way MPbase deals with the information itself.

First, the content addressable memory schema allows for distributed acquisition, validation and analysis. As an example, each field node could contain the data for X hundred yards in any direction. The holder of this node can now add to, or correct, information about this area in the networked knowledge base. Many such overlapping circles of information can exist in a single MPbase without creating any problems.

Second, each MPbase is already made up of many little TCP/IP connected databases. In the phone book demo alone there are over 80,000. Small sets of these databases can live in network-connected laptops, palm tops, or backpacks. These little DBs can be moved around "at will" without confusing MPbase.

Third, encryption can be used at the lowest level of the DB. This after a compression that is a good encryption by itself. Because the search engine works on the compressed buffer directly, "plain text" need never exist outside of the final result set.

Fourth, an MPbase can be configured as a fault-tolerant hierarchy of information. This allows the best available information to be used in all decisions. The best source is a node at the site. The next best, is the node real-time synched at last contact. Next, a local interconnect. Last of all, a system wide interconnect.

With MPbase this real world environment is no problem. The natural information-based clustering found in MPbase makes short work of this information-based problem. Every MPbase already calls this type of complex networked environment home.

In short, with MPbase this nasty real world environment and problem are no problem.

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