Parallel knowledge processing in open networks
The objective of this paper is the description of WAVE model and language for highly parallel processing in open computer networks, as well as an efficient distributed implementation of the language. The WAVE language interpreter may be a basic building block for parallel knowledge processing systems working without any centralised resources in an integral logic & data flow mode. Application of the model for intelligent management of distributed computer networks, based on integration of the WAVE interpreters with traditional network management tools, is discussed.
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