Abstract

This paper describes a research study concerning the potential of associative processing as a solution to the problem of real-time data management. The desired outcome of the research was an evaluation of the comparative advantages of associative processing over conventional sequential processing as applied to general real-time Data Management System (DMS) problems. The specific DMS application framework within which the study was carried out was that of the data management functions of the U.S. Air Force Tactical Air Control Center (TACC).

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