A Cyber-Physical Stream Algorithm for Intelligent Software Defined Storage

Abstract

The paper presents a new Cyber Physical Stream algorithm for selecting a predominant item from very large collections of data. The algorithm effectively works for frequencies of the predominant items starting from about 2%. The algorithm is focused on querying massive data in Software-Defined Storage combined with Fuzzy indexing method. Experiment results show that Cyber Physical Stream algorithm improves the accuracy and efficiency over previous efforts.

Organization of Intelligent Memory Introducing Cluster Access

“…This way, we can get a universal operation of the two stage access to associative memory: stage one combines actions of "Write down an applied new datum -with prelude "Marking the old data matching the applied pattern"; stage two performs "Read out" of the just recorded datum and the "Marked" items from a stream in a reverse order. The Cyber-physical stream selection of a majority element [5] modifies the customary practice of resolution multiple responses to the suggested cluster intelligence access. The developed construction challenges the primary illusion in the design of the brain as an apparition of separate short and long-term memories.…”