Intelligent Software Defined Storage

摘要: The Big Data situation requires a qualitatively different type of information processing. This problem brings in new computational model that explicitly works only with relatively small portion the available data, while rest data just implicitly affects selection given working [1]. unavoidable restrictions on operations overabundant translate into design brain accordance fundamental Freud’s idea unconsciousness. is contemplated our paper [2]. Diversified overwhelming amounts appears ambiguous, volatile, and unreliable. So, contents systems cannot be treated confidence as traditional searching mining. Instead, should utilized essentially through what can seen “knowledge formation”. In other words, processing must performed by considered “scientific method”. Namely, besides simple extraction references from regular full exploitation necessitates formulating testable hypotheses creating prediction models. A classical illustration presents usage observational Tycho Brahe transformation Kepler’s laws Newton’s “Universal Gravitation”. Thus, employing falls realm Artificial Intelligence. As matter fact, intelligence facilities necessary condition to deal challenge. special holographic memory pivot point realization these To implement such kind practice we introduce particular construction Software Defined Storage. emulates basic features suggested organization brain: multi-attribute cortical map, content-addressable access, stream resolution multiple responses. envisioned Storage incorporates two developments: device for multiatribute items accessed any combinations attributes using Fuzzyfind procedures [3] massive distributed streaming responses [4].