Big data parallelism: Issues in different X-information paradigms

Abstract

Emerging technologies are largely engaged in processing big data using different computational environments especially in different X-information systems such as Astronomy, Biology, Biomedicine, Business, Chemistry, Climate, Computer Science, Earth Science, Electronics, Energy, Environment, Finance, Health, Intelligence, Lifestyle, Market Engineering, Mechanics, Medicine, Pathology, Physics, Policy Making, Radar, Security, Social Issues, Wealth, Wellness and so on for different visual and graphical modelling. These frameworks of different scientific modelling will help Government, Industry, Research and different other communities for their decisionmaking and strategic planning. In this paper we will discuss about different X-informatics systems, trends of different emerging technologies, how big data processing will help in different decision making and different models available in the parallel paradigms and the probable way out to work with high dimensional data. © 2015 The Authors. Published by Elsevier B.V.