Real-time large-scale big data networks analytics and visualization architecture
Pravin Chopade, Justin Z. Zhan, Kaushik Roy, Kenneth M. Flurchick
Abstract
Pravin Chopade, Justin Z. Zhan, Kaushik Roy, Kenneth M. Flurchick
Abstract
Big data analytics and visualization emerged as socio-technical needs in this current century as well as will be main dominant workforces in next generation technologies. Today's social and technological operations are centered around massive data transfer. These activities are more predominant for dynamic real-time data handling and operations. Better visualization techniques will help for clear and effective understanding in any real-time dynamic systems. Existing data analytics and visualization environment lacks functional features while operating over wide range real-time dynamic systems. Considering the drawbacks of existing data visualization systems in this paper we put forward 'Large-Scale System Data Visualization' architecture i.e. X-SimViz. This XSimViz framework will allow users for interactive real-time i.e. dynamic data analytics and visualization.
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Big data analytics and visualization emerged as socio-technical needs in this current century as well as will be main dominant workforces in next generation technologies. Today's social and technological operations are centered around massive data transfer. These activities are more predominant for dynamic real-time data handling and operations. Better visualization techniques will help for clear and effective understanding in any real-time dynamic systems. Existing data analytics and visualization environment lacks functional features while operating over wide range real-time dynamic systems. Considering the drawbacks of existing data visualization systems in this paper we put forward 'Large-Scale System Data Visualization' architecture i.e. X-SimViz. This XSimViz framework will allow users for interactive real-time i.e. dynamic data analytics and visualization.
Key concepts: Visualization, Computer science, Big data, Analytics, Visual analytics, Data visualization, Data science, Information visualization