A Real Time Analytical Architecture for Weather Fore Casting

U Karthick¹, R Sathishkannan², P Gomathi³

^1,2Department of CSE, ³Department of EEE, NSN College of Engineering, India

Abstract

In each technology there is one same challenge added to Big Data collected from remote sensing application than it collecting the information, and extracting the most required information in a proficient way leads a system on the way to major computational challenges, such the challenges are examine, load, and aggregate, everyplace data are remotely collected. In the view of observance above stated factors, there is a necessity for designing system architecture those receptions both real-time data processing, as well as offline data processing. In this paper, we propose an analytical architecture on big data for remotely detected data from satellite application. The proposed architecture comprises three main units:1) Remote sensing Big Data acquisition unit (RSDU); 2) Data processing unit (DPU); and 3) Data analysis decision unit (DADU). In starting stage, RSDU gets data from the satellite and then transmit this data to the Base Station, where the initial processing of data takes place. Next, DPU acting an important role in architecture for effective processing of real-time Data collected from remote application by given that filtration, load balancing, and parallel processing. In final stage, DADU is the top most layer unit of the offered architecture, which one is responsible for compilation, loading of the results, and Generation of decision based on the results acknowledged from DPU.

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Cite this Article as Follows

U Karthick, R Sathishkannan, P Gomathi. "A Real Time Analytical Architecture for Weather Fore Casting." International Conference on Intelligent Computing and Systems (2017): 40. Print.