distributed computing is one of the paradigms in the world of information technology. Middleware is the essential tool for implementing distributed computing for overtaking the heterogeneity of platform and language. ...
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distributed computing is one of the paradigms in the world of information technology. Middleware is the essential tool for implementing distributed computing for overtaking the heterogeneity of platform and language. DRDO's intranet, DRONA, has the potential of hosting distributed applications across the network. This paper deals with the essentials of distributed computing, architecture of DRONA network, and the scope of distributed computing in Defence applications. It also suggests a few possible applications of distributed computing.
There have been several developments both in hardware and softwares for capturing and processinggeographic information. The results yield by the processing of geo-spatial data helps for efficient planning and strateg...
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ISBN:
(纸本)9781509063147;9781509063130
There have been several developments both in hardware and softwares for capturing and processinggeographic information. The results yield by the processing of geo-spatial data helps for efficient planning and strategic decision making. Due to the amount of geo-spatial data captured and stored every day, it has become of utmost importance that the data be processed and the results be delivered in time. With the increasing amount of data, application of distributed and parallel frameworks which have been proven capable of processing large amounts of data in other domains has become necessary. These frameworks have to be extended to support geo-spatial data and related geo-processing operations. In this paper, we have extended the regular k-means clustering to support processing of multi spectral geo-spatial raster data over Hadoop. By performing clustering on multiple dimensions (multiple spectrums) simultaneously over a distributedprocessing framework, Apache Hadoop, our approach allows detailed clustering. Our approach in addition to considering n-dimensional data also allows processing it by utilizing heterogeneous and distributed resources for faster processing and delivery results.
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