Data Intensive Computing in the Clouds

Goud, N Suresh (2013) Data Intensive Computing in the Clouds. MTech thesis.



Data intensive computing deals with computational methods and architectures to analyse and discover intelligence in huge volumes of data generated in many application domains. Cloud computing is a major aim for data intensive computing, as it allows scalable processing of massive amount of data. It is a promising next-generation computing paradigm given its many advantages such as scalability, reliability, elasticity, high availability, and low cost. Here is the problem is big data. We can’t stop the big data. So here I am using to MapReduce model to decrease the data. But the problem of MapReduce is fault tolerance and reliable, so here over come this problem to using Hadoop framework. Hadoop will provide highly fault tolerant, high throughput and it suitable for applications with large data sets, streaming access to file system data and it can be built out of commodity hardware

Item Type:Thesis (MTech)
Uncontrolled Keywords:Data Intensive Computing, Clouds, MapReduce, Hadoop
Subjects:Engineering and Technology > Computer and Information Science > Networks
Divisions: Engineering and Technology > Department of Computer Science
ID Code:4784
Deposited By:Hemanta Biswal
Deposited On:01 Nov 2013 08:44
Last Modified:20 Dec 2013 10:55
Supervisor(s):Sahoo, B

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