A distributed system is a collection of independent computers that appear to the users of the system as a single computer. The distributed system uses relatively cheaper computer systems with commodity hardware and by interconnecting them through high speed network it is possible to implement many features which were not possible earlier. The main advantages of the distributed systems are: availability, reliability, scalability and communication. It is possible to improve the performance of the applications executed in the distributed systems by carrying out parallel computations on the computers connected in the distributed system in a transparent manner (distributed and parallel processing).
In this research center, we plan to do the following activities: (i) To provide training in Hadoop DFS, BlobSeer DFS and Mapreduce framework (used for distributed and parallel programming) (ii) To carry out research activities in distributed file system particularly for improving the performance of the read operations done on the DFS.
1. T. Lakshmi Siva Rama Krishna, T. Ragunathan and Sudheer Kumar Battula,“Improving the Performance of Read Operations in Distributed File System” , International conference on computational intelligence and communication networks, CICN 2014, Bhopal, India.
(This paper will be indexed by IEEE Xplore library)
2. T. Lakshmi Siva Rama Krishna, T. Ragunathan and Sudheer Kumar Battula, “Read and Write Performance Evaluation of Hadoop Distributed File System”, PAAP 2014, China. (Published in IEEE Xplore digital library)
3. T. Lakshmi Siva Rama Krishna and T. Ragunathan, “A Novel Technique for Improving the Performanceof read operations in BlobSeer Distributed File System”, presented at CSI BIG 2014, Conference on IT in Business, Industry and Government, Indore during 08-09, March 2014.
4. Mohak Sharma, P. Krishna Reddy, R. Uday Kiran and T. Ragunathan, Improving the Performance of Recommender System by Exploiting the Categories of Products, Lecture Notes in Computer Science, 2011, Volume 7108/2011, 137-146.