Friday 19th of April 2024
 

Performance Enhancement Evaluation in Database Decompression Using HIRAC Algorithm


Muthukumar Murugesan

Storage space ability and computational authority increases, processing and analyzing large volumes of database systems acts as a significant role in several areas of scientific research. Database compression and decompression is a susceptible problem in the database framework. Disk storage systems can often be the most expensive components of a database solution, even a small reduction in the storage subsystem can result in substantial cost savings for the entire database solution. When you have large amounts of data, the cost of the storage subsystem can easily exceed the cost of your data server. In this paper we proposed a new algorithm for database compression and decompression called HIRAC algorithm. If we compress the database, there is chance of hurting the data in the compressed database systems. Projected algorithm will manipulates each row in compressed database inside the file to extract the original database without losing any data.

Keywords: database compression, database decompression, real-time database, compression performance, database performance

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ABOUT THE AUTHOR

Muthukumar Murugesan
Muthukumar Murugesan received the B.Sc, M.C.A and M.Phil degrees in Computer Science from the Madras University, Chennai, Tamilnadu, India, Bharathidasan University, Tamilnadu, India and Manonmaniam Sundaranar University, Tamilnadu, India in year 1997, 2000 and 2003 respectively. He was working as IT Analyst, in Department of Application and Software Development, IBM India Private Limited, Bangalore, Karnadaka, India. Currently he is a research scholar in Department of Karpagam University, Coimbatore, Tamilnadu, India. His fields of interest are database, compression, storage, and network.


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