Analysing Compression Performance For Real Time Database Systems

Database compression and decompression is a susceptible problem in the database framework. Database compression is widely used in data management to improve the performance and save storage space. When you have large amounts of data, the cost of the storage subsystem can easily exceed the cost of your data server. Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk access rates by orders of magnitude, enabling the use of database compression techniques to improve the performance of database systems. In this paper, we outlined the new techniques to analyse the database compression performance for real time database systems. This proposed technique not only reduces space requirements on disk and I/O performance, they also reduce the utilization of memory, thus reducing the number of buffer faults resulting in I/O. This algorithm enables more granular, enhances the compression and decompression performance. Index Terms – compression performance, database performance, database compression, database decompression, real-time database