Customised approach for efficient data storing and retrieving from university database using Repetitive Frequency Indexing

Indexing provides efficient way of storing and retrieving the data from the database by mapping with the respective records. Storing and Retrieving the data from the databases of various universities always requires efficient algorithms or procedures because of huge amount of student information stored. In order to retrieve and store data from the database in more efficient manner, customized indexing methods becomes mandatory. The normal indexing with equal number of alphabets in the primary index results to more time complexity and wastage of the space for unallocated records. This paper proposes a customized and enhanced approach to search the information from such databases with reduced time complexity and latency time. This is achieved using Indexing with Repetitive Frequency to form the buckets with equal number of records.