Efficient Database Risk Management Using BSP and Fuzzy Logic

Abstract

Increasing passion for internet throughout the world causes the exponential growth in the web applications and distributed techniques. Due to high usage of web applications massive transactions are happening at the database server side. Even though databases are well equipped with powerful tools, most of the times they are unable to fulfill the user’s demand and resulting in longer waiting queues or crashing of databases. So many methods and systems are existing to handle the overflowing database queries, but most of them again take longer time to get rid of the situation. This paper put forwards an idea of handling this risk situation of the database by collecting all the queries in a Queue and thereby evaluating risk aware situation by fuzzy classification. Once the risk awareness is notified then these queries in the queue are committing quickly using batch stream processing technique to avoid longer waiting queues of the queries for execution.
DOI: 10.17762/ijritcc2321-8169.150792