Description

Risk Aware Query Replacement Approach For Secure Databases Performance Management. Large amount of data and increased demand to extract,analyze and derive knowledge from data are impairing nowadays performance of enterprise mission-critical systems such as databases.For databases,the challenging problem is to manage complex and sometimes non-optimized queries < Final Year Projects 2016 > executed on enormous data sets stored across several tables. This generally results in increased query response time and loss of employees productivity. In this paper, we investigate the problem of enterprise computing resources availability. Our goal is to minimize performance degradation arising from resource intensive queries. We propose a risk aware approach that decouples the process of analyzing resource requirements of sql queries from their execution.