An Integrated Framework for Performance Analysis and Tuning in Grid Environment

TL;DR

This paper proposes an integrated framework for real-time performance analysis and dynamic tuning of applications in grid environments to maintain quality of service amid resource variability.

Contribution

It introduces a novel framework that combines performance analysis, tuning, and rescheduling to adapt applications to changing grid resource conditions.

Findings

Framework enables real-time performance monitoring

Supports dynamic resource reallocation

Improves application QoS in heterogeneous environments

Abstract

In a heterogeneous, dynamic environment, like Grid, post-mortem analysis is of no use and data needs to be collected and analysed in real time. Novel techniques are also required for dynamically tuning the application's performance and resource brokering in order to maintain the desired QoS. The objective of this paper is to propose an integrated framework for performance analysis and tuning of the application, and rescheduling the application, if necessary, to some other resources in order to adapt to the changing resource usage scenario in a dynamic environment.