Real-Time Performance Monitoring, Adaptive Control, and Interactive Steering of Computational Grids

To support creation of nimble applications for computational grids, the authors believe one must eliminate the barrier that separates program creation from execution and post-mortem optimization. This paper outlines an approach to dynamic performance adaptation and distributed optimization in the grid environment based on a suite of performance instrumentation, analysis, and presentation tools that includes distributed performance sensors and resource policy actuators, fuzzy logic rule bases for adaptive control, and immersive visualization systems for real-time visualization and direct manipulation of software behavior.