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

Author:

Vetter Jeffrey S.1,Reed Daniel A.2

Affiliation:

1. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, California

2. Department of Computer Science, University Of Illinois, Urbana, Illinois

Abstract

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.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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2. FUTURES-DPE;Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2018-11-06

3. Scalable Cloning on Large-Scale GPU Platforms with Application to Time-Stepped Simulations on Grids;ACM Transactions on Modeling and Computer Simulation;2018-01-31

4. tFUTURES;Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2017-11-07

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