On the Performance of Oracle Grid Engine Queuing System for Computing Intensive Applications
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In this paper we present some research results on computing intensiveapplications using modern high performance architectures and from the perspective ofhigh computational needs. Computing intensive applications are an important family ofapplications in distributed computing domain. They have been object of study usingdifferent distributed computing paradigms and infrastructures. Such applicationsdistinguish for their demanding needs for CPU computing, independently of the amountof data associated with the problem instance. Among computing intensive applications,there are applications based on simulations, aiming to maximize system resources forprocessing large computations for simulation. In this research work, we consider anapplication that simulates scheduling and resource allocation in a Grid computingsystem using Genetic Algorithms. In such application, a rather large number ofsimulations is needed to extract meaningful statistical results about the behavior of thesimulation results. We study the performance of Oracle Grid Engine for such applicationrunning in a Cluster of high computing capacities. Several scenarios were generated tomeasure the response time and queuing time under different workloads and number ofnodes in the cluster.
Abstract
In this paper we present some research results on computing intensiveapplications using modern high performance architectures and from the perspective ofhigh computational needs. Computing intensive applications are an important family ofapplications in distributed computing domain. They have been object of study usingdifferent distributed computing paradigms and infrastructures. Such applicationsdistinguish for their demanding needs for CPU computing, independently of the amountof data associated with the problem instance. Among computing intensive applications,there are applications based on simulations, aiming to maximize system resources forprocessing large computations for simulation. In this research work, we consider anapplication that simulates scheduling and resource allocation in a Grid computingsystem using Genetic Algorithms. In such application, a rather large number ofsimulations is needed to extract meaningful statistical results about the behavior of thesimulation results. We study the performance of Oracle Grid Engine for such applicationrunning in a Cluster of high computing capacities. Several scenarios were generated tomeasure the response time and queuing time under different workloads and number ofnodes in the cluster.
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