On the Performance of Oracle Grid Engine Queuing System for Computing Intensive Applications

Vladi Kolici, Albert Herrero and Fatos Xhafa
Volume: 10, No: 4, Page: 491 ~ 502, Year: 2014
10.3745/JIPS.01.0004
Keywords: Benchmarking, Cloud Computing, Computing Intensive Applications, Genetic Algorithms, Grid Computing, Oracle Grid Engine, Scheduling, Simulation
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Abstract
In this paper we present some research results on computing intensive applications using modern high performance architectures and from the perspective of high computational needs. Computing intensive applications are an important family of applications in distributed computing domain. They have been object of study using different distributed computing paradigms and infrastructures. Such applications distinguish for their demanding needs for CPU computing, independently of the amount of data associated with the problem instance. Among computing intensive applications, there are applications based on simulations, aiming to maximize system resources for processing large computations for simulation. In this research work, we consider an application that simulates scheduling and resource allocation in a Grid computing system using Genetic Algorithms. In such application, a rather large number of simulations is needed to extract meaningful statistical results about the behavior of the simulation results. We study the performance of Oracle Grid Engine for such application running in a Cluster of high computing capacities. Several scenarios were generated to measure the response time and queuing time under different workloads and number of nodes in the cluster.

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Cite this article
IEEE Style
Vladi Kolici, Albert Herrero, and Fatos Xhafa, "On the Performance of Oracle Grid Engine Queuing System for Computing Intensive Applications," Journal of Information Processing Systems, vol. 10, no. 4, pp. 491~502, 2014. DOI: 10.3745/JIPS.01.0004.

ACM Style
Vladi Kolici, Albert Herrero, and Fatos Xhafa, "On the Performance of Oracle Grid Engine Queuing System for Computing Intensive Applications," Journal of Information Processing Systems, 10, 4, (2014), 491~502. DOI: 10.3745/JIPS.01.0004.