Title :
Performance characterization of heterogeneous distributed commodity cluster resources
Author :
Ezugwu, Absalom E. ; Frincu, Marc E. ; Junaidu, Sahalu B.
Author_Institution :
Dept. of Comput. Sci., Fed. Univ. Lafia, Lafia-Nasarawa, Nigeria
Abstract :
While distributed computing systems which generally involve the aggregation of geographically distributed heterogeneous resources can in principle be used as computing platform, in practice, the discovery and selection of quality resources that satisfy user´s application requirements remain an issue that is difficult to address. In this paper, we represent the performance of a computational cluster as a regression model that can be used to fine-tune the selection of suitable cluster resources. A study on the performance of distributed systems with respect to particular variations in parameters is presented. Our objective is to use a measurement-based evaluation technique to characterize the specific performance contribution of the individual cluster resource configurations. In the process we identify the key primary parameters (or factors) that should be considered when selecting and allocating a computational node for user application execution.
Keywords :
distributed processing; performance evaluation; regression analysis; resource allocation; cluster resource configurations; computational cluster performance; computational node allocation; computational node selection; distributed systems performance; heterogeneous distributed commodity cluster resources; measurement-based evaluation technique; regression model; user application execution; Aggregates; Bandwidth; Computational modeling; Data mining; Processor scheduling; Resource management; Throughput; commodity clusters; factorial design; node performance; performance evaluation; resource characterization;
Conference_Titel :
Adaptive Science & Technology (ICAST), 2014 IEEE 6th International Conference on
DOI :
10.1109/ICASTECH.2014.7068102