@inproceedings{c830076ccebe4d689adbd7452ba5a2bf,
title = "A parametric study of an open source distributed computing environment for tribological studies",
abstract = "A parametric study of a single system image cluster is presented for parallel computing applications in the Tribology field. The trend to use a cluster of computers to solve complex numerical problems is emerging for high performance/cost ratio, scalability, and freely available open source. At the present such a system is easy to construct and to maintain for cluster computing. An air bearing model with four design variables was used for simulating light to moderate and variable computational loads. The factors considered in this parametric study are network-connecting speed, master node capability, and computing-task size. The subjects of task-allocation method and task-load balancing are also discussed to elaborate the characteristics of the cluster. While the computational problems in the Tribology field are diversified in every aspect, the parametric survey can assist the construction of a cluster as well as the selection of suitable parallel algorithms for computationally intensive simulations.",
keywords = "Air Bearing, Computer Cluster, Parallel Computing",
author = "Nenzi Wang and Yen, \{Ming Lung\}",
year = "2004",
language = "英语",
isbn = "0791841812",
series = "Proceedings of the ASME/STLE International Joint Tribology Conference, IJTC 2004",
number = "PART B",
pages = "1765--1787",
booktitle = "Proceedings of the ASME/STLE International Joint Tribology Conference, IJTC 2004",
edition = "PART B",
note = "2004 ASME/STLE International Joint Tribology Conference ; Conference date: 24-10-2004 Through 27-10-2004",
}