caa a22 4500 44585197X CHVBK 20180317145416.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s11227-009-0369-3 doi (NATIONALLICENCE)springer-10.1007/s11227-009-0369-3 On construction of a well-balanced allocation strategy for heterogeneous multi-cluster computing environments [Elektronische Daten] [Chao-Tung Yang, Kuan-Chou Lai, Hao-Yu Tung] With the rapid increment of the heterogeneity of hardware devices, cluster computing has to encounter the problem of handling heterogeneous resources for exploiting the utilization of system resources. This paper introduces a new job allocation strategy based on multi-clusters in diskless environments. By adopting Ganglia as the resource monitor and Condor as the queue system, a heterogeneous multi-cluster system is also constructed with and without storage devices for evaluating the system performance. The proposed algorithm is called the Well-Balanced Allocation Strategy (WBAS) in which the scheduler dispatches MPI-based jobs to appropriate resources across multi-clusters. The strategy focuses on dispatching jobs to nodes with similar performance, thus equalizing execution times among all the required nodes. The WBAS is implemented on the constructed heterogeneous multi-cluster system to evaluate the performance of the scheduling strategy. The experimental results show that the proposed strategy performs well and could efficiently improve the system performance. Springer Science+Business Media, LLC, 2009 Multi-cluster nationallicence Heterogeneous nationallicence Job scheduling nationallicence Resource monitoring nationallicence Yang Chao-Tung High-Performance Computing Laboratory, Department of Computer Science, Tunghai University, 40704, Taichung, Taiwan (ROC) aut Lai Kuan-Chou Department of Computer and Information Science, National Taichung University, 40306, Taichung, Taiwan (ROC) aut Tung Hao-Yu High-Performance Computing Laboratory, Department of Computer Science, Tunghai University, 40704, Taichung, Taiwan (ROC) aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/3(2011-06-01), 270-299 0920-8542 56:3<270 2011 56 11227 https://doi.org/10.1007/s11227-009-0369-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0369-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Chao-Tung High-Performance Computing Laboratory, Department of Computer Science, Tunghai University, 40704, Taichung, Taiwan (ROC) aut NATIONALLICENCE 700 1- Lai Kuan-Chou Department of Computer and Information Science, National Taichung University, 40306, Taichung, Taiwan (ROC) aut NATIONALLICENCE 700 1- Tung Hao-Yu High-Performance Computing Laboratory, Department of Computer Science, Tunghai University, 40704, Taichung, Taiwan (ROC) aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/3(2011-06-01), 270-299 0920-8542 56:3<270 2011 56 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer