A Jobs Allocation Strategy for Multiple DRBL Diskless Linux Clusters with Condor Schedulers
Chao‐Tung Yang, Ping-I Chen, Sung‐Yi Chen, Hao-Yu Tung · 2006
In this paper, we construct four DRBL-based diskless Linux PC clusters and install Globus Toolkit and Condor scheduler on the master node of each cluster. All diskless clusters can be merged into a powerful computing environment. To utilize the computing power, we propose a jobs allocation strategy for application execution. We use HPL to conduct some performance evaluations and analyze those data to form a formula for jobs allocation. The information server will calculate the value of computing power based on our formula and find the most appropriate cluster to execute the job. It can make our large computing environment that can execute the jobs in a more efficient way