@inproceedings{b1a4544dafb141739263b97a965bcad1,
title = "A parallel workload model and its implications for maui scheduling policies",
abstract = "We develop a workload model based on the logs of real workloads of the Linux cluster Atlas and a small IBM Blue Gene/L cluster at Lawrence Livermore National Laboratory (LLNL), and the 184-node IBM eServer pSeries 655/690 at the San Diego Supercomputer Center (SDSC). This model gives us insight into the performance of scheduling jobs on space-sharing parallel computers, provided by Maui. We find out that backfill queuing policies improve a lot of the system performance, and without reservation, the allocation policies do not have an obvious distance between each other.",
keywords = "Evaluation, Maui, Scheduling policy, Workload model",
author = "Zhuo Liu and Aihua Liang and Limin Xiao",
year = "2010",
doi = "10.1109/ICCMS.2010.16",
language = "英语",
isbn = "9780769539416",
series = "ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation",
pages = "384--389",
booktitle = "ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation",
note = "2010 International Conference on Computer Modeling and Simulation, ICCMS 2010 ; Conference date: 22-01-2010 Through 24-01-2010",
}