Journal of System Simulation
Abstract
Abstract: The benchmark's guiding role in system selection/optimization requires its workload model has the ability to: Run on various systems of the target application scenario (be portable); Reflect the typical tasks' characteristics and data access patterns (be representative). The emerging systems and tasks in large-scale astronomical data management field have led workload models constructed by existing methods to be prone to lose portability and representativeness. An automatic evolutionary workload modeling method has been proposed: Abstract operations are used to keep the workload model’s portability; Automatic workload log analytics are used to keep the workload model’s representativeness. The feasibility of this method is verified by a cluster optimization case.
Recommended Citation
Wang, Huajin; Meng, Wan; Rui, Han; Wei, Ren; Zhang, Haiming; and Li, Jianhui
(2019)
"Towards the Automatic Evolution of Workload Models in Large-scale Astronomical Data Management,"
Journal of System Simulation: Vol. 30:
Iss.
9, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201809009
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss9/9
First Page
3293
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201809009
Last Page
3305
CLC
TP.391.9
Recommended Citation
Wang Huajin, Wan Meng, Han Rui, Ren Wei, Zhang Haiming, Li Jianhui. Towards the Automatic Evolution of Workload Models in Large-scale Astronomical Data Management[J]. Journal of System Simulation, 2018, 30(9): 3293-3305.
DOI
10.16182/j.issn1004731x.joss.201809009
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