A hybrid architecture for astronomical computing
Abstract
With many large science equipment constructing and putting into use, astronomy has stepped into the big data era. The new method and infrastructure of big data processing has become a new requirement of many astronomers. Cloud computing, Map/Reduce, Hadoop, Spark, etc. many new technology has sprung up in recent years. Comparing to the high performance computing(HPC), Data is the center of these new technology. So, a new computing architecture infrastructure is necessary, which can be shared by both HPC and big data processing. Based on Astronomy Cloud project of Chinese Virtual Observatory (China-VO), we have made much efforts to optimize the designation of the hybrid computing platform. which include the hardware architecture, cluster management, Job and Resource scheduling.
Keywords
Cite
@article{arxiv.1801.07548,
title = {A hybrid architecture for astronomical computing},
author = {Changhua Li and Chenzhou Cui and Boliang He and Dongwei Fan and Linying Mi and Shanshan Li and Sisi Yang and Yunfei Xu and Jun Han and Junyi Chen and Hailong Zhang and Ce Yu and Jian Xiao and Chuanjun Wang and Zihuang Cao and Yufeng Fan and Liang Liu and Xiao Chen and Wenming Song and Kangyu Du},
journal= {arXiv preprint arXiv:1801.07548},
year = {2018}
}
Comments
4 pages, 2 figures, ADASS XXVI conference