Name
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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Distributed, Parallel, and Cluster Computing | Architecture,Computer architecture,Spark (mathematics),Supercomputer,Computer science,Sextant (astronomical),Big data,Virtual observatory,Distributed computing,Cloud computing,Hardware architecture |
DocType | Volume | Citations |
Journal | abs/1801.07548 | 0 |
PageRank | References | Authors |
0.34 | 0 | 20 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changhua Li | 1 | 1 | 1.72 |
| Chenzhou Cui | 2 | 15 | 5.24 |
| Boliang He | 3 | 0 | 2.03 |
| Dongwei Fan | 4 | 0 | 0.34 |
| Linying Mi | 5 | 0 | 0.34 |
| Shanshan Li | 6 | 295 | 53.11 |
| Sisi Yang | 7 | 0 | 0.68 |
| Yunfei Xu | 8 | 5 | 2.78 |
| Jun Han | 9 | 239 | 30.45 |
| Junyi Chen | 10 | 0 | 0.68 |
| Hailong Zhang | 11 | 6 | 2.84 |
| Ce Yu | 12 | 75 | 15.15 |
| Jian Xiao | 13 | 379 | 34.37 |
| Chuanjun Wang | 14 | 3 | 1.88 |
| Zihuang Cao | 15 | 0 | 0.34 |
| Yufeng Fan | 16 | 0 | 1.35 |
| Liang Liu | 17 | 163 | 40.93 |
| Xiao Chen | 18 | 42 | 16.43 |
| Wenming Song | 19 | 0 | 1.01 |
| Kangyu Du | 20 | 0 | 0.34 |