会议论文详细信息
21st International Conference on Computing in High Energy and Nuclear Physics | |
Diversity in Computing Technologies and Strategies for Dynamic Resource Allocation | |
物理学;计算机科学 | |
Garzoglio, G.^1 ; Gutsche, O.^1 | |
Fermi National Accelerator Laboratory, Batavia | |
IL, United States^1 | |
关键词: Computational resources; Computing technology; Data intensive; Dynamic resource allocations; Grid technologies; Resource providers; Science disciplines; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/664/1/012001/pdf DOI : 10.1088/1742-6596/664/1/012001 |
|
学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
High Energy Physics (HEP) is a very data intensive and trivially parallelizable science discipline. HEP is probing nature at increasingly finer details requiring ever increasing computational resources to process and analyze experimental data. In this paper, we discuss how HEP provisioned resources so far using Grid technologies, how HEP is starting to include new resource providers like commercial Clouds and HPC installations, and how HEP is transparently provisioning resources at these diverse providers.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Diversity in Computing Technologies and Strategies for Dynamic Resource Allocation | 2510KB | download |