当前位置>主页 > 期刊在线 > 信息技术 >

信息技术21年20期

影响高性能云计算的重要因素与模型检验分析
张宇姣
(太原师范学院,山西 晋中 030619)

摘  要:为了研究高性能计算(HPC)在复杂环境中决策因素的影响力,提出一种集成模型,结合了创新扩展(DOI)和“人 - 组织 - 技术”适应(HOT-fit)理论。通过决策制定者对间接收益和当前 HPC 能力的判断进行云计算预测,充分考虑了人的因素、技术因素。结果表明,采用云计算的间接收益、资源充足性、高层管理支持和兼容性方面有着不同看法。因此,可以利用间接收益和 HPC 能力,对是否会在 HPC 中采用云计算的决策进行预测。


关键词:高性能计算;云计算;兼容性;间接收益;预测



DOI:10.19850/j.cnki.2096-4706.2021.20.008


中图分类号:TP391;F272                         文献标识码:A                                    文章编号:2096-4706(2021)20-0030-04


Important Factors Affecting High Performance Cloud Computing and Model Inspection and Analysis

ZHANG Yujiao

(Taiyuan Normal University, Jinzhong 030619, China)

Abstract:In order to study the influence of decision factors of high performance computing (HPC) in complex environment, an integrated model is proposed, which combines the theory of Diffusion of Innovations (DOI) and the “human-organization-technology” fit (HOT-fit). Through the judgment of decision-makers on indirect benefits and current HPC capabilities, cloud computing prediction is carried out, taking full account of human factors and technical factors. The results show that there are different views on the indirect benefits, resource adequacy, top management support and compatibility of cloud computing. Therefore, indirect benefits and HPC capabilities can be used to predict the decision making whether cloud computing will be adopted in HPC.

Keywords: high performance computing; cloud computing; compatibility; indirect benefits; prediction


参考文献:

[1] 罗军舟,金嘉晖,宋爱波,等 . 云计算:体系架构与关键技术 [J]. 通信学报,2011,32(7):3-21.

[2] 尧敏 . 云计算时代中小企业的 IT 服务管理创新 -IT 服务设计和服务持续改进流程优 [D]. 上海:华东理工大学,2016.

[3] ALSHAMAILA Y,PAPAGIANNIDIS S,LI F. Cloud computing adoption by SMEs in the north east of England [J].Journal of

Enterprise Information Management,2013,26(3):250-275.

[4] 郑方,张昆,邬贵明,等 . 面向高性能计算的众核处理器结构级高能效技术 [J]. 计算机学报,2014,37(10):2176-2186.

[5] PHAPHOOM N,WANG X,SAMUEL S,et al. A survey study on major technical barriers affecting the decision to adopt cloud services [J].Journal of Systems & Software,2015,103(5):167-181.

[6] 王彥婷 . 影响医院导入「云端运算」之关键因素研究:整合 TOE 与 HOT-Fit 的观点 [D]. 台中:台中科技大学,2012.


作者简介:张宇姣(1987—),女,汉族,山西晋中人,实验师,硕士,研究方向:人工智能,大数据分析,计算机教育。