分布式系统教育:从传统模式到新的学习路径

Florin Pop, V. Cristea
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引用次数: 3

摘要

分布式系统支撑着我们的数字经济,从而支撑着现代世界。这些系统作为庞大但基本上自主的复杂技术生态系统运行,已经存储和处理了我们的行业和社会产生的大部分(大)数据,并托管着全球云市场。教学和研究分布式系统必须使下一代系统的下一个“杀手级应用”成为可能:应对预计到2020年将占整个互联网流量80%以上的新应用(多媒体、卫星图像、政府、卫生、关键基础设施),使更多的分布式和异构基础设施元素成为可能(例如,云与雾和边缘计算相结合、普惠系统、无处不在和移动计算)。本文从布加勒斯特Politehnica大学计算机科学与工程系(UPB)取得的成果出发,考虑到与阿姆斯特丹自由大学、欧洲和美国的不同大学以及其他研究机构(如Cern、INRIA)的成功合作,重点介绍了本科、硕士和博士分布式系统教学的主要思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Systems Education: From Traditional Models to New Paths of Learning
Distributed systems underpin our digital economy and thus the modern world. By operating as enormous yet largely autonomous ecosystems of complex technologies, these systems already store and process a majority of the (big) data produced by our industry and our society, and host the global cloud market. Teaching and researching distributed systems must enable the next "killer applications" of the next-generation systems: to cope with the new applications (multimedia, satellite images, government, health, critical infrastructure) expected to represent over 80% of the overall Internet traffic by 2020, enabling much more distributed and heterogeneous infrastructure elements (e.g., clouds combined with fog and edge computing, pervasive system, ubiquitous and mobile computing). This extended abstract is focused on presenting the main ideas about teaching distributed system for undergraduate, master and PhD students, starting from achievements obtained by Computer Science and Engineering Department of University Politehnica of Bucharest (UPB) and considering success collaborations with VU Amsterdam, different universities from Europe and USA and other research institutes (e.g. Cern, INRIA).
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