- 来自www.coursera.org
Cloud Networking
课程
en
英语
30 时
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- 5 序列
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课程详情
教学大纲
- Week 1 - Orientation
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. - Week 1 - Week 1
We will start by looking at the applications running in data centers and the traffic patterns resulting from them. This will help us differentiate the networking needs within data centers from computer networking in general and set the stage for other material... - Week 2 - Week 2
This week, we will dive further into the data center network stack, looking at routing and switching for physical and virtual machines and congestion control. We’ll examine what concerns routing needs to address in these environments and how it’s done in pract... - Week 3 - Week 3
This week focuses on management and sharing of network infrastructure in cloud data centers. Traditional networking technologies require complex, error-prone network configuration, and make sharing of the network across multiple tenants in a secure manner diff... - Week 4 - Week 4
Zooming out from within data centers, this week will examine other pieces of the cloud networking ecosystem: inter-data center WAN connectivity, content distribution networks, end-user Internet connectivity, and application interactions with the network. We’ll... - Week 5 - Week 5 - Programming Assignment Submission
There is no new content in this module. You can find all the information about the programming assignments here, as well as submit your programming assignments here.
先决条件
没有。
讲师
P. Brighten Godfrey
Associate Professor
Department of Computer Science
Ankit Singla
Assistant Professor
Department of Computer Science, ETH Zürich
编辑
伊利诺伊大学香槟分校（UIUC）成立于 1867 年。伊利诺伊大学的主校区位于芝加哥以南 200 公里处的香槟和厄巴纳双城。
根据世界大学排名中心（Center for World University Rankings）等多项排名，这所重点大学跻身全球最负盛名的大学之列，2020-21 年的全球排名为第 22 位。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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