第 2 门课程(共 6 门)

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尝试观看 Master in Computer Science 学位的课程视频、阅读课程以及完成自主学习作业

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为24 小时

建议:5 weeks of study, 5 - 10 hours/week...

英语(English)

字幕:英语(English), 韩语

您将获得的技能

Distributed ComputingC++Cloud ComputingNoSQL

第 2 门课程(共 6 门)

开始攻读学位

尝试观看 Master in Computer Science 学位的课程视频、阅读课程以及完成自主学习作业

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为24 小时

建议:5 weeks of study, 5 - 10 hours/week...

英语(English)

字幕:英语(English), 韩语

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

Week 1: Course Orientation and Classical Distributed Algorithms Continued

Lesson 1: To coordinate machines in a distributed system, this module first looks at classical algorithms for electing a leader, including the Ring algorithm and Bully algorithm. We also cover how Google’s Chubby and Apache Zookeeper solve leader election. Lesson 2: This module covers solutions to the problem of mutual exclusion, which is important for correctness in distributed systems with shared resources. We cover classical algorithms, including Ricart-Agrawala’s algorithm and Maekawa’s algorithm. We also cover Google’s Chubby support for mutual exclusion....
11 个视频 (总计 122 分钟), 7 个阅读材料, 2 个测验
11 个视频
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23分钟
Week 1 Introduction1分钟
1.1. The Election Problem8分钟
1.2. Ring Leader Election14分钟
1.3. Election in Chubby and ZooKeeper9分钟
1.4. Bully Algorithm9分钟
2.1. Introduction and Basics12分钟
2.2. Distributed Mutual Exclusion10分钟
2.3. Ricart-Agrawala's Algorithm11分钟
2.4. Maekawa's Algorithm and Wrap-Up16分钟
7 个阅读材料
Orientation Overview10分钟
Syllabus10分钟
About the Discussion Forums10分钟
Course Learning Community and Social Media10分钟
Week 1 Overview10分钟
Homework 1 Instructions10分钟
Programming Assignment Instructions10分钟
2 个练习
Orientation Quiz10分钟
Homework 120分钟
2
完成时间为 2 小时

Week 2: Concurrency and Replication Control

Lesson 1: Transactions are an important component of many cloud systems today. This module presents building blocks to ensure transactions work as intended, from Remote Procedure Calls (RPCs), to serial equivalence for transactions, to optimistic and pessimistic approaches to concurrency control, to deadlock avoidance/prevention. Lesson 2: This module covers how replication – maintaining copies of the same data at different locations – is used to provide many nines of availability in distributed systems, as well as different techniques for replication and for ensuring transactions commit correctly in spite of replication. ...
8 个视频 (总计 95 分钟), 2 个阅读材料, 1 个测验
8 个视频
1.1. RPCs17分钟
1.2. Transactions13分钟
1.3. Serial Equivalence12分钟
1.4. Pessimistic Concurrency13分钟
1.5. Optimistic Concurrency Control9分钟
2.1. Replication14分钟
2.2. Two-Phase Commit11分钟
2 个阅读材料
Week 2 Overview10分钟
Homework 2 Instructions10分钟
1 个练习
Homework 230分钟
3
完成时间为 3 小时

Week 3: Emerging Paradigms

Lesson 1: We study the emerging area of stream processing, touching on key design aspects of Apache Storm. Lesson 2: We study how enormous graphs can be processed in clouds. Lesson 3: We study various types of networks/graphs that are both natural and artificial, and their surprising commonalities. Lesson 4: This module presents classical scheduling algorithms that have been used in operating systems since the inception of computers. We then cover two popular scheduling algorithms for Hadoop....
9 个视频 (总计 110 分钟), 2 个阅读材料, 1 个测验
9 个视频
Stream Processing in Storm15分钟
Distributed Graph Processing16分钟
Structure of Networks21分钟
4.1. Single-processor Scheduling11分钟
4.2. Hadoop Scheduling11分钟
4.3. Dominant-Resource Fair Scheduling8分钟
Storm Demo 9分钟
Apache Spark by Faria Kalim12分钟
2 个阅读材料
Week 3 Overview10分钟
Homework 3 Instructions10分钟
1 个练习
Homework 330分钟
4
完成时间为 3 小时

Week 4: Classical Systems

Lesson 1: When files and directories are stored/accessed over the network, it is called a distributed file system. This module covers the working of distributed file systems like NFS and AFS. Lesson 2: This module covers Distributed Shared Memory systems, their techniques, and pros/cons. Lesson 3: This module looks at the area of sensor networks, starting from what’s inside a sensor mote and how networks of them work....
6 个视频 (总计 109 分钟), 2 个阅读材料, 1 个测验
6 个视频
1.1. File System Abstraction23分钟
1.2. NFS and AFS14分钟
Distributed Shared Memory17分钟
Sensor and Their Networks30分钟
Interview with Brighten Godfrey23分钟
2 个阅读材料
Week 4 Overview10分钟
Homework 4 Instructions10分钟
1 个练习
Homework 420分钟
5
完成时间为 7 小时

Week 5: Real-Life Behaviors

Lesson 1: This module is a primer on basic security concepts, not just applied to distributed systems, but also more generally. We study various policies and mechanisms, including encryption, authentication, and authorization. Lesson 2: This module presents case studies of real datacenter outages, and attempts to draw lessons on how to prevent them and how to better prepare for them. ...
11 个视频 (总计 102 分钟), 3 个阅读材料, 3 个测验
11 个视频
1.1. Basic Security Concepts9分钟
1.2. Basic Cryptography Concepts8分钟
1.3. Implementing Mechanism using Cryptography15分钟
2.1. What Causes Disasters?6分钟
2.2. AWS Outage14分钟
2.3. Facebook Outage5分钟
2.4. The Planet Outage5分钟
2.5. Wrap-Up7分钟
Interview with Paul Kwiat24分钟
Conclusion to Cloud Computing Concepts, Part 23分钟
3 个阅读材料
Week 5 Overview10分钟
Homework 5 Instructions10分钟
Final Exam Instructions10分钟
2 个练习
Homework 520分钟
Final Exam
4.6
47 个审阅Chevron Right

热门审阅

创建者 MRJul 16th 2017

Great course, I would recommend to everyone who wants to understand the basics of cloud computing. The course material is excellent, the instructor Indy is phenomenal and the exams are marvelous.

创建者 AHJan 1st 2018

Very nice and informative course, and the programming assignment in the end of the course is so helpful to understand and apply the theoretical concepts that was introduced during the course

讲师

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Indranil Gupta

Professor
Department of Computer Science

领先获取学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science。立即开始学习开放课程或专项课程,观看 iMBA 教师的课程并完成自主学习作业。 完成每门课程后,您将获得一个证书,您可以添加到 LinkedIn 和简历中。 如果申请并被录取参加全部课程,您的课程将计入您的学位学习进程。

关于 伊利诺伊大学香槟分校

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

关于 云计算 专项课程

The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses. The first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
云计算

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