課程信息
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第 1 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為38 小時

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

英語(English)

字幕:英語(English)

您將獲得的技能

Distributed AlgorithmDistributed ComputingC++Cloud Computing

第 1 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為38 小時

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

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 6 小時

Week 1: Orientation, Introduction to Clouds, MapReduce

This course is oriented towards learners with similar backgrounds as juniors and seniors in a CS undergraduate curriculum. Since learners come from various backgrounds, it is critical you view this lecture AND pass the prerequisite test. This will ensure you have many of the assumed prerequisite pieces of knowledge required to enjoy this course. ...
16 個視頻 (總計 155 分鐘), 8 個閱讀材料, 3 個測驗
16 個視頻
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23分鐘
Week 1 Introduction1分鐘
1.1. Why Clouds?6分鐘
1.2. What is a Cloud?5分鐘
1.3. Introduction to Clouds: History7分鐘
1.4. Introduction to Clouds: What's New in Today's Clouds7分鐘
1.5. Introduction to Clouds: New Aspects of Clouds8分鐘
1.6. Introduction to Clouds: Economics of Clouds7分鐘
2.1. A cloud IS a distributed system5分鐘
2.2. What is a distributed system?16分鐘
3.1. MapReduce Paradigm14分鐘
3.2. MapReduce Examples10分鐘
3.3. MapReduce Scheduling12分鐘
3.4. MapReduce Fault-Tolerance8分鐘
Interview with Sumeet Singh16分鐘
8 個閱讀材料
Orientation Overview10分鐘
Syllabus10分鐘
About the Discussion Forums10分鐘
Instructions for Taking the Prerequisite Quiz10分鐘
Course Learning Community and Social Media10分鐘
Week 1 Overview10分鐘
Homework 1 Instructions10分鐘
Programming Assignment Instructions10分鐘
3 個練習
Orientation Quiz10分鐘
Prerequisite Quiz50分鐘
Homework 114分鐘
2
完成時間為 3 小時

Week 2: Gossip, Membership, and Grids

Lesson 1: This module teaches how the multicast problem is solved by using epidemic/gossip protocols. It also teaches analysis of such protocols. Lesson 2: This module covers the design of failure detectors, a key component in any distributed system. Membership protocols, which use failure detectors as components, are also covered. Lesson 3: This module covers Grid computing, an important precursor to cloud computing....
14 個視頻 (總計 122 分鐘), 2 個閱讀材料, 1 個測驗
14 個視頻
1.1. Multicast Problem9分鐘
1.2. The Gossip Protocol5分鐘
1.3. Gossip Analysis15分鐘
1.4. Gossip Implementations4分鐘
2.1. What is Group Membership List?8分鐘
2.2. Failure Detectors9分鐘
2.3. Gossip-Style Membership7分鐘
2.4. Which is the best failure detector?4分鐘
2.5. Another Probabilistic Failure Detector9分鐘
2.6. Dissemination and suspicion8分鐘
3.1. Grid Applications6分鐘
3.2. Grid Infrastucture11分鐘
Interview with William Gropp20分鐘
2 個閱讀材料
Week 2 Overview10分鐘
Homework 2 Instructions10分鐘
1 個練習
Homework 212分鐘
3
完成時間為 3 小時

Week 3: P2P Systems

P2P systems: This module teaches the detailed design of two classes of peer to peer systems: (a) popular ones including Napster, Gnutella, FastTrack, and BitTorrent; and (b) efficient ones including distributed hash tables (Chord, Pastry, and Kelips). Besides focusing on design, the module also analyzes these systems in detail....
10 個視頻 (總計 105 分鐘), 2 個閱讀材料, 1 個測驗
10 個視頻
1. P2P Systems Introduction5分鐘
2. Napster7分鐘
3. Gnutella20分鐘
4. FastTrack and BitTorrent7分鐘
5. Chord22分鐘
6. Failures in Chord14分鐘
7. Pastry6分鐘
8. Kelips10分鐘
Blue Waters Supercomputer9分鐘
2 個閱讀材料
Week 3 Overview10分鐘
Homework 3 Instructions10分鐘
1 個練習
Homework 328分鐘
4
完成時間為 4 小時

Week 4: Key-Value Stores, Time, and Ordering

Lesson 1: This module motivates and teaches the design of key-value/NoSQL storage/database systems. We cover the design of two major industry systems: Apache Cassandra and HBase. We also cover the famous CAP theorem. Lesson 2: Distributed systems are asynchronous, which makes clocks at different machines hard to synchronize. This module first covers various clock synchronization algorithms, and then covers ways of tagging events with causal timestamps that avoid synchronizing clocks. These classical algorithms were invented decades ago, yet are used widely in today’s cloud systems....
12 個視頻 (總計 147 分鐘), 3 個閱讀材料, 1 個測驗
12 個視頻
1.1. Why Key-Value/NOSQL?15分鐘
1.2. Cassandra27分鐘
1.3. The Mystery of X-The Cap Theorem19分鐘
1.4. The Consistency Spectrum9分鐘
1.5. HBase10分鐘
2.1. Introduction and Basics10分鐘
2.2. Cristian's Algorithm5分鐘
2.3. NTP4分鐘
2.4. Lamport Timestamps14分鐘
2.5. Vector Clocks12分鐘
Interview with Marcos Aguilera14分鐘
3 個閱讀材料
Week 4 Overview10分鐘
Optional: Lamport Timestamps (Ukulele Version)10分鐘
Homework 4 Instructions10分鐘
1 個練習
Homework 450分鐘
5
完成時間為 8 小時

Week 5: Classical Distributed Algorithms

Lesson 1: This module covers how to calculate a distributed snapshot, leveraging causality again to circumvent the synchronization problem. Lesson 2: This lecture teaches how to order multicasts in any distributed system. Algorithms for assigning timestamp tags to multicasts using various flavors of ordering – FIFO, Causal, and Total – are covered. The module also covers virtual synchrony, a paradigm that combines reliable multicasts with membership views. Lesson 3: Consensus is one of the most important problems in a distributed system, enabling multiple machines to agree. This module uses Paxos, one of the most popular consensus solutions used in the industry today. Paxos is not perfect because consensus cannot be solved completely – an optional lecture presents the famous FLP proof of impossibility of consensus. ...
16 個視頻 (總計 156 分鐘), 3 個閱讀材料, 3 個測驗
16 個視頻
1.1. What is Global Snapshot?7分鐘
1.2. Global Snapshot Algorithm10分鐘
1.3. Consistent Cuts6分鐘
1.4. Safety and Liveness7分鐘
2.1. Multicast Ordering16分鐘
2.2. Implementing Multicast Ordering 19分鐘
2.3. Implementing Multicast Ordering 27分鐘
2.4. Reliable Multicast5分鐘
2.5. Virtual Synchrony11分鐘
3.1. The Consensus Problem12分鐘
3.2. Consensus In Synchronous Systems8分鐘
3.3. Paxos, Simply13分鐘
3.4. The FLP Proof [OPTIONAL]20分鐘
Interview with Tushar Chandra13分鐘
Conclusion to Cloud Computing Concepts, Part 13分鐘
3 個閱讀材料
Week 5 Overview10分鐘
Homework 5 Instructions10分鐘
Final Exam Instructions10分鐘
2 個練習
Homework 530分鐘
Final Exam
4.5
170 個審閱Chevron Right

20%

完成這些課程後已開始新的職業生涯

14%

通過此課程獲得實實在在的工作福利

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創建者 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.

創建者 DPOct 7th 2016

This instructor is fantastic. He is exceptionally thorough and his delivery is very good as well. This is a course definitely worth taking if you are interested in learning more about the cloud.

講師

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Indranil Gupta

Professor
Department of Computer Science

立即開始攻讀碩士學位

此 課程 隸屬於 伊利诺伊大学香槟分校 提供的 100% 在線 Master in Computer Science。如果您被錄取參加全部課程,您的課程將計入您的學位學習進程。

關於 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. ...

關於 云计算 專項課程

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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