Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing.
クラウドコンピューティング の専門講座イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）このコースについて
156,749 最近の表示
受講生の就業成果
17%
コース終了後に新しいキャリアをスタートした
14%
コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の1コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約23時間で修了
英語
字幕：英語, 韓国語
習得するスキル
Distributed AlgorithmDistributed ComputingC++Cloud Computing
受講生の就業成果
17%
コース終了後に新しいキャリアをスタートした
14%
コースが具体的なキャリアアップにつながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における6の1コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約23時間で修了
英語
字幕：英語, 韓国語
提供：
イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）
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.
修士号の取得を目指しましょう
この コース は イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign） の100%オンラインの Master in Computer Science の一部です。
プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。
シラバス - 本コースの学習内容
6時間で修了
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.
6時間で修了
16件のビデオ （合計155分）, 8 readings, 3 quizzes
16件のビデオ
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23 分
Week 1 Introduction1 分
1.1. Why Clouds?6 分
1.2. What is a Cloud?5 分
1.3. Introduction to Clouds: History7 分
1.4. Introduction to Clouds: What's New in Today's Clouds7 分
1.5. Introduction to Clouds: New Aspects of Clouds8 分
1.6. Introduction to Clouds: Economics of Clouds7 分
2.1. A cloud IS a distributed system5 分
2.2. What is a distributed system?16 分
3.1. MapReduce Paradigm14 分
3.2. MapReduce Examples10 分
3.3. MapReduce Scheduling12 分
3.4. MapReduce Fault-Tolerance8 分
Interview with Sumeet Singh16 分
8件の学習用教材
Orientation Overview10 分
Syllabus10 分
About the Discussion Forums10 分
Instructions for Taking the Prerequisite Quiz10 分
Course Learning Community and Social Media10 分
Week 1 Overview10 分
Homework 1 Instructions10 分
Programming Assignment Instructions10 分
3の練習問題
Orientation Quiz30 分
Prerequisite Quiz30 分
Homework 130 分
3時間で修了
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.
3時間で修了
14件のビデオ （合計122分）, 2 readings, 1 quiz
14件のビデオ
1.1. Multicast Problem9 分
1.2. The Gossip Protocol5 分
1.3. Gossip Analysis15 分
1.4. Gossip Implementations4 分
2.1. What is Group Membership List?8 分
2.2. Failure Detectors9 分
2.3. Gossip-Style Membership7 分
2.4. Which is the best failure detector?4 分
2.5. Another Probabilistic Failure Detector9 分
2.6. Dissemination and suspicion8 分
3.1. Grid Applications6 分
3.2. Grid Infrastucture11 分
Interview with William Gropp20 分
2件の学習用教材
Week 2 Overview10 分
Homework 2 Instructions10 分
1の練習問題
Homework 230 分
3時間で修了
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.
3時間で修了
10件のビデオ （合計105分）, 2 readings, 1 quiz
10件のビデオ
1. P2P Systems Introduction5 分
2. Napster7 分
3. Gnutella20 分
4. FastTrack and BitTorrent7 分
5. Chord22 分
6. Failures in Chord14 分
7. Pastry6 分
8. Kelips10 分
Blue Waters Supercomputer9 分
2件の学習用教材
Week 3 Overview10 分
Homework 3 Instructions10 分
1の練習問題
Homework 330 分
4時間で修了
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.
4時間で修了
12件のビデオ （合計147分）, 3 readings, 1 quiz
12件のビデオ
1.1. Why Key-Value/NOSQL?15 分
1.2. Cassandra27 分
1.3. The Mystery of X-The Cap Theorem19 分
1.4. The Consistency Spectrum9 分
1.5. HBase10 分
2.1. Introduction and Basics10 分
2.2. Cristian's Algorithm5 分
2.3. NTP4 分
2.4. Lamport Timestamps14 分
2.5. Vector Clocks12 分
Interview with Marcos Aguilera14 分
3件の学習用教材
Week 4 Overview10 分
Optional: Lamport Timestamps (Ukulele Version)10 分
Homework 4 Instructions10 分
1の練習問題
Homework 430 分
レビュー
CLOUD COMPUTING CONCEPTS, PART 1 からの人気レビュー
VTにより2016年8月21日
Very useful course. It built my Cloud Computing basis from scratch. Fisrt course gives me the enthusiasm to start the later ones. A good place for studying and sharing with course mates. Thank you!
KPにより2016年12月5日
Great lectures. However, the starter code for the programming assignment is quite atrocious. Overall, would highly recommend to anyone wanting to learn high level concepts in distributed systems.
MRにより2017年7月15日
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.
DPにより2016年10月6日
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.
クラウドコンピューティング専門講座について
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.
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The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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