This course is part of the Cloud Computing Specialization

4.6
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314 ratings

Indranil Gupta

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Cloud Computing SpecializationUniversity of Illinois at Urbana-Champaign

About this Course

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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.
Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! 
 
Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.
 
The course also features interviews with leading researchers and managers, from both industry and academia.

This course builds on the material covered in the Cloud Computing Concepts, Part 1 course.

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Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 2 of 6 in the

Cloud Computing Specialization

Approx. 19 hours to complete

English

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Skills you will gain

Distributed Computing
C++
Cloud Computing
NoSQL

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 6 in the

Cloud Computing Specialization

Approx. 19 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.5/5 (12 Ratings)

Indranil Gupta

Professor

Department of Computer Science

134,226 Learners

6 Courses

Offered by

University of Illinois at Urbana-Champaign

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Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

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.

5 hours to complete

11 videos (Total 122 min), 7 readings, 2 quizzes

11 videos

Introduction to Cloud Computing Concepts, Part 23mOrientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23mWeek 1 Introduction1m1.1. The Election Problem8m1.2. Ring Leader Election14m1.3. Election in Chubby and ZooKeeper9m1.4. Bully Algorithm9m2.1. Introduction and Basics12m2.2. Distributed Mutual Exclusion10m2.3. Ricart-Agrawala's Algorithm11m2.4. Maekawa's Algorithm and Wrap-Up16m

7 readings

Orientation Overview10mSyllabus10mAbout the Discussion Forums10mCourse Learning Community and Social Media10mWeek 1 Overview10mHomework 1 Instructions10mProgramming Assignment Instructions10m

2 practice exercises

Orientation Quiz30mHomework 130m

Week2

Week 2

3 hours to complete

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.

3 hours to complete

8 videos (Total 95 min), 2 readings, 1 quiz

Week3

Week 3

3 hours to complete

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.

3 hours to complete

9 videos (Total 110 min), 2 readings, 1 quiz

Week4

Week 4

3 hours to complete

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.

3 hours to complete

6 videos (Total 109 min), 2 readings, 1 quiz

Reviews

4.6

68 reviews

5 stars
68.47%
4 stars
24.52%
3 stars
4.14%
2 stars
0.95%
1 star
1.91%

TOP REVIEWS FROM CLOUD COMPUTING CONCEPTS: PART 2

by GGJun 1, 2019

The course gives an advanced overview of the distributed system. The programming assignment was hard to crack but there was a lot of learning involved.

by HGApr 14, 2017

Just the same as the first course. Medium-hard quizzes and a hard programming assigment that is actually harder to understand than to develop.

Overall a five star course.

by MRJul 15, 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.

by SRJun 26, 2017

In continuation with Pt. I, this course delves into many more interesting topics. There's a significant scope of self-discovery and learning.

View all reviews

About the Cloud Computing Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Cloud Computing Concepts: Part 2

About this Course

Skills you will gain