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.
This course is part of the Cloud Computing Specialization
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Cloud Computing SpecializationUniversity of Illinois at Urbana-ChampaignAbout this Course
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Course 2 of 6 in the
Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
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.
Course 2 of 6 in the
Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
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
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
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
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
- 5 stars68.28%
- 4 stars24.59%
- 3 stars4.20%
- 2 stars0.97%
- 1 star1.94%
TOP REVIEWS FROM CLOUD COMPUTING CONCEPTS: PART 2
by SCMay 15, 2018
Good course. Gives you a good overview of cloud computing paradigms. Cloud Computing I and II both are quite informative courses.
by DMDec 2, 2021
Excellent primer on distributed systems theory and practice, but the programming assignment was complicated by low quality template code.
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.
by AOApr 21, 2022
This is great to understand some of the most important underlying challenges of distributed computing. I'd say this is a mind-opener for fundational knowledge about cloud computing.
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.
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