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Cloud Computing Concepts, Part 1

Approx. 23 hours to complete

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Course Summary

This course teaches you the basics of cloud computing and how to use cloud services to store, process, and analyze data. You will learn about different cloud computing models and providers and how to choose the right one for your business needs.

Key Learning Points

Understand the basics of cloud computing and its different models
Learn how to use cloud services to store, process, and analyze data
Gain knowledge about different cloud providers and how to choose the right one for your business needs

Learning Outcomes

Understand the different cloud computing models and their advantages and disadvantages
Be able to use cloud services to store, process, and analyze data
Be able to choose the right cloud provider for your business needs

Prerequisites or good to have knowledge before taking this course

Basic knowledge of computer systems and networks
Familiarity with data storage and analysis concepts

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Video lectures
Hands-on exercises

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Description

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.

Outline

Week 1: Orientation, Introduction to Clouds, MapReduce
Introduction to Cloud Computing Concepts, Part 1
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals
Week 1 Introduction
1.1. Why Clouds?
1.2. What is a Cloud?
1.3. Introduction to Clouds: History
1.4. Introduction to Clouds: What's New in Today's Clouds
1.5. Introduction to Clouds: New Aspects of Clouds
1.6. Introduction to Clouds: Economics of Clouds
2.1. A cloud IS a distributed system
2.2. What is a distributed system?
3.1. MapReduce Paradigm
3.2. MapReduce Examples
3.3. MapReduce Scheduling
3.4. MapReduce Fault-Tolerance
Interview with Sumeet Singh
Orientation Overview
Syllabus
About the Discussion Forums
Instructions for Taking the Prerequisite Quiz
Course Learning Community and Social Media
Week 1 Overview
Homework 1 Instructions
Programming Assignment Instructions
Orientation Quiz
Prerequisite Quiz
Homework 1

Week 2: Gossip, Membership, and Grids
Week 2 Introduction
1.1. Multicast Problem
1.2. The Gossip Protocol
1.3. Gossip Analysis
1.4. Gossip Implementations
2.1. What is Group Membership List?
2.2. Failure Detectors
2.3. Gossip-Style Membership
2.4. Which is the best failure detector?
2.5. Another Probabilistic Failure Detector
2.6. Dissemination and suspicion
3.1. Grid Applications
3.2. Grid Infrastucture
Interview with William Gropp
Week 2 Overview
Homework 2 Instructions
Homework 2

Week 3: P2P Systems
Week 3 Introduction
1. P2P Systems Introduction
2. Napster
3. Gnutella
4. FastTrack and BitTorrent
5. Chord
6. Failures in Chord
7. Pastry
8. Kelips
Blue Waters Supercomputer
Week 3 Overview
Homework 3 Instructions
Homework 3

Week 4: Key-Value Stores, Time, and Ordering
Week 4 Introduction
1.1. Why Key-Value/NOSQL?
1.2. Cassandra
1.3. The Mystery of X-The Cap Theorem
1.4. The Consistency Spectrum
1.5. HBase
2.1. Introduction and Basics
2.2. Cristian's Algorithm
2.3. NTP
2.4. Lamport Timestamps
2.5. Vector Clocks
Interview with Marcos Aguilera
Week 4 Overview
Optional: Lamport Timestamps (Ukulele Version)
Homework 4 Instructions
Homework 4

Week 5: Classical Distributed Algorithms
Week 5 Introduction
1.1. What is Global Snapshot?
1.2. Global Snapshot Algorithm
1.3. Consistent Cuts
1.4. Safety and Liveness
2.1. Multicast Ordering
2.2. Implementing Multicast Ordering 1
2.3. Implementing Multicast Ordering 2
2.4. Reliable Multicast
2.5. Virtual Synchrony
3.1. The Consensus Problem
3.2. Consensus In Synchronous Systems
3.3. Paxos, Simply
3.4. The FLP Proof [OPTIONAL]
Interview with Tushar Chandra
Conclusion to Cloud Computing Concepts, Part 1
Week 5 Overview
Homework 5 Instructions
IMPORTANT Update notes for Gossip Protocol submission (Oct 24, 2019)
Final Exam Instructions
Homework 5
Final Exam

Summary of User Reviews

The Cloud Computing course on Coursera is a great resource for anyone looking to learn about cloud computing technologies. Many users have praised the course for its comprehensive coverage of the topic, which is presented in a clear and easy-to-understand manner. One key aspect that many users thought was good is the practical assignments that allow learners to apply the concepts they have learned in real-world scenarios.

Pros from User Reviews

Comprehensive coverage of cloud computing technologies
Clear and easy-to-understand presentation of the material
Practical assignments that allow learners to apply concepts in real-world scenarios
Engaging and knowledgeable instructors
Flexible schedule and self-paced learning

Cons from User Reviews

Some topics may be too basic for experienced professionals
Limited interaction with instructors and other learners
Technical issues with course materials and platform
Lack of hands-on experience with cloud computing tools and platforms
Not suitable for learners looking for advanced or specialized topics

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