Об этом курсе: 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.
Для кого этот курс: Who this class is for: This course is intended for students with similar backgrounds as junior or senior undergraduates in computer science. This course will teach you basic algorithmic and design concepts for distributed systems, as used in today’s cloud systems. Much of the course, including quizzes, is conceptual and not programming oriented. The programming assignment assumes some knowledge of C++ (if you have only Java experience, you should be able to pick up C++ quickly may suffice), and allow you to write distributed algorithms in an emulated distributed system on your own machine. To ensure you have the necessary prerequisites, you need to take the prerequisite quiz and achieve a high passing score (at least 90%, preferably 100%). Based on prior student experiences, the Linux/Unix environment may work better for the programming assignments than Windows. Who this class is NOT for: This course is NOT intended for those: (1) wishing to get a high level overview of cloud computing (you can use Wikipedia for that); (2) wishing to do detailed programming in a real cloud (the Cloud Capstone and Cloud Applications MOOCs provide you that); (3) who are averse to theoretical and algorithmic concepts; (4) with little or no prior programming experience in C++ or Java; (5) who expect to see industry-quality code in programming assignments (these are play programming assignments focused on allowing you to implement concepts you learn from lectures, and are not intended for immediate deployment); (6) those not familiar with setting up IDEs/compilers, etc., especially for C++; or (7) those who want to rush through lectures and/or videos and attempt quizzes in haste (quizzes are hard, so make sure you view lectures completely and comprehensively before attempting quizzes).
Преподаватели: Indranil Gupta, Professor
Department of Computer Science
| Основные сведения | Курс 2 из 6 — Cloud Computing Specialization |
| Выполнение | 5 weeks of study, 5 - 10 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Reading: Orientation Overview
- Reading: Syllabus
- Reading: About the Discussion Forums
- Practice Quiz: Orientation Quiz
- Видео: Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals
- Discussion Prompt: Getting to Know Your Classmates
- Reading: Course Learning Community and Social Media
- Reading: Week 1 Overview
- Видео: Week 1 Introduction
- Видео: 1.1. The Election Problem
- Видео: 1.2. Ring Leader Election
- Видео: 1.3. Election in Chubby and ZooKeeper
- Видео: 1.4. Bully Algorithm
- Видео: 2.1. Introduction and Basics
- Видео: 2.2. Distributed Mutual Exclusion
- Видео: 2.3. Ricart-Agrawala's Algorithm
- Видео: 2.4. Maekawa's Algorithm and Wrap-Up
- Reading: Homework 1 Instructions
- Discussion Prompt: Homework 1 Discussion
- Reading: Programming Assignment Instructions
- Reading: Week 2 Overview
- Видео: 1.1. RPCs
- Видео: 1.2. Transactions
- Видео: 1.3. Serial Equivalence
- Видео: 1.4. Pessimistic Concurrency
- Видео: 1.5. Optimistic Concurrency Control
- Видео: 2.1. Replication
- Видео: 2.2. Two-Phase Commit
- Reading: Homework 2 Instructions
- Discussion Prompt: Homework 2 Discussion
- Reading: Week 3 Overview
- Видео: Stream Processing in Storm
- Видео: Distributed Graph Processing
- Видео: Structure of Networks
- Видео: 4.1. Single-processor Scheduling
- Видео: 4.2. Hadoop Scheduling
- Видео: 4.3. Dominant-Resource Fair Scheduling
- Видео: Storm Demo
- Видео: Apache Spark by Faria Kalim
- Reading: Homework 3 Instructions
- Discussion Prompt: Homework 3 Discussion
- Reading: Week 4 Overview
- Видео: 1.1. File System Abstraction
- Видео: 1.2. NFS and AFS
- Видео: Distributed Shared Memory
- Видео: Sensor and Their Networks
- Видео: Interview with Brighten Godfrey
- Reading: Homework 4 Instructions
- Discussion Prompt: Homework 4 Discussion
- Reading: Week 5 Overview
- Видео: 1.1. Basic Security Concepts
- Видео: 1.2. Basic Cryptography Concepts
- Видео: 1.3. Implementing Mechanism using Cryptography
- Видео: 2.1. What Causes Disasters?
- Видео: 2.2. AWS Outage
- Видео: 2.3. Facebook Outage
- Видео: 2.4. The Planet Outage
- Видео: 2.5. Wrap-Up
- Видео: Interview with Paul Kwiat
- Reading: Homework 5 Instructions
- Discussion Prompt: Homework 5 Discussion
- Видео: Conclusion to Cloud Computing Concepts, Part 2
- Reading: Final Exam Instructions
- Discussion Prompt: Final Exam Discussion
- Discussion Prompt: Final Reflection
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I have really grown to like Indy's presentation style. He manages to give high quality lecture after lecture, with very few exceptions. In this entire class, only a few minutes of AFS presentation seemed like it could be improved.
The programming assignment took a bit more work for me this class, even though it was actually easier. I wished that the differentiation between the MP1 and MP2 styles of calling the EmulNet network was spelled out in the instructions. Lack of an example of how to use the MP2 entrypoints into the API had me trying to implement an entry point (which would require more work than was likely expected).
This course was excellent. As a distributed systems engineer I found it very educational and well designed. I was able to refresh some of the concepts and put my knowledge into a better context. Big thank you to the instructor for creating this wonderful learning material.
I couldn't quite appreciate the utility of topics like sensor networks or structure of networks. Other than that, the course was fine and the programming assignment was interesting.
Great course. Looking forward to completing the whole specialization!