关于此课程： 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.
此课程适用人群： 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).
教学方： Indranil Gupta, Professor
Department of Computer Science
| 基本信息 | 课程 2（共 6 门，Cloud Computing Specialization ） |
| 承诺学习时间 | 5 weeks of study, 5 - 10 hours/week |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
- Reading: Orientation Overview
- Reading: Syllabus
- Reading: About the Discussion Forums
- Practice Quiz: Orientation Quiz
- 视频: 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
- 视频: Week 1 Introduction
- 视频: 1.1. The Election Problem
- 视频: 1.2. Ring Leader Election
- 视频: 1.3. Election in Chubby and ZooKeeper
- 视频: 1.4. Bully Algorithm
- 视频: 2.1. Introduction and Basics
- 视频: 2.2. Distributed Mutual Exclusion
- 视频: 2.3. Ricart-Agrawala's Algorithm
- 视频: 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
- 视频: 1.1. RPCs
- 视频: 1.2. Transactions
- 视频: 1.3. Serial Equivalence
- 视频: 1.4. Pessimistic Concurrency
- 视频: 1.5. Optimistic Concurrency Control
- 视频: 2.1. Replication
- 视频: 2.2. Two-Phase Commit
- Reading: Homework 2 Instructions
- Discussion Prompt: Homework 2 Discussion
- Reading: Week 3 Overview
- 视频: Stream Processing in Storm
- 视频: Distributed Graph Processing
- 视频: Structure of Networks
- 视频: 4.1. Single-processor Scheduling
- 视频: 4.2. Hadoop Scheduling
- 视频: 4.3. Dominant-Resource Fair Scheduling
- 视频: Storm Demo
- 视频: Apache Spark by Faria Kalim
- Reading: Homework 3 Instructions
- Discussion Prompt: Homework 3 Discussion
- Reading: Week 4 Overview
- 视频: 1.1. File System Abstraction
- 视频: 1.2. NFS and AFS
- 视频: Distributed Shared Memory
- 视频: Sensor and Their Networks
- 视频: Interview with Brighten Godfrey
- Reading: Homework 4 Instructions
- Discussion Prompt: Homework 4 Discussion
- Reading: Week 5 Overview
- 视频: 1.1. Basic Security Concepts
- 视频: 1.2. Basic Cryptography Concepts
- 视频: 1.3. Implementing Mechanism using Cryptography
- 视频: 2.1. What Causes Disasters?
- 视频: 2.2. AWS Outage
- 视频: 2.3. Facebook Outage
- 视频: 2.4. The Planet Outage
- 视频: 2.5. Wrap-Up
- 视频: Interview with Paul Kwiat
- Reading: Homework 5 Instructions
- Discussion Prompt: Homework 5 Discussion
- 视频: Conclusion to Cloud Computing Concepts, Part 2
- Reading: Final Exam Instructions
- Discussion Prompt: Final Exam Discussion
- Discussion Prompt: Final Reflection
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This was a great and interesting course just like the first part. However, I only gave 4 out of 5 as it the matrial was getting less and less specific to cloud computing towards the end. It covered topics that would still be important in cloud computing, but weren't cloud computing per-se. I knew most of that already from elsewhere and that's what the expectation should be on the learners. Otherwise, it feels like a waste of time for people who already know it.
Awesome class for software engineers. If you haven't take it in college, or need a refresher, this is a great way to do so.
Excellently taught by prof
SC
Good course. Gives you a good overview of cloud computing paradigms. Cloud Computing I and II both are quite informative courses.