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.
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 1 из 6 — Cloud Computing Specialization |
| Уровень | Начинающий |
| Выполнение | 5 weeks of study, 5 - 10 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Lecture: Orientation Overview
- Lecture: Syllabus
- Lecture: About the Discussion Forums
- Quiz pour s'exercer: Orientation Quiz
- Видео: Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals
- Lecture: Instructions for Taking the Prerequisite Quiz
- Quiz pour s'exercer: Prerequisite Quiz
- Demande de discussion: Getting to Know Your Classmates
- Lecture: Course Learning Community and Social Media
- Lecture: Week 1 Overview
- Видео: Week 1 Introduction
- Видео: 1.1. Why Clouds?
- Видео: 1.2. What is a Cloud?
- Видео: 1.3. Introduction to Clouds: History
- Видео: 1.4. Introduction to Clouds: What's New in Today's Clouds
- Видео: 1.5. Introduction to Clouds: New Aspects of Clouds
- Видео: 1.6. Introduction to Clouds: Economics of Clouds
- Видео: 2.1. A cloud IS a distributed system
- Видео: 2.2. What is a distributed system?
- Видео: 3.1. MapReduce Paradigm
- Видео: 3.2. MapReduce Examples
- Видео: 3.3. MapReduce Scheduling
- Видео: 3.4. MapReduce Fault-Tolerance
- Видео: Interview with Sumeet Singh
- Lecture: Homework 1 Instructions
- Demande de discussion: Homework 1 Discussion
- Lecture: Programming Assignment Instructions
- Lecture: Week 2 Overview
- Видео: 1.1. Multicast Problem
- Видео: 1.2. The Gossip Protocol
- Видео: 1.3. Gossip Analysis
- Видео: 1.4. Gossip Implementations
- Видео: 2.1. What is Group Membership List?
- Видео: 2.2. Failure Detectors
- Видео: 2.3. Gossip-Style Membership
- Видео: 2.4. Which is the best failure detector?
- Видео: 2.5. Another Probabilistic Failure Detector
- Видео: 2.6. Dissemination and suspicion
- Видео: 3.1. Grid Applications
- Видео: 3.2. Grid Infrastucture
- Видео: Interview with William Gropp
- Lecture: Homework 2 Instructions
- Demande de discussion: Homework 2 Discussion
- Lecture: Week 3 Overview
- Видео: 1. P2P Systems Introduction
- Видео: 2. Napster
- Видео: 3. Gnutella
- Видео: 4. FastTrack and BitTorrent
- Видео: 5. Chord
- Видео: 6. Failures in Chord
- Видео: 7. Pastry
- Видео: 8. Kelips
- Видео: Blue Waters Supercomputer
- Lecture: Homework 3 Instructions
- Demande de discussion: Homework 3 Discussion
- Lecture: Week 4 Overview
- Видео: 1.1. Why Key-Value/NOSQL?
- Видео: 1.2. Cassandra
- Видео: 1.3. The Mystery of X-The Cap Theorem
- Видео: 1.4. The Consistency Spectrum
- Видео: 1.5. HBase
- Видео: 2.1. Introduction and Basics
- Видео: 2.2. Cristian's Algorithm
- Видео: 2.3. NTP
- Видео: 2.4. Lamport Timestamps
- Видео: 2.5. Vector Clocks
- Видео: Interview with Marcos Aguilera
- Lecture: Optional: Lamport Timestamps (Ukulele Version)
- Lecture: Homework 4 Instructions
- Demande de discussion: Homework 4 Discussion
- Lecture: Week 5 Overview
- Видео: 1.1. What is Global Snapshot?
- Видео: 1.2. Global Snapshot Algorithm
- Видео: 1.3. Consistent Cuts
- Видео: 1.4. Safety and Liveness
- Видео: 2.1. Multicast Ordering
- Видео: 2.2. Implementing Multicast Ordering 1
- Видео: 2.3. Implementing Multicast Ordering 2
- Видео: 2.4. Reliable Multicast
- Видео: 2.5. Virtual Synchrony
- Видео: 3.1. The Consensus Problem
- Видео: 3.2. Consensus In Synchronous Systems
- Видео: 3.3. Paxos, Simply
- Видео: 3.4. The FLP Proof [OPTIONAL]
- Видео: Interview with Tushar Chandra
- Lecture: Homework 5 Instructions
- Demande de discussion: Homework 5 Discussion
- Видео: Conclusion to Cloud Computing Concepts, Part 1
- Lecture: Final Exam Instructions
- Demande de discussion: Final Exam Discussion
- Demande de discussion: Final Reflection
Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.
Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.
Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.
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I wish there was a text book we could refer to. Also I wish there were more concepts from real world architectures as well :)This course is already great though
The coverage is good and there is a clear linkage of the concepts included in the beginning with the rest of the contents as they flow in - not just throughout this course, but also for the entire specialization. It would really help if the instructor would speak a little slowly (a bunch of words get garbled) and if the slides have lesser content (have more slides and redesign). That way, the instructor might not feel forced to talk so much per slide and the listening might be a little easy on the ear.
However, that does not take anything away from how that content is organized - that is good and takes you the flow rather well.
Best online course ever~~ Great appreciation to Indy
EB
The presentations are very good, some of the best I've seen in a video lecture series. With this in mind, there were lectures where I felt a bit more explanation would have helped me. For those I found additional external resources.
I enjoyed the programming assignment; but, the assignment uses too many different ways of storing the address. One consistent way should be chosen between the Node / Emulation Layer / Member, preferably a non-char packed approach (unless the address is always handled as a plain text string).