Informações sobre o curso: 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.
Para quem é direcionado este curso: 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).
Ministrado por: Indranil Gupta, Professor
Department of Computer Science
| Informações básicas | Curso 1 de 6 no Cloud Computing Specialization |
| Nível | Básico |
| Compromisso | 5 weeks of study, 5 - 10 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
- Lecture: Orientation Overview
- Lecture: Syllabus
- Lecture: About the Discussion Forums
- Quiz pour s'exercer: Orientation Quiz
- Vídeo: 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
- Vídeo: Week 1 Introduction
- Vídeo: 1.1. Why Clouds?
- Vídeo: 1.2. What is a Cloud?
- Vídeo: 1.3. Introduction to Clouds: History
- Vídeo: 1.4. Introduction to Clouds: What's New in Today's Clouds
- Vídeo: 1.5. Introduction to Clouds: New Aspects of Clouds
- Vídeo: 1.6. Introduction to Clouds: Economics of Clouds
- Vídeo: 2.1. A cloud IS a distributed system
- Vídeo: 2.2. What is a distributed system?
- Vídeo: 3.1. MapReduce Paradigm
- Vídeo: 3.2. MapReduce Examples
- Vídeo: 3.3. MapReduce Scheduling
- Vídeo: 3.4. MapReduce Fault-Tolerance
- Vídeo: Interview with Sumeet Singh
- Lecture: Homework 1 Instructions
- Demande de discussion: Homework 1 Discussion
- Lecture: Programming Assignment Instructions
- Lecture: Week 2 Overview
- Vídeo: 1.1. Multicast Problem
- Vídeo: 1.2. The Gossip Protocol
- Vídeo: 1.3. Gossip Analysis
- Vídeo: 1.4. Gossip Implementations
- Vídeo: 2.1. What is Group Membership List?
- Vídeo: 2.2. Failure Detectors
- Vídeo: 2.3. Gossip-Style Membership
- Vídeo: 2.4. Which is the best failure detector?
- Vídeo: 2.5. Another Probabilistic Failure Detector
- Vídeo: 2.6. Dissemination and suspicion
- Vídeo: 3.1. Grid Applications
- Vídeo: 3.2. Grid Infrastucture
- Vídeo: Interview with William Gropp
- Lecture: Homework 2 Instructions
- Demande de discussion: Homework 2 Discussion
- Lecture: Week 3 Overview
- Vídeo: 1. P2P Systems Introduction
- Vídeo: 2. Napster
- Vídeo: 3. Gnutella
- Vídeo: 4. FastTrack and BitTorrent
- Vídeo: 5. Chord
- Vídeo: 6. Failures in Chord
- Vídeo: 7. Pastry
- Vídeo: 8. Kelips
- Vídeo: Blue Waters Supercomputer
- Lecture: Homework 3 Instructions
- Demande de discussion: Homework 3 Discussion
- Lecture: Week 4 Overview
- Vídeo: 1.1. Why Key-Value/NOSQL?
- Vídeo: 1.2. Cassandra
- Vídeo: 1.3. The Mystery of X-The Cap Theorem
- Vídeo: 1.4. The Consistency Spectrum
- Vídeo: 1.5. HBase
- Vídeo: 2.1. Introduction and Basics
- Vídeo: 2.2. Cristian's Algorithm
- Vídeo: 2.3. NTP
- Vídeo: 2.4. Lamport Timestamps
- Vídeo: 2.5. Vector Clocks
- Vídeo: Interview with Marcos Aguilera
- Lecture: Optional: Lamport Timestamps (Ukulele Version)
- Lecture: Homework 4 Instructions
- Demande de discussion: Homework 4 Discussion
- Lecture: Week 5 Overview
- Vídeo: 1.1. What is Global Snapshot?
- Vídeo: 1.2. Global Snapshot Algorithm
- Vídeo: 1.3. Consistent Cuts
- Vídeo: 1.4. Safety and Liveness
- Vídeo: 2.1. Multicast Ordering
- Vídeo: 2.2. Implementing Multicast Ordering 1
- Vídeo: 2.3. Implementing Multicast Ordering 2
- Vídeo: 2.4. Reliable Multicast
- Vídeo: 2.5. Virtual Synchrony
- Vídeo: 3.1. The Consensus Problem
- Vídeo: 3.2. Consensus In Synchronous Systems
- Vídeo: 3.3. Paxos, Simply
- Vídeo: 3.4. The FLP Proof [OPTIONAL]
- Vídeo: Interview with Tushar Chandra
- Lecture: Homework 5 Instructions
- Demande de discussion: Homework 5 Discussion
- Vídeo: 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.
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Exceptional Course - well worth the effort! I come back to the course everytime I need a refresher.
Thank you.
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).
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
PH
This course is real as real gets. :D