À propos de ce cours : 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.
Les destinataires de ce cours : 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).
Enseigné par : Indranil Gupta, Professor
Department of Computer Science
| Informations de base | Cours 1 de 6 dans Cloud Computing Specialization |
| Niveau | Débutant |
| Engagement | 5 weeks of study, 5 - 10 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
- Leyendo: Orientation Overview
- Leyendo: Syllabus
- Leyendo: About the Discussion Forums
- Cuestionario de práctica: Orientation Quiz
- Vidéo: Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals
- Leyendo: Instructions for Taking the Prerequisite Quiz
- Cuestionario de práctica: Prerequisite Quiz
- Cuadro de aviso de la discusión: Getting to Know Your Classmates
- Leyendo: Course Learning Community and Social Media
- Leyendo: Week 1 Overview
- Vidéo: Week 1 Introduction
- Vidéo: 1.1. Why Clouds?
- Vidéo: 1.2. What is a Cloud?
- Vidéo: 1.3. Introduction to Clouds: History
- Vidéo: 1.4. Introduction to Clouds: What's New in Today's Clouds
- Vidéo: 1.5. Introduction to Clouds: New Aspects of Clouds
- Vidéo: 1.6. Introduction to Clouds: Economics of Clouds
- Vidéo: 2.1. A cloud IS a distributed system
- Vidéo: 2.2. What is a distributed system?
- Vidéo: 3.1. MapReduce Paradigm
- Vidéo: 3.2. MapReduce Examples
- Vidéo: 3.3. MapReduce Scheduling
- Vidéo: 3.4. MapReduce Fault-Tolerance
- Vidéo: Interview with Sumeet Singh
- Leyendo: Homework 1 Instructions
- Cuadro de aviso de la discusión: Homework 1 Discussion
- Leyendo: Programming Assignment Instructions
- Leyendo: Week 2 Overview
- Vidéo: 1.1. Multicast Problem
- Vidéo: 1.2. The Gossip Protocol
- Vidéo: 1.3. Gossip Analysis
- Vidéo: 1.4. Gossip Implementations
- Vidéo: 2.1. What is Group Membership List?
- Vidéo: 2.2. Failure Detectors
- Vidéo: 2.3. Gossip-Style Membership
- Vidéo: 2.4. Which is the best failure detector?
- Vidéo: 2.5. Another Probabilistic Failure Detector
- Vidéo: 2.6. Dissemination and suspicion
- Vidéo: 3.1. Grid Applications
- Vidéo: 3.2. Grid Infrastucture
- Vidéo: Interview with William Gropp
- Leyendo: Homework 2 Instructions
- Cuadro de aviso de la discusión: Homework 2 Discussion
- Leyendo: Week 3 Overview
- Vidéo: 1. P2P Systems Introduction
- Vidéo: 2. Napster
- Vidéo: 3. Gnutella
- Vidéo: 4. FastTrack and BitTorrent
- Vidéo: 5. Chord
- Vidéo: 6. Failures in Chord
- Vidéo: 7. Pastry
- Vidéo: 8. Kelips
- Vidéo: Blue Waters Supercomputer
- Leyendo: Homework 3 Instructions
- Cuadro de aviso de la discusión: Homework 3 Discussion
- Leyendo: Week 4 Overview
- Vidéo: 1.1. Why Key-Value/NOSQL?
- Vidéo: 1.2. Cassandra
- Vidéo: 1.3. The Mystery of X-The Cap Theorem
- Vidéo: 1.4. The Consistency Spectrum
- Vidéo: 1.5. HBase
- Vidéo: 2.1. Introduction and Basics
- Vidéo: 2.2. Cristian's Algorithm
- Vidéo: 2.3. NTP
- Vidéo: 2.4. Lamport Timestamps
- Vidéo: 2.5. Vector Clocks
- Vidéo: Interview with Marcos Aguilera
- Leyendo: Optional: Lamport Timestamps (Ukulele Version)
- Leyendo: Homework 4 Instructions
- Cuadro de aviso de la discusión: Homework 4 Discussion
- Leyendo: Week 5 Overview
- Vidéo: 1.1. What is Global Snapshot?
- Vidéo: 1.2. Global Snapshot Algorithm
- Vidéo: 1.3. Consistent Cuts
- Vidéo: 1.4. Safety and Liveness
- Vidéo: 2.1. Multicast Ordering
- Vidéo: 2.2. Implementing Multicast Ordering 1
- Vidéo: 2.3. Implementing Multicast Ordering 2
- Vidéo: 2.4. Reliable Multicast
- Vidéo: 2.5. Virtual Synchrony
- Vidéo: 3.1. The Consensus Problem
- Vidéo: 3.2. Consensus In Synchronous Systems
- Vidéo: 3.3. Paxos, Simply
- Vidéo: 3.4. The FLP Proof [OPTIONAL]
- Vidéo: Interview with Tushar Chandra
- Leyendo: Homework 5 Instructions
- Cuadro de aviso de la discusión: Homework 5 Discussion
- Vidéo: Conclusion to Cloud Computing Concepts, Part 1
- Leyendo: Final Exam Instructions
- Cuadro de aviso de la discusión: Final Exam Discussion
- Cuadro de aviso de la discusión: Final Reflection
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
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