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 | Course 1 of 6 in the Cloud Computing Specialization |
| Уровень | Beginner |
| Выполнение | 5 weeks of study, 5 - 10 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Leyendo: Orientation Overview
- Видео: Introduction to Cloud Computing Concepts, Part 1
- Leyendo: Syllabus
- Leyendo: About the Discussion Forums
- Cuestionario de práctica: Orientation Quiz
- Видео: 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
- 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
- Leyendo: Homework 1 Instructions
- Cuadro de aviso de la discusión: Homework 1 Discussion
- Leyendo: Programming Assignment Instructions
- Leyendo: Week 2 Overview
- Видео: Week 2 Introduction
- 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
- Leyendo: Homework 2 Instructions
- Cuadro de aviso de la discusión: Homework 2 Discussion
- Leyendo: Week 3 Overview
- Видео: Week 3 Introduction
- 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
- Leyendo: Homework 3 Instructions
- Cuadro de aviso de la discusión: Homework 3 Discussion
- Leyendo: Week 4 Overview
- Видео: Week 4 Introduction
- 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
- Leyendo: Optional: Lamport Timestamps (Ukulele Version)
- Leyendo: Homework 4 Instructions
- Cuadro de aviso de la discusión: Homework 4 Discussion
- Leyendo: Week 5 Overview
- Видео: Week 5 Introduction
- 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
- Leyendo: Homework 5 Instructions
- Cuadro de aviso de la discusión: Homework 5 Discussion
- Видео: 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.
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| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
I'm really enjoying this course. The topics discussed by professor are interesting and build the base to understand many current systems we use nowadays.
Very very tough class. The notes are very intensive for each lecture.
An excellent course to start with Cloud Computing
I like this class, although the last homework and the final project need to be refined.