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.
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Spécialisation Cloud ComputingUniversité de l'Illinois à Urbana-ChampaignÀ propos de ce cours
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Sous-titres : Français, Portugais (brésilien), Coréen, Russe, Anglais, Espagnol
Compétences que vous acquerrez
Distributed AlgorithmDistributed ComputingC++Cloud Computing
Résultats de carrière des étudiants
14%
ont commencé une nouvelle carrière après avoir terminé ce cours
25%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
25%
a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 6 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 23 heures pour terminer
Anglais
Sous-titres : Français, Portugais (brésilien), Coréen, Russe, Anglais, Espagnol
Offert par
Université de l'Illinois à Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Programme du cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
Week 1: Orientation, Introduction to Clouds, MapReduce
This course is oriented towards learners with similar backgrounds as juniors and seniors in a CS undergraduate curriculum. Since learners come from various backgrounds, it is critical you view this lecture AND pass the prerequisite test. This will ensure you have many of the assumed prerequisite pieces of knowledge required to enjoy this course.
6 heures pour terminer
16 vidéos (Total 155 min), 8 lectures, 3 quiz
16 vidéos
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23 min
Week 1 Introduction1 min
1.1. Why Clouds?6 min
1.2. What is a Cloud?5 min
1.3. Introduction to Clouds: History7 min
1.4. Introduction to Clouds: What's New in Today's Clouds7 min
1.5. Introduction to Clouds: New Aspects of Clouds8 min
1.6. Introduction to Clouds: Economics of Clouds7 min
2.1. A cloud IS a distributed system5 min
2.2. What is a distributed system?16 min
3.1. MapReduce Paradigm14 min
3.2. MapReduce Examples10 min
3.3. MapReduce Scheduling12 min
3.4. MapReduce Fault-Tolerance8 min
Interview with Sumeet Singh16 min
8 lectures
Orientation Overview10 min
Syllabus10 min
About the Discussion Forums10 min
Instructions for Taking the Prerequisite Quiz10 min
Course Learning Community and Social Media10 min
Week 1 Overview10 min
Homework 1 Instructions10 min
Programming Assignment Instructions10 min
3 exercices pour s'entraîner
Orientation Quiz30 min
Prerequisite Quiz30 min
Homework 130 min
3 heures pour terminer
Week 2: Gossip, Membership, and Grids
Lesson 1: This module teaches how the multicast problem is solved by using epidemic/gossip protocols. It also teaches analysis of such protocols. Lesson 2: This module covers the design of failure detectors, a key component in any distributed system. Membership protocols, which use failure detectors as components, are also covered. Lesson 3: This module covers Grid computing, an important precursor to cloud computing.
3 heures pour terminer
14 vidéos (Total 122 min), 2 lectures, 1 quiz
14 vidéos
Week 2 Introduction1 min
1.1. Multicast Problem9 min
1.2. The Gossip Protocol5 min
1.3. Gossip Analysis15 min
1.4. Gossip Implementations4 min
2.1. What is Group Membership List?8 min
2.2. Failure Detectors9 min
2.3. Gossip-Style Membership7 min
2.4. Which is the best failure detector?4 min
2.5. Another Probabilistic Failure Detector9 min
2.6. Dissemination and suspicion8 min
3.1. Grid Applications6 min
3.2. Grid Infrastucture11 min
Interview with William Gropp20 min
2 lectures
Week 2 Overview10 min
Homework 2 Instructions10 min
1 exercice pour s'entraîner
Homework 230 min
3 heures pour terminer
Week 3: P2P Systems
P2P systems: This module teaches the detailed design of two classes of peer to peer systems: (a) popular ones including Napster, Gnutella, FastTrack, and BitTorrent; and (b) efficient ones including distributed hash tables (Chord, Pastry, and Kelips). Besides focusing on design, the module also analyzes these systems in detail.
3 heures pour terminer
10 vidéos (Total 105 min), 2 lectures, 1 quiz
10 vidéos
Week 3 Introduction1 min
1. P2P Systems Introduction5 min
2. Napster7 min
3. Gnutella20 min
4. FastTrack and BitTorrent7 min
5. Chord22 min
6. Failures in Chord14 min
7. Pastry6 min
8. Kelips10 min
Blue Waters Supercomputer9 min
2 lectures
Week 3 Overview10 min
Homework 3 Instructions10 min
1 exercice pour s'entraîner
Homework 330 min
4 heures pour terminer
Week 4: Key-Value Stores, Time, and Ordering
Lesson 1: This module motivates and teaches the design of key-value/NoSQL storage/database systems. We cover the design of two major industry systems: Apache Cassandra and HBase. We also cover the famous CAP theorem. Lesson 2: Distributed systems are asynchronous, which makes clocks at different machines hard to synchronize. This module first covers various clock synchronization algorithms, and then covers ways of tagging events with causal timestamps that avoid synchronizing clocks. These classical algorithms were invented decades ago, yet are used widely in today’s cloud systems.
4 heures pour terminer
12 vidéos (Total 147 min), 3 lectures, 1 quiz
12 vidéos
Week 4 Introduction2 min
1.1. Why Key-Value/NOSQL?15 min
1.2. Cassandra27 min
1.3. The Mystery of X-The Cap Theorem19 min
1.4. The Consistency Spectrum9 min
1.5. HBase10 min
2.1. Introduction and Basics10 min
2.2. Cristian's Algorithm5 min
2.3. NTP4 min
2.4. Lamport Timestamps14 min
2.5. Vector Clocks12 min
Interview with Marcos Aguilera14 min
3 lectures
Week 4 Overview10 min
Optional: Lamport Timestamps (Ukulele Version)10 min
Homework 4 Instructions10 min
1 exercice pour s'entraîner
Homework 430 min
Avis
Meilleurs avis pour CLOUD COMPUTING CONCEPTS, PART 1
par VT21 août 2016
Very useful course. It built my Cloud Computing basis from scratch. Fisrt course gives me the enthusiasm to start the later ones. A good place for studying and sharing with course mates. Thank you!
par LG6 oct. 2020
Solid distributed systems' fundamentals class. The programming assignment was really evaluating my reverse and software engineering skills rather than my grasp of distributed systems' fundamentals
par KP5 déc. 2016
Great lectures. However, the starter code for the programming assignment is quite atrocious. Overall, would highly recommend to anyone wanting to learn high level concepts in distributed systems.
par MR15 juil. 2017
Great course, I would recommend to everyone who wants to understand the basics of cloud computing. The course material is excellent, the instructor Indy is phenomenal and the exams are marvelous.
À propos du Spécialisation Cloud Computing
The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.
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