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
Résultats de carrière des étudiants
12%
ont commencé une nouvelle carrière après avoir terminé ce cours
22%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
25%
a obtenu une augmentation de salaire ou une promotion
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Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
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Niveau débutant
Approx. 23 heures pour terminer
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Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Coréen, Allemand, Russe, Anglais, Espagnol
Compétences que vous acquerrez
Distributed AlgorithmDistributed ComputingC++Cloud Computing
Résultats de carrière des étudiants
12%
ont commencé une nouvelle carrière après avoir terminé ce cours
22%
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 : Arabe, Français, Portugais (européen), Italien, Vietnamien, Coréen, Allemand, 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
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
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
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
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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