Acerca de este Curso
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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

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Nivel principiante

Aprox. 38 horas para completar

Sugerido: 5 weeks of study, 5 - 10 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Distributed AlgorithmDistributed ComputingC++Cloud Computing

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 38 horas para completar

Sugerido: 5 weeks of study, 5 - 10 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
6 horas para completar

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.

...
16 videos (Total 155 minutos), 8 readings, 3 quizzes
16 videos
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23m
Week 1 Introduction1m
1.1. Why Clouds?6m
1.2. What is a Cloud?5m
1.3. Introduction to Clouds: History7m
1.4. Introduction to Clouds: What's New in Today's Clouds7m
1.5. Introduction to Clouds: New Aspects of Clouds8m
1.6. Introduction to Clouds: Economics of Clouds7m
2.1. A cloud IS a distributed system5m
2.2. What is a distributed system?16m
3.1. MapReduce Paradigm14m
3.2. MapReduce Examples10m
3.3. MapReduce Scheduling12m
3.4. MapReduce Fault-Tolerance8m
Interview with Sumeet Singh16m
8 lecturas
Orientation Overview10m
Syllabus10m
About the Discussion Forums10m
Instructions for Taking the Prerequisite Quiz10m
Course Learning Community and Social Media10m
Week 1 Overview10m
Homework 1 Instructions10m
Programming Assignment Instructions10m
3 ejercicios de práctica
Orientation Quiz10m
Prerequisite Quiz50m
Homework 114m
Semana
2
3 horas para completar

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.

...
14 videos (Total 122 minutos), 2 readings, 1 quiz
14 videos
1.1. Multicast Problem9m
1.2. The Gossip Protocol5m
1.3. Gossip Analysis15m
1.4. Gossip Implementations4m
2.1. What is Group Membership List?8m
2.2. Failure Detectors9m
2.3. Gossip-Style Membership7m
2.4. Which is the best failure detector?4m
2.5. Another Probabilistic Failure Detector9m
2.6. Dissemination and suspicion8m
3.1. Grid Applications6m
3.2. Grid Infrastucture11m
Interview with William Gropp20m
2 lecturas
Week 2 Overview10m
Homework 2 Instructions10m
1 ejercicio de práctica
Homework 212m
Semana
3
3 horas para completar

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.

...
10 videos (Total 105 minutos), 2 readings, 1 quiz
10 videos
1. P2P Systems Introduction5m
2. Napster7m
3. Gnutella20m
4. FastTrack and BitTorrent7m
5. Chord22m
6. Failures in Chord14m
7. Pastry6m
8. Kelips10m
Blue Waters Supercomputer9m
2 lecturas
Week 3 Overview10m
Homework 3 Instructions10m
1 ejercicio de práctica
Homework 328m
Semana
4
4 horas para completar

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.

...
12 videos (Total 147 minutos), 3 readings, 1 quiz
12 videos
1.1. Why Key-Value/NOSQL?15m
1.2. Cassandra27m
1.3. The Mystery of X-The Cap Theorem19m
1.4. The Consistency Spectrum9m
1.5. HBase10m
2.1. Introduction and Basics10m
2.2. Cristian's Algorithm5m
2.3. NTP4m
2.4. Lamport Timestamps14m
2.5. Vector Clocks12m
Interview with Marcos Aguilera14m
3 lecturas
Week 4 Overview10m
Optional: Lamport Timestamps (Ukulele Version)10m
Homework 4 Instructions10m
1 ejercicio de práctica
Homework 450m
4.5
171 revisionesChevron Right

20%

comenzó una nueva carrera después de completar estos cursos

14%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Cloud Computing Concepts, Part 1

por MRJul 16th 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.

por DPOct 7th 2016

This instructor is fantastic. He is exceptionally thorough and his delivery is very good as well. This is a course definitely worth taking if you are interested in learning more about the cloud.

Instructor

Avatar

Indranil Gupta

Professor
Department of Computer Science

Comienza a trabajar para obtener tu maestría

Este curso es parte del Master in Computer Science completamente en línea de Universidad de Illinois en Urbana-Champaign. Si eres aceptado en el programa completo, tus cursos cuentan para tu título.

Acerca de Universidad de Illinois en 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. ...

Acerca del programa especializado Informática en la nube

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. The first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
Informática en la nube

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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