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.
Este curso forma parte de Programa Especializado - Informática en la nube
ofrecido por
Programa Especializado - Informática en la nubeUniversidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 6 en
Fechas límite flexibles
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Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
Habilidades que obtendrás
Distributed ComputingC++Cloud ComputingNoSQL
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 6 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
ofrecido por
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.
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.
Programa - Qué aprenderás en este curso
4 horas para completar
Week 1: Course Orientation and Classical Distributed Algorithms Continued
Lesson 1: To coordinate machines in a distributed system, this module first looks at classical algorithms for electing a leader, including the Ring algorithm and Bully algorithm. We also cover how Google’s Chubby and Apache Zookeeper solve leader election. Lesson 2: This module covers solutions to the problem of mutual exclusion, which is important for correctness in distributed systems with shared resources. We cover classical algorithms, including Ricart-Agrawala’s algorithm and Maekawa’s algorithm. We also cover Google’s Chubby support for mutual exclusion.
4 horas para completar
11 videos (Total 122 minutos), 7 lecturas, 2 cuestionarios
11 videos
Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals23m
Week 1 Introduction1m
1.1. The Election Problem8m
1.2. Ring Leader Election14m
1.3. Election in Chubby and ZooKeeper9m
1.4. Bully Algorithm9m
2.1. Introduction and Basics12m
2.2. Distributed Mutual Exclusion10m
2.3. Ricart-Agrawala's Algorithm11m
2.4. Maekawa's Algorithm and Wrap-Up16m
7 lecturas
Orientation Overview10m
Syllabus10m
About the Discussion Forums10m
Course Learning Community and Social Media10m
Week 1 Overview10m
Homework 1 Instructions10m
Programming Assignment Instructions10m
2 ejercicios de práctica
Orientation Quiz10m
Homework 120m
2 horas para completar
Week 2: Concurrency and Replication Control
Lesson 1: Transactions are an important component of many cloud systems today. This module presents building blocks to ensure transactions work as intended, from Remote Procedure Calls (RPCs), to serial equivalence for transactions, to optimistic and pessimistic approaches to concurrency control, to deadlock avoidance/prevention. Lesson 2: This module covers how replication – maintaining copies of the same data at different locations – is used to provide many nines of availability in distributed systems, as well as different techniques for replication and for ensuring transactions commit correctly in spite of replication.
2 horas para completar
8 videos (Total 95 minutos), 2 lecturas, 1 cuestionario
8 videos
1.1. RPCs17m
1.2. Transactions13m
1.3. Serial Equivalence12m
1.4. Pessimistic Concurrency13m
1.5. Optimistic Concurrency Control9m
2.1. Replication14m
2.2. Two-Phase Commit11m
2 lecturas
Week 2 Overview10m
Homework 2 Instructions10m
1 ejercicio de práctica
Homework 230m
3 horas para completar
Week 3: Emerging Paradigms
Lesson 1: We study the emerging area of stream processing, touching on key design aspects of Apache Storm. Lesson 2: We study how enormous graphs can be processed in clouds. Lesson 3: We study various types of networks/graphs that are both natural and artificial, and their surprising commonalities. Lesson 4: This module presents classical scheduling algorithms that have been used in operating systems since the inception of computers. We then cover two popular scheduling algorithms for Hadoop.
3 horas para completar
9 videos (Total 110 minutos), 2 lecturas, 1 cuestionario
9 videos
Stream Processing in Storm15m
Distributed Graph Processing16m
Structure of Networks21m
4.1. Single-processor Scheduling11m
4.2. Hadoop Scheduling11m
4.3. Dominant-Resource Fair Scheduling8m
Storm Demo 9m
Apache Spark by Faria Kalim12m
2 lecturas
Week 3 Overview10m
Homework 3 Instructions10m
1 ejercicio de práctica
Homework 330m
3 horas para completar
Week 4: Classical Systems
Lesson 1: When files and directories are stored/accessed over the network, it is called a distributed file system. This module covers the working of distributed file systems like NFS and AFS. Lesson 2: This module covers Distributed Shared Memory systems, their techniques, and pros/cons. Lesson 3: This module looks at the area of sensor networks, starting from what’s inside a sensor mote and how networks of them work.
3 horas para completar
6 videos (Total 109 minutos), 2 lecturas, 1 cuestionario
6 videos
1.1. File System Abstraction23m
1.2. NFS and AFS14m
Distributed Shared Memory17m
Sensor and Their Networks30m
Interview with Brighten Godfrey23m
2 lecturas
Week 4 Overview10m
Homework 4 Instructions10m
1 ejercicio de práctica
Homework 420m
Revisiones
Principales revisiones sobre CLOUD COMPUTING CONCEPTS: PART 2
por MR15 de jul. de 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 TC2 de jul. de 2017
Good, but not a fan of using C++ and that made the programming assignment tricky, especially since can only chnage a few things and the provided code is not always very well explained.
por AK12 de jul. de 2018
I couldn't quite appreciate the utility of topics like sensor networks or structure of networks. Other than that, the course was fine and the programming assignment was interesting.
por HG14 de abr. de 2017
Just the same as the first course. Medium-hard quizzes and a hard programming assigment that is actually harder to understand than to develop. Overall a five star course.
Acerca de 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.
Preguntas Frecuentes
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- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
¿Qué recibiré si me suscribo a este Programa especializado?
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.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Hay ayuda económica disponible?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
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