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Cloud Computing Concepts, Part 1
  • Level Foundation
  • المدة 23 ساعات hours
  • الطبع بواسطة University of Illinois Urbana-Champaign
  • Offered by

عن

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.

الوحدات

Orientation

    • 1 Videos
    • 3 Readings
    • 1 Quiz
    • 1 Plugin
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1 Videos

  • Introduction to Cloud Computing Concepts, Part 1

3 Readings

  • Orientation Overview
  • Syllabus
  • About the Discussion Forums

1 Quiz

  • Orientation Quiz

Basic Computer Science Fundamentals

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Prerequisite Quiz

1 Videos

  • Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals

1 Readings

  • Instructions for Taking the Prerequisite Quiz

Know Your Classmates

    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Getting to Know Your Classmates

1 Readings

  • Course Learning Community and Social Media

Week 1 Overview: Introduction to Clouds, MapReduce

    • 1 Videos
    • 1 Readings
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1 Videos

  • Week 1 Introduction

1 Readings

  • Week 1 Overview

Lesson 1: Introduction to Clouds

    • 6 Videos
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6 Videos

  • 1.1. Why Clouds?
  • 1.2. What is a Cloud?
  • 1.3. Introduction to Clouds: History
  • 1.4. Introduction to Clouds: What's New in Today's Clouds
  • 1.5. Introduction to Clouds: New Aspects of Clouds
  • 1.6. Introduction to Clouds: Economics of Clouds

Lesson 2: Clouds are Distributed Systems

    • 2 Videos
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2 Videos

  • 2.1. A cloud IS a distributed system
  • 2.2. What is a distributed system?

Lesson 3: MapReduce

    • 4 Videos
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4 Videos

  • 3.1. MapReduce Paradigm
  • 3.2. MapReduce Examples
  • 3.3. MapReduce Scheduling
  • 3.4. MapReduce Fault-Tolerance

Interview

    • 1 Videos
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1 Videos

  • Interview with Sumeet Singh

Homework

    • 1 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Homework 1

1 Discussions

  • Homework 1 Discussion

1 Readings

  • Homework 1 Instructions

Programming Assignment

    • 1 Readings
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1 Readings

  • Programming Assignment Instructions

Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Week 2 Introduction

1 Readings

  • Week 2 Overview

Lesson 1: Gossip

    • 4 Videos
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4 Videos

  • 1.1. Multicast Problem
  • 1.2. The Gossip Protocol
  • 1.3. Gossip Analysis
  • 1.4. Gossip Implementations

Lesson 2: Membership

    • 6 Videos
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6 Videos

  • 2.1. What is Group Membership List?
  • 2.2. Failure Detectors
  • 2.3. Gossip-Style Membership
  • 2.4. Which is the best failure detector?
  • 2.5. Another Probabilistic Failure Detector
  • 2.6. Dissemination and suspicion

Lesson 3: Grids

    • 2 Videos
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2 Videos

  • 3.1. Grid Applications
  • 3.2. Grid Infrastucture

Interview

    • 1 Videos
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1 Videos

  • Interview with William Gropp

Homework

    • 1 Readings
    • 1 Discussion
    • 1 Quiz
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1 Discussions

  • Homework 2 Discussion

1 Readings

  • Homework 2 Instructions

1 Quiz

  • Homework 2

Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Week 3 Introduction

1 Readings

  • Week 3 Overview

Lesson: P2P Systems

    • 8 Videos
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8 Videos

  • 1. P2P Systems Introduction
  • 2. Napster
  • 3. Gnutella
  • 4. FastTrack and BitTorrent
  • 5. Chord
  • 6. Failures in Chord
  • 7. Pastry
  • 8. Kelips

Interview

    • 1 Videos
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1 Videos

  • Blue Waters Supercomputer

Homework

    • 1 Readings
    • 1 Discussion
    • 1 Quiz
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1 Discussions

  • Homework 3 Discussion

1 Readings

  • Homework 3 Instructions

1 Quiz

  • Homework 3

Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Week 4 Introduction

1 Readings

  • Week 4 Overview

Lesson 1: Key-value stores

    • 5 Videos
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5 Videos

  • 1.1. Why Key-Value/NOSQL?
  • 1.2. Cassandra
  • 1.3. The Mystery of X-The Cap Theorem
  • 1.4. The Consistency Spectrum
  • 1.5. HBase

Lesson 2: Time and Ordering

    • 5 Videos
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5 Videos

  • 2.1. Introduction and Basics
  • 2.2. Cristian's Algorithm
  • 2.3. NTP
  • 2.4. Lamport Timestamps
  • 2.5. Vector Clocks

Interview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Interview with Marcos Aguilera

1 Readings

  • Optional: Lamport Timestamps (Ukulele Version)

Homework

    • 1 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Homework 4

1 Discussions

  • Homework 4 Discussion

1 Readings

  • Homework 4 Instructions

Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Week 5 Introduction

1 Readings

  • Week 5 Overview

Lesson 1: Snapshots

    • 4 Videos
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4 Videos

  • 1.1. What is Global Snapshot?
  • 1.2. Global Snapshot Algorithm
  • 1.3. Consistent Cuts
  • 1.4. Safety and Liveness

Lesson 2: Multicast

    • 5 Videos
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5 Videos

  • 2.1. Multicast Ordering
  • 2.2. Implementing Multicast Ordering 1
  • 2.3. Implementing Multicast Ordering 2
  • 2.4. Reliable Multicast
  • 2.5. Virtual Synchrony

Lesson 3: Paxos

    • 4 Videos
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4 Videos

  • 3.1. The Consensus Problem
  • 3.2. Consensus In Synchronous Systems
  • 3.3. Paxos, Simply
  • 3.4. The FLP Proof [OPTIONAL]

Interview

    • 1 Videos
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1 Videos

  • Interview with Tushar Chandra

Homework

    • 1 Readings
    • 1 Discussion
    • 1 Quiz
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1 Discussions

  • Homework 5 Discussion

1 Readings

  • Homework 5 Instructions

1 Quiz

  • Homework 5

Programming Assignment

    • 1 Readings
    • 1 Programming
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1 Programming

  • Gossip Protocol

1 Readings

  • IMPORTANT Update notes for Gossip Protocol submission (Oct 24, 2019)

Conclusion

    • 1 Videos
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1 Videos

  • Conclusion to Cloud Computing Concepts, Part 1

Final Exam

    • 1 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Final Exam

1 Discussions

  • Final Exam Discussion

1 Readings

  • Final Exam Instructions

Final Reflection

    • 1 Discussion
    • 1 Plugin
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1 Discussions

  • Final Reflection

Auto Summary

Explore the essential concepts of cloud computing and distributed systems with "Cloud Computing Concepts, Part 1" by Coursera. This foundational IT & Computer Science course, led by expert instructors, covers key topics like MapReduce, NoSQL stores, and scalability. With 1380 minutes of content, hands-on C++ assignments, and insights from industry leaders, it's perfect for learners with C++ experience looking to deepen their understanding of cloud technologies. Available through Starter subscriptions.

Indranil Gupta
Instructor

Indranil Gupta