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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Cloud Computing
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Spezialisierung Cloud ComputingUniversity of Illinois at Urbana-ChampaignÃœber diesen Kurs
40.601 kürzliche Aufrufe
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Kurs 2 von 6 in
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Englisch, Spanisch
Kompetenzen, die Sie erwerben
- Distributed Computing
- C++
- Cloud Computing
- NoSQL
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100Â % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 2 von 6 in
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Englisch, Spanisch
von
University of Illinois at 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.
Lehrplan - Was Sie in diesem Kurs lernen werden
5 Stunden zum Abschließen
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.
5 Stunden zum Abschließen
11 Videos (Gesamt 122 min), 7 Lektüren, 2 Quiz
3 Stunden zum Abschließen
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.
3 Stunden zum Abschließen
8 Videos (Gesamt 95 min), 2 Lektüren, 1 Quiz
3 Stunden zum Abschließen
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 Stunden zum Abschließen
9 Videos (Gesamt 110 min), 2 Lektüren, 1 Quiz
3 Stunden zum Abschließen
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 Stunden zum Abschließen
6 Videos (Gesamt 109 min), 2 Lektüren, 1 Quiz
Bewertungen
- 5 stars68,47Â %
- 4 stars24,52Â %
- 3 stars4,14Â %
- 2 stars0,95Â %
- 1 star1,91Â %
Top-Bewertungen von CLOUD COMPUTING CONCEPTS: PART 2
von MM31. März 2018
Awesome class for software engineers. If you haven't take it in college, or need a refresher, this is a great way to do so.
von RF9. Nov. 2017
I think it is perfect. Excellent theory, excelent teachers, interesting topics well understood and well explained
von HG14. Apr. 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.
von AL30. Jan. 2020
Programming assignment is very immature. I've encountered few segfaults (in provided code, not mine). But the rest is good
Ãœber den Spezialisierung 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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