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Cloud Computing

Module name (EN): Cloud Computing
Degree programme: Applied Informatics, Bachelor, ASPO 01.10.2017
Module code: PIB-CCOM
Hours per semester week / Teaching method: 2V+2PA (4 hours per week)
ECTS credits: 5
Semester: 6
Mandatory course: no
Language of instruction:
German
Assessment:
Curricular relevance:
KI699 Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014, semester 6, optional course, technical
KIB-CCOM Computer Science and Communication Systems, Bachelor, ASPO 01.10.2017, semester 6, optional course, technical
PIBWI18 Applied Informatics, Bachelor, ASPO 01.10.2011, semester 6, optional course, informatics specific
PIB-CCOM Applied Informatics, Bachelor, ASPO 01.10.2017, semester 6, optional course, informatics specific
Workload:
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Markus Esch
Lecturer: Prof. Dr. Markus Esch

[updated 29.03.2017]
Learning outcomes:
After successfully completing this module, students will be able to name the basic concepts and service models of cloud computing. They will be able to explain the technological foundations of cloud computing and describe modern architectures.
 
Students will be able to describe advantages and disadvantages, as well as differences to traditional server-based applications, especially in terms of scalability and availability, and will be able to recognize the relationship between architecture and scalability.
 
Within the framework of a project, students will learn how to work together in small groups and will be able to design and implement scalable cloud-based applications.


[updated 24.02.2018]
Module content:
1. Cloud computing architectures, concepts and technologies
   - IaaS, PaaS, SaaS
   - distributed key-value stores
   - distributed file systems
   - distributed hash tables
   - gossiping
   - load balancing
   - consistency
   - error tolerance
   - microservices
2. Cloud computing from a developer´s perspective
   - developing cloud-based applications
   - tools and procedures


[updated 24.02.2018]
Teaching methods/Media:
Lecture slides, annotated lecture slides as a script, program examples, project work


[updated 24.02.2018]
Recommended or required reading:
Christoph Fehling, Frank Leymann, Ralph Retter, Walter Schupeck, Peter Arbitter: Cloud Computing Patterns: Fundamentals to Design, Build, and Manage Cloud Applications, Springer, 2014
 
Kenneth P Birman: Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-Hosted Services, Springer, 2012
 
Thomas Erl: Cloud Computing: Concepts, Technology & Architecture, Prentice Hall, 2013
 
Thomas Erl and Robert Cope: Cloud Computing Design Patterns, Prentice Hall, 2015
 
Irakli Nadareishvili, Ronnie Mitra, Matt McLarty, Mike Amundsen: Microservice Architecture: Aligning Principles, Practices, and Culture, O_Reilly, 2016


[updated 24.02.2018]
[Mon Jul 22 22:52:29 CEST 2019, CKEY=pcc, BKEY=pi2, CID=PIB-CCOM, LANGUAGE=en, DATE=22.07.2019]