htw saar QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag


Cloud Computing

Module name (EN):
Name of module in study programme. It should be precise and clear.
Cloud Computing
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Production Informatics, Bachelor, SO 01.10.2023
Module code: PRI-CCOM
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2PA (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 4
Mandatory course: no
Language of instruction:
German
Assessment:


[still undocumented]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI699 Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 6, optional course, technical
KIB-CCOM (P221-0066) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 6, optional course, technical
KIB-CCOM (P221-0066) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 6, optional course, technical
PIBWI18 Applied Informatics, Bachelor, ASPO 01.10.2011 , semester 6, optional course, informatics specific
PIB-CCOM (P221-0066, P221-0181) Applied Informatics, Bachelor, ASPO 01.10.2022 , semester 4, optional course, informatics specific
PRI-CCOM Production Informatics, Bachelor, SO 01.10.2023 , semester 4, optional course, informatics specific
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
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 03.12.2024]
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]
 
[Thu Dec 26 16:36:20 CET 2024, CKEY=pcc, BKEY=pri, CID=PRI-CCOM, LANGUAGE=en, DATE=26.12.2024]