TU Wien:Energy-Efficient Distributed Systems VU (Brandic)

Daten

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Vortragende	[tiss.person:51423 Brandic, Ivona], [tiss.person:298062 Lujic, Ivan]
ECTS	3 / 4,5
Sprache	English
Links	tiss:194049 , Homepage

Zuordnungen

Masterstudium Data Science

Inhalt

2022S

8 lectures held by three lecturers:

• Introduction to energy-efficient distributed systems
• Taxonomy on energy-efficient systems
• Autonomic cloud management
• Current forms of distributed systems
• Fuzzy hand-off control
• Code offloading
• Geo-temporal conditions
• Controller design for clouds

+ another lecture where the assignment is introduced

Ablauf

2022S

• Lecture part: oral exam at the end of the semester (see below)
• Exercise part: Assignment (semester project) to be done in groups of 3

Benötigte/Empfehlenswerte Vorkenntnisse

2022S

• Programming skills
• At least basic knowledge about Statistical Learning/Machine Learning

Vortrag

2022S

The majority of slide decks (and thus also the covered material) are a compilation of research papers.

Übungen

2022S

Semester project to be done in groups of 3: Energy-aware scheduling of virtual machines using the GWA-T-12 Bitbrains fastStorage dataset (http://gwa.ewi.tudelft.nl/datasets/gwa-t-12-bitbrains). Students were free to choose their preferred programming language and libraries/frameworks.

Overall tasks:

• Find a suitable technique to predict the CPU utilization of virtual machines (e.g., regression models, time series models, LSTM, ...)

• Implement 2 given algorithms + one own algorithm for energy-aware scheduling of virtual machines
• Write a program to simulate the scheduling of virtual machines on physical machines and compare the energy consumption of the scheduling algorithms
• Summarize your findings in a report.

The progress of the project has to be presented during the semester (2 intermediate presentations) + a final presentation at the end of the semester.

Prüfung, Benotung

2022S

50% oral exam, 50% exercise part

Oral exam is done in slots, 4 students in each slot. 3 questions per student:

1. Question about the exercise part
2. Question about the lecture part
3. Question on a research paper (the research paper is assigned on a per-slot basis ~1 week in advance)

Selection of assigned research papers:

• https://dl.acm.org/doi/10.1145/3392156
• https://dl.acm.org/doi/10.1145/3297663.3310301

Dauer der Zeugnisausstellung

Semester	Letzte Leistung	Zeugnis
2022S	01.07.2022	11.07.2022

Zeitaufwand

Within 3 ECTS (given sufficient programming knowledge, background in Statistical Learning/Machine Learning and a decent group)

Unterlagen

noch offen

Tipps

noch offen

Verbesserungsvorschläge / Kritik

2022S

• Depending on the presentation slot you are in, you might not get any feedback on your exercise progress
• There is no feedback on the oral exam - at all (you just get the certificate)
• IMHO, the lecture lacks a common theme (besides the fact that everything is somehow related to distributed systems or energy efficiency).

Materialien

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