194.049 Energy-efficient Distributed Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to understand, analyse and design energy efficienct solutions in state of the art ICT systems. We focus in particular on state of the art architectures like Cloud and Edge.

Subject of course

In particular, we will discuss concepts of micro and massive data centers, methods for speculative resource allocation in data centers, and energy efficient monitoring of resources. Since energy efficiency is highly related to pricing policies of resource we will also discuss different pricing policies. To facilitate energy efficient runtime operation of massive data centers we will discuss various controller design techniques that also consider geo-temporal constraints. Further, we will present state of the art methodologies for energy efficient management of battery life in smart devices like cyber foraging or energy harvesting.



Teaching methods

Teaching method is a combination of a lecture with presentations and course work. In the course work we focus on a concrete question for the development of energy efficient algorithms.

Mode of examination


Additional information


25 h attending lectures and exercises
30 h lecture follow-up and preparation of home exercises
19.5 h preparation written exam
0.5 h exam
75 h overall

Slides will be provided in TISS during the semester.



Course dates

Tue14:00 - 15:3009.03.2021 online (LIVE)Vorbesprechung

Examination modalities

Exercise Work 50%

Exam 50%

Overall grade distribution:
S1: [88%,100%]
U2: [75%,88%)
B3: [63%,75%)
G4: [50%,63%)
N5: [0%,50%)

Final Exam

The final exam will be on 24th June, second opportunity will be in October 2020. The student can attend one or both exames. If both exames are done then only the best result counts, and only one certificate will be issued (for the exam with better resoults).

To sucessfuly complete the course both parts (exam and excercise) have to be positive. Practical part will be evaluated in the form of the presentations where students have to present the developed solutions at different stages (algorithm design, testbed, etc.).

Course registration

Begin End Deregistration end
24.02.2021 01:00 18.03.2021 10:00 01.04.2021 10:00


Study CodeObligationSemesterPrecon.Info
066 393 Mathematical Modelling in Engineering: Theory, Numerics, Applications Not specified
066 645 Data Science Not specified



J. M. Pierson. Large-scale Distributed Systems and Energy Efficiency: A Holistic View. Wiley, 2015.

Toni Mastelic, Ariel Oleksiak, Holger Claussen, Ivona Brandic, Jean-Marc Pierson, Athanasios V. Vasilakos:
Cloud Computing: Survey on Energy Efficiency. ACM Comput. Surv. 47(2): 33:1-33:36 (2014)