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.
link for the first lecture, 8.3. 2022 8.15: https://tuwien.zoom.us/j/95552695380?pwd=QnRldHBHbWI3dVZlWS8zOFhueGU5dz09
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 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.
25 h attending lectures and exercises30 h lecture follow-up and preparation of home exercises19.5 h preparation written exam0.5 h exam------75 h overall
Slides will be provided in TISS during the semester.
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 28th 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.).
Literature:
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)