PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Energy management for IoT

01UDGOV

A.A. 2025/26

Course Language

Inglese

Degree programme(s)

Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino

Course structure
Teaching Hours
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Co-lectures
Espandi

Context
SSD CFU Activities Area context
ING-INF/05 6 C - Affini o integrative Attività formative affini o integrative
2024/25
This is a course of the “Embedded System” track of the Master in Computer Engineering, held in the 1st term of the 2nd year. This course studies the issues related to the modeling, design and simulation of resource-constrained embedded systems used in the Internet-of-things (IoT) world, where constraints concerns especially energy and computational power. The emphasis of the course will be on the hardware architecture side of the problem using model- and simulation-based approaches.
This is a course in the “Embedded System” track of the Master in Computer Engineering, held in the 1st term of the 2nd year. It covers the issues related to the modeling, design and simulation of resource-constrained embedded systems used in the Internet-of-things (IoT) world, where constraints concerns especially energy and power consumption. The emphasis of the course will be on the hardware and architecture side of the problem using model- and simulation-based approaches and hands-on labs.
- Understanding of the energetic issues of IoT devices and systems; - Ability in the analysis of the energy consumption sources; - Ability in the characterization of workloads for the dynamic analysis of IoT systems; - Skills in the design of energy-efficient solutions. - Ability in the quantitative evaluation of the effectiveness of the design solutions; - Understanding of the fundamental features of non-fixed power supply sources such as energy storage devices or power generation sources. - Skills in the design of power supply systems (battery sizing, lifetime of a system).
- Understanding of the energetic issues of IoT devices and systems; - Ability in the analysis of the energy consumption sources; - Ability in the characterization of workloads for the dynamic analysis of IoT systems; - Skills in the design of energy-efficient solutions. - Ability in the quantitative evaluation of the effectiveness of the design solutions; - Understanding of the fundamental features of non-fixed power supply sources such as energy storage devices or power generation sources. - Skills in the design of power supply systems (battery sizing, lifetime of a system).
The course requires the knowledge of C/C++ programming (data structures and algorithms). A basic knowledge of the Matlab/Simulink environment, as well as of calculus, statistics, digital electronics and digital design, and computer architecture can be useful. No specific skills in hardware design (e.g., VHDL/Verilog) is required.
The course requires the knowledge of C/C++ programming (data structures and algorithms). A basic knowledge of the Matlab/Simulink environment, as well as of calculus, statistics, digital electronics and digital design, and computer architecture can be useful. No specific skills in hardware design (e.g., VHDL/Verilog) is required.
1. Energy Management [2.5 CFU] o Technological and architectural trends and relative energetic implications o Characterization of the various sources of power consumption and their interaction with other metrics o Dynamic power management (DPM); concepts and implementations: shutdown, voltage/frequency scaling, threshold voltage scaling and their relative quantitative analysis; o Application of dynamic power management to the various sub-components of an embedded system and their relative peculiarities (computational units, memories, peripherals); o Other non-DPM based optimizations: information compression and coding; o Quality/energy tradeoff in IoT systems: approximate and error-resilient computations; solutions for non-computing components (e.g., display and other interfaces) 2. Energy Generation and Storage: [1.5 CFU] o Storage: types of energy storage devices (batteries, fuel cell, photovoltaic cells) and their relation with power management o Generation: energy scavenging solutions and their energetic implications o Conversion: types of converters and their efficiency. o Simulation and design of the energy distribution sub-systems in an embedded device.
1. Energy Management [2.5 CFU] o Technological and architectural trends and relative energetic implications o Characterization of the various sources of power consumption and their interaction with other metrics o Dynamic power management (DPM); concepts and implementations: shutdown, voltage/frequency scaling and their relative quantitative analysis; o Application of DPM to the various sub-components of an embedded system and their relative peculiarities (computational units, memories, peripherals); o Quality/energy tradeoff in IoT systems: approximate and error-resilient computations; solutions for non-computing components (e.g., display and other interfaces) o Other non-DPM based optimizations: information compression and coding; 2. Energy Generation and Storage: [1.5 CFU] o The various dimensions of energy beyond consumption: generation, storage, transfer. o Storage: types of energy storage devices (batteries, fuel cell, photovoltaic cells) and their relation with power management o Conversion: types of converters and their efficiency. o Generation: energy scavenging solutions, technical issues and their energetic implications o Simulation and design of the energy distribution sub-systems in an embedded device.
Assessment and grading criteria: as per the current regulations, the written exam will be held remotely using the Virtual Classroom tool with direct surveillance through the students' webcams. This will be possible thanks to the relatively small number of students enrolled in the course. Hands-on Labs: in case all the labs will have to be held entirely in virtual mode, the hansds-on part on the boards will be made possible by mailing them to the students, if the numbers allow it. This procedure has already been followed for a similar course in the II semester of .2019/2020).
Students are required to bring their own paper sheets for the written exam.
Lab classes will consist of the implementation of the techniques shown in class using Matlab/Simulink and SystemC. 3 lab sessions with as many deliverables are planned (2 CFU). Labs will be held during class time using the students’ computers.
Lab classes will consist of the implementation of the techniques shown in class using software simulators, part in C++/SystemC, part in Matlab/Simulink. Three lab sessions (on multiple sessions) with as many deliverables are planned (2 CFU). Labs will be held during class time using the students’ computers.
There is no official textbook. Class handouts will be made available on the course webpage. Additional material such as papers, links to websites, software and manuals, will be also made available on the course webpage.
There is no official textbook. Class handouts will be made available on the course webpage. Additional material such as papers, links to websites, software and manuals, will be also made available on the course webpage.
Slides; Dispense; Esercizi; Esercizi risolti; Video lezioni tratte da anni precedenti;
Lecture slides; Lecture notes; Exercises; Exercise with solutions ; Video lectures (previous years);
Modalità di esame: Prova scritta (in aula); Elaborato scritto prodotto in gruppo;
Exam: Written test; Group essay;
... Expected learning outcomes: - Understanding of the topics covered in the course - Skills in the design of the power supply system of an embedded or mobile device based on its functionalities - Skills in the design of power management solutions and their quantitative evaluation Exam criteria and rules: The exam aims at assessing the skills and knowledge described above by means of a two-part evaluation: The first part consists of a closed-book written test including both numerical exercises and open-answer questions. The time allowed for the test is 2 hours and the maximum score is 24 points. The second part consists of the evaluation of the reports on the lab exercises. Reports have to be delivered by the end of the winter exam session. Each lab will get a different score depending on its quality. The total maximum score for the lab reports is 9 points. The sum of the test score and the lab evaluations will yield the final score (maximum 33 points corresponding to 30 cum laude). Student can also integrate the final evaluation up to a maximum of 6 points with an individual project proposed by the instructor to be delivered by the end of the exam session. The project represents an additional element to assess the student's skills in solving problems that cover the entire context of energy-constrained embedded systems, unlike the more specific cases covered in the labs; moreover, projects allow the instructor to assess the autonomy of the student in building the knowledge base required to carry out the project itself.
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Written test; Group essay;
Expected learning outcomes: - Understanding of the topics covered in the course - Skills in the design of the power supply system of an embedded or mobile device based on its functionalities - Skills in the design of power management solutions and their quantitative evaluation Exam criteria and rules: The exam aims at assessing the skills and knowledge described above by means of a two-part evaluation: The first part consists of a closed-book written test on paper including both numerical exercises and open-answer questions. The time allowed for the test is 2 hours and the maximum score is 24 points. Scientific calculators are allowed. The second part consists of the evaluation of the reports on the lab exercises. Reports have to be delivered by the end of the winter exam session. Labs cannot be undertaken after the deadline. Each lab will get a different score depending on its quality. The total maximum score for the lab reports is 9 points. The sum of the test score and the lab evaluations will yield the final score (maximum 33 points corresponding to 30 cum laude). Student can also optionally integrate the final evaluation by means of an individual project work selected from a list of available proposals that will be posted before the end of the lectures. This optional project represents an additional element to assess the student's skills in solving problems that cover the entire context of energy-constrained embedded systems, unlike the more specific cases covered in the labs; moreover, projects allow the instructor to assess the autonomy of the student in building the knowledge base required to carry out the project itself. A limited number of proposals will be available; requests will be served first-come-first-serve. Students must have a valid score at the written test to ask for a project. When assigned a project, the student has 30 calendar days to deliver it. Failure to deliver the result Ii.e. withdrawing from the project assignment) will incur in a penalty of -2 points in the final score.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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