ID2218 Design of Fault-tolerant Systems 7.5 credits
Design of Fault-tolerant Systems
The information on this page is based on a course syllabus that is not yet valid.
Education cycleSecond cycle
Main field of studyElectrical Engineering
Grading scaleA, B, C, D, E, FX, F
Spring 19 P4 (7.5 credits)
Language of instruction
Form of study
Number of places *
25 - 100
*) The Course date may be cancelled if number of admitted are less than minimum of places. If there are more applicants than number of places selection will be made.
P4: F1, I1, J2. more info
Elena Dubrova <firstname.lastname@example.org>
Open to all programs.
Part of programme
- Master's Programme, Communication Systems, 120 credits, year 1, ITE, Conditionally Elective
- Master's Programme, Communication Systems, 120 credits, year 1, SMK, Conditionally Elective
- Master's Programme, Communication Systems, 120 credits, year 1, TRN, Conditionally Elective
- Master's Programme, Embedded Systems, 120 credits, year 1, INEL, Conditionally Elective
- Master's Programme, Embedded Systems, 120 credits, year 1, INMV, Conditionally Elective
- Master's Programme, Embedded Systems, 120 credits, year 1, INPF, Conditionally Elective
- Master's Programme, Embedded Systems, 120 credits, year 1, INSR, Conditionally Elective
- Master's Programme, ICT Innovation, 120 credits, year 1, INSY, Conditionally Elective
Intended learning outcomes
The aims of this course are:
- to create understanding of the fundamental concepts of fault-tolerance
- to learn basic techniques for achieving fault-tolerance in electronic,communication and software systems
- to develop skills in modeling and evaluatingfault-tolerant architectures in terms of reliability, availability andsafety
- to gain knowledge in sources of faults and means for their preventionand forecasting
- to understand merits and limitations of fault-tolerant design
Course main content
Fault tolerance is the ability of a system to continue performing its intended function despite of faults. In a broad sense, fault tolerance is associated with reliability, with successful operation, and with the absence of breakdowns.
The ultimate goal of fault tolerance is the development of a dependable system. As computer systems become relied upon by society more and more, dependability of these systems becomes a critical issue. In airplanes, chemical plants, heart pace-makers or other safety critical applications, a system failure can cost people's lives or environmental disaster.
There are various approaches to achieve fault-tolerance. Common to all these approaches is a certain amount of redundancy. This can a replicated hardware component, an additional check bit attached to a string of digital data, or a few lines of program code verifying the correctness of the program's results. In this course, we are going to study hardware as well and software fault tolerance. The rapid development of real-time computing applications that started around the mid-1990s, especially the demand for software-embedded intelligent devices, made software fault tolerance a pressing issue.
The following is a tentative list of topics to be covered:
- Definition of fault tolerance
- Applications of fault-tolerance
- Fundamentals of dependability
- Attributes: reliability, availability, safety
- Impairments: faults, errors and failures
- Means: fault prevention, removal and forecasting
- Dependability evaluation
- Common measures: failures rate, mean time to failure, mean time to repair, etc.
- Reliability block diagrams
- Markov processes
- Hardware redundancy
- Redundancy schemes
- Evaluation and comparison
- Information redundancy
- Codes: linear, Hamming, cyclic, unordered, arithmetic, etc.
- Encoding and decoding techniques
- Time redundancy
- Software fault tolerance
- Specific features
- Software fault tolerance techniques: N-version programming, recovery blocks, self-checking software, etc.
Basic understanding of circuits and digital logic.
Course notes E. Dubrova, "Fault-Tolerant Design: An Introduction" (draft, will be distributed in the class).
- ANN1 - Assignment, 1.5, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 1.5, grading scale: A, B, C, D, E, FX, F
- TEN2 - Examination, 4.5, grading scale: A, B, C, D, E, FX, F
Requirements for final grade
The final grade is based on five homework assignments (20%), a midterm exam (20%) and a final exam (60%). For PhD students, an additional task will be to read and present a paper approved by the instructor (20 min talk).
Elena Dubrova <email@example.com>
Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.