MODELLING, SIMULATION AND PERFORMANCE EVALUATION OF PARALLEL AND DISTRIBUTED SYSTEMS

Course Information
TitleΜΟΝΤΕΛΟΠΟΙΗΣΗ, ΠΡΟΣΟΜΟΙΩΣΗ ΚΑΙ ΑΠΟΔΟΣΗ ΠΑΡΑΛΛΗΛΩΝ ΚΑΙ ΚΑΤΑΝΕΜΗΜΕΝΩΝ ΣΥΣΤΗΜΑΤΩΝ / MODELLING, SIMULATION AND PERFORMANCE EVALUATION OF PARALLEL AND DISTRIBUTED SYSTEMS
CodeNA01
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorEleni Karatza
CommonNo
StatusActive
Course ID40002000

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 8
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses117.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses117.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses117.5
DIKTYAKA SYSTĪMATAElective Courses belonging to the selected specialization117.5

Programme of Study: PPS of School of Informatics (2013-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
Information SystemsElective Courses117.5
Information And Communication Technologies In EducationElective Courses117.5
Digital MediaElective Courses117.5
Communication Systems and TechnologiesCompulsory Course117.5

Class Information
Academic Year2015 – 2016
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600011280
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge in parallel and distributed systems, simulation, performance, probabilities and statistics.
Learning Outcomes
Thorough grasp of parallel and distributed systems performance evaluation concepts. Acquaintance with advanced techniques for modelling, simulation and performance analysis of computing systems consisting of multiple processors. Practice in solving exercises based on taught theory.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Discrete event modelling and simulation. Queueing network models. Performance evaluation and analysis of parallel and distributed systems - Performance metrics. High performance systems and computing. Scheduling / routing methods. Load balancing. Resource discovery in the grid. Performance of multi-criteria based job scheduling.
Keywords
Modeling, simulation, performance, parallel and distributed systems
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Description
Use of computer for teaching. Use of eLearning for communication.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Reading Assigment752.5
Project752.5
Solving exercises to understand the theory 361.2
Total2257.5
Student Assessment
Description
Written exams 50%, project with presentation 30% (research project, or programming assignment), exercises solving 20%. The exact procedure is announced at the course site.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
Προτεινόμενη βιβλιογρaφία και υλικό 1. The practical performance analyst, Neil Gunther, Authors Choice Press, 2000. 2. Simulation modeling and Analysis, Averill M. Law / W. David Kelton, McGraw-Hill Higher Education, 2006. 3. Σημειώσεις παραδόσεων (Διαφάνειες μαθημάτων), https://elearning.auth.gr/auth/saml/login.php. Επιπρόσθετη βιβλιογραφία 1. H. F. Jordan, and G. Alaghband, Fundamentals of Parallel Processing, Prentice Hall 2003. 2. Ian Foster, and Carl Kesselman (Editors), The Grid: Blueprint for a New Computing Infrastructure, 2004, Elsevier. 3. E.D. Lazowska, J. Zahorjan, G. S. Graham, K.C. Sevcik, "Quantitative System Performance: Computer System Analysis Using Queueing Network Models", Prentice-Hall, Inc., 1984 (e-book). 4. Raj Jain, "The art of Computer Systems Performance Analysis", J. Wiley and Sons, 1991. 5. Daniel A. Menasce, Virgilio A. F. Almeida, "Capacity planning for web performance", Prentice Hall, 1998. 6. D. A. Menasce, V. A. F. Almeida, L. W. Dowdy, "Capacity Planning and Performance modelling, From Mainframes to Client Servers", Prentice Hall, 1994. 7. D. A. Menasce, V. A. F. Almeida, L. W. Dowdy, "Performance by Design: Computer Capacity Planning By Example", Prentice Hall PTR, 2004. 8. D.J. Lilja, "Measuring Computer Performance: A Practitioner's Guide", Cambridge University Press, 2000. 9. G. Bolch, S. Greiner, H. De Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications", Wiley-Interscience, 2006. 10. Ερευνητικές Εργασίες.
Last Update
14-10-2015