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| BIL7140 | Computer Systems and Performance Analysis | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of COMPUTER ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None. | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course aims to introduce theory and practices of analytical modeling, simulation, measurement and evalutaion techniques for performance analysis of computer systems. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | apply performance analysis techniques on computer systems. | 2,3,4,5,7,8,9,10 | 1 | | PO - 2 : | develop software for performance analysis of computer systems. | 3,5,8,9,10 | 1 | | PO - 3 : | develop analytical modeling, simulation and measurement techniques for performance analysis of computer systems. | 3,5,7,8,9,10 | 1 | | PO - 4 : | implement loading, monitoring, capacity planning and benchmarking techniques for computer systems. | 2,3,7,8,9,10 | 1,3 | | PO - 5 : | evaluate the performance analysis results of a computer systems. | 3,5,7,8,9,10 | 1 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Performance Evaluation; common mistakes and how to avoid them, selection of techniques and metrics. Measurement techniques and tools; types of workloads, work selection, workload characterization techniques, monitors, program execution and accounting logs, capacity planning and benchmarking, and data presentation. Experimental design and analysis; factorial design, one-factor experiments, two factor design, general full factorial design with k factors. Simulation; simulation, and analysis of the simulation results. Queuing theory; analysis of single queue, queuing networks, and operational laws. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Performance Evaluation
| | | Week 2 | Common mistakes and how to avoid them, selection of techniques and metrics | | | Week 3 | Measurement techniques and tools | | | Week 4 | Types of workloads, work selection, workload characterization techniques | | | Week 5 | Monitors, program execution and accounting logs | | | Week 6 | Capacity planning and benchmarking | | | Week 7 | Data presentation and evaluation | | | Week 8 | Experimental design and analysis | | | Week 9 | Mid-term exam | | | Week 10 | Factorial design, one-factor experiments | | | Week 11 | Two factor design, general full factorial design with k factors | | | Week 12 | Simulation
| | | Week 13 | Simulation, and analysis of the simulation results | | | Week 14 | Queuing theory, analysis of single queue | | | Week 15 | Queuing networks, and operational laws | | | Week 16 | End-of-term exam | | | |
| 1 | Raj Jain, (1991), The Art of Computer Systems Performance Analysis, J. Willey. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 7/04/2013 | 2 | 50 | | End-of-term exam | 16 | 03/6/2013 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav için hazırlık | 20 | 1 | 20 | | Kısa sınav | 2 | 1 | 2 | | Dönem sonu sınavı için hazırlık | 30 | 1 | 30 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 10 | 1 | 10 | | Diğer 2 | 10 | 1 | 10 | | Total work load | | | 200 |
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