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Kursusnavn (dansk):Computer Systems Performance 
Kursusnavn (engelsk):Computer Systems Performance 
Semester:Forår 2019 
Udbydes under:cand. it, datalogi (k-cs) 
Omfang i ECTS:7,50 
Min. antal deltagere:
Forventet antal deltagere:
Maks. antal deltagere:60 
Formelle forudsætninger:Students should have taken introductory courses on database systems, operating systems, and C or C++ programming. 
Læringsmål:After the course the student should to be able to:
- Design and conduct performance evaluation experiments
- Formulate hypothesis about the causes of poor performance. across different layers of a data system’s stack (i.e., data management components, operating system, file system, network, hardware).
- Select appropriate tools for troubleshooting performance problems.
- Analyze the performance of a cloud-based data system. 
Fagligt indhold:In a world that requires near-instant response times and increasingly faster access to very large volumes of business-critical data, delays cost money. Data scientists expect high-performance from their data systems in order to reduce time to insight. Software and DevOps engineers are expected to continuously improve the performance of IT systems. Oftentimes, performance profiles can uncover the effects of design or implementation bugs. In this class, students will learn how to design and conduct performance experiments and how to troubleshoot existing cloud-based systems. 

The course is composed of 12 lectures and 12 exercise sessions.

The lectures will cover fundamental aspects of operating systems, storage systems, file systems and network systems.

The exercises will introduce tools and methodology for troubleshooting and performance analysis.

Students will work on a project throughout the semester. 

Obligatoriske aktivititer:None. 
Eksamensform og -beskrivelse:D22: Aflevering med mundtlig eksamen suppleret af aflevering., (7-scale, internal exam)

Students submit a report based on the project. This report is hand-in for the exam.

Duration of the oral exam: 20mins  

Følgende personer underviser på kurset:
NavnStillingUndervisertypeIndsats (%)
Pinar Tözün Lektor(ITU) Kursusansvarlig 100
Omar Shahbaz Khan Ph.d.-studerende(ITU) Underviser 0