Subject

Performance Engineering for Scalable Web Services

Course Title

Performance Engineering for Scalable Web Services
Performance Engineering of Scalable Web Services

Code

m23_s_009

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

Second cycle

Academic year / semester

10 / Summer

Number of ECTS credits

Teacher

Vladimir Zdraveski

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

This course will enable the student to perform a performance analysis of scalable applications or web services deployed in the cloud, helping them to make the most of virtual data centers to deploy scalable applications and web services. It will help the student design and build scalability into SaaS software. Mathematical modeling to achieve the optimal performance/cost ratio for a given application/service when deployed in a commercial cloud.

11.

Course content

SaaS performance and scalability testing. Regression performance testing.
Optimization. Benchmarking.
Finding the SaaS bottleneck. Applying queueing theory to SOA.
Caching effects. Impact of security measures on software performance (node-to-node or end-to-end).
Analytical modeling. Analysis of results. Comparison of modeling with measurements. Isolation of performance.
Challenges in addressing software scalability.
Modeling to select the optimal infrastructure for the software to operate in regions of superlinear acceleration, rather than in regions of saturation.
Extracting maximum performance from rented cloud resources.

12.

Learning methods

Lectures, exercises, independent work, project assignments, seminar papers

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 15 + 0 + 0 + 0 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	15 hours

16.

Other forms of activities

16.1.	Project assignments	0 hours
16.2.	Independent assignments	0 hours
16.3.	Home study	0 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	0 points
17.3.	Activities and learning	0 points
17.4.	Final exam	0 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

completed activities 15.1 and 15.2

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature 1. Brendan Gregg \| Systems Performance: Enterprise and the Cloud \| Prentice Hall \| 2014 2. Henry H. Liu \| Software Performance and Scalability: A Quantitative Approach \| Wiley, IEEE \| 2009 3. John Murphy \| Performance Engineering for Cloud Computing \| Springer \| 2011
22.2.	Additional literature No. Author Title Publisher Year