Scalability and High Availability (5 cr)

Evaluation scale

0-5

Objective

Purpose of the course
You learn matters and techniques affecting scalability and availability of systems and software and the principles of their design.

Competences
EU-KW: EUR-ACE Knowledge and understanding
EU-EC: EUR-ACE Engineering practice

Learning objective of the course
You understand the concepts of scalability and high availability and how to affect them. You know various mechanisms affecting scalability and high availability as well as their weaknesses and benefits. You are able to design scalable systems where redundancy, load balancing and high availability have been taken into account.

Content

Scalability of applications, asynchronous and synchronous applications and their scalability.
Load balancing: physical and software-based. Load balancing on various layers of the OSI model: Layer 4 and Layer 7. Load balancing algorithms. Latency. Redundancy. Planned and unplanned breaks.
Scalability in cloud.
Terms related to the techniques, e.g. failover, uptime, downtime, master, slave/backup.

Materials

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks
- seminars

Employer connections

- visiting lecturers
- projects

Exam schedules

The possible date and method of the exam will be announced in the course opening.

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 52 h
- exercises 15 h
- assignment 35 h
- independent study 30 h
- company visits 3 h
Total 135 h

Assessment criteria, satisfactory (1)

Sufficient 1:The student masters sufficiently the theory of scalability and high availability and is able to recognize some of the techniques affecting them. The student is able to design and implement partly scalable systems where high availability has been considered based on the system or software requirement specification.

Satisfactory 2: The student masters satisfactorily the theory of scalability and high availability and recognizes part of the techniques affecting them. The student is able to design and implement partly scalable systems where high availability has been considered based on the system or software requirement specification

Assessment criteria, good (3)

Good 3: The student masters the theory of scalability and high availability well and recognizes the techniques affecting them. The student is able to design and implement scalable systems where high availability has been considered based on the system or software requirement specification

Very good 4: The student masters commendably the theory of scalability and high availability and the techniques affecting them. The student is able to design and implement scalable systems where high availability has been considered based on the system or software requirement specification

Assessment criteria, excellent (5)

Excellent 5: The student masters excellently the theory of scalability and high availability and is able to recognize the techniques affecting them. The student is able to design and implement a scalable systems where high availability has been considered based on the system or software requirement specification

Assessment criteria, approved/failed

Pass. The student masters passably the theory of scalability and high availability and is able to recognize some of the techniques affecting them. The student is able to design and implement partly scalable systems where high availability has been considered based on the system or software requirement specification