LFU:online

Students will understand how to design and develop a large scale distributed systems for ultra-scale computing

Distributed computer architectures; Peer-to-peer architectures, Cloud computing technologies; Resource management; Optimization of distributed applications; Scheduling algorithms; Function as a service; Distributed data repositories; Data analytics; Stream processing; Load balancing; performance metrics and performance analysis.

Advaanced concepts and architectures will be presented in a normal lecture format. Basic practical code examples will be explained.

One written exam.

Kai Hwang, "Cloud Computing for Machine Learning and Cognitive Applications". 

Rajkumar Buyya, Amir Vahid Dastjerd: Internet of Things: Principles and Paradigms

Other relevant and important scientific publications

Knowledge of the basic concepts for distributed systems and algorithms.