The goal of this lecture is to discuss and study advanced theoretical foundations, system designs, algorithms and system analysis of recent developments regarding Service Computing and Cloud Computing in large-scale distributed systems. In particular, the courses will focus on advanced algorithms, system models, and performance monitoring and analysis techniques for state-of-the-art cloud services, software service systems, IoT, and edge computing. Students will learn and research state-of-the-art algorithms and techniques through literature study, individual and team development project with real-world distributed systems.
This course presents and studies hot topics in advanced algorithms, system models, and performance monitoring and analysis techniques for state-of-the-art cloud services, software service systems, IoT, and edge computing. From the system perspective, we will focus on
Several enabling techniques are also discussed for the above-mentioned systems to support user's requirements, such as
This course is highly designed for PhD and master research level
Agenda:
ECTS-Breakdown:
The total marks for this course is 100 points
Grading mapping
It is designed for PhD and master research students. It is expected that students are familiar with Internet computing, data analytics, distributed systems, and distributed technologies.