Courses catalogue | Computer Science Department

Start Page
Postgraduate Studies
Courses Catalogue

Course details

Code

CS-559

Name

Infrastructure Technologies for Large-Scale Service-Oriented Systems

Program

Postgraduate

Areas

Biomedical Informatics and Technology

Information Systems and Human-Computer Interaction

Parallel and Distributed Systems

Description

The explosive growth of e-services in recent years has created the need to design, implement, and manage infrastructures that support large-scale service-based systems. The course offers an introduction to the scalable infrastructure technologies designed to support large-scale e-services. In the course we will examine existing design techniques and research problems in the design and implementation of these systems as well as their possible solutions.

The course focuses on large-scale service-oriented systems and their architectures; design principles for scalable high performance; management of infrastructural service-level agreements (SLAs); information lifecycle management;; design optimization to meet application requirements; the role of the human factor in service engagements; service delivery models; and several case studies (Amazon, Google, Yahoo, Facebook).

This course is targeted for graduate students and advanced undergraduates and requires the undertaking of a research project. The topics of the research projects will be chosen with the help and guidance of the course staff. Other requirements include two homework assignments, two short in-class quizzes, a midterm exam, and a final exam.

Topics:

Review of service-oriented architectures and scalable implementation techniques
Review of distributed systems principles
Service-level agreements
Virtualization at different levels (servers, network, storage)
Cloud services and IT outsourcing
Application-specific service systems
The human factor in large scale e-service systems
Information/data/storage lifecycle management
High availability and data reliability
Design and deployment of low cost scalable services

Recommended readings:

G. Alonso, F. Casati, H. Kuno, V. Machiraju, 2010, Web Services: Concepts, Architectures, and Applications, Springer Verlag.
Sape Mullender (Ed.), 1993, Distributed Systems (2nd Ed.), ACM Press, New York, NY, USA.

ECTS

Prerequisites

CS-345, CS-360

Course website

https://www.csd.uoc.gr/~hy559/

Course email

hy559 AT csd DOT uoc DOT grShow email

Courses catalog

A+

A-

Offered Postgraduate Cousres
Code	Course Name	ECTS(ΔΜ)	Prerequisites	Suggested	Areas
CS-500	Introduction to Research	2	--
CS-508	Technical Writing in English	3	--
CS-523	Digital Systems CAD Laboratory	6	CS-220, CS-225		A
CS-527	Parallel Computer Architecture	6	CS-345, CS-425		A, Γ
CS-529	Multicore Architecture Programming	6	CS-345, HY425		A, Γ
CS-531	Topics in Information theory	6	N/A		B
CS-533	Introduction to Research on Computer Networks	6	CS-335		B
CS-534	Packet Switch Architecture	6	CS-225, CS-335		A, B
CS-539	Advanced Topics on Wireless Networks and Mobile Systems	6	CS-335, CS-345		B, Γ
CS-540	Advanced Topics in Programming Languages Development	6	CS-340		Z, Δ
CS-541	Wireless Sensor Networks	6	CS-335, CS-215		B, Θ
CS-542	Cloud, Edge & Fog Technologies	6	CS-335, CS-360		Δ
CS-543	Software Systems and Technologies for Big Data Applications	6	CS-360, CS-252,or instructor permission.		Γ, Δ
CS-546	Types and Programming Languages	6	CS-255, CS-280		Z, Γ, Δ
CS-548	Cloud-native Software Architectures	6	CS-335, CS-345		Γ
CS-553	Interactive Computer Graphics	6	CS-358		E, Δ, Θ
CS-558	Internet Technologies and Systems	6	CS-345		B, Γ, Δ
CS-559	Infrastructure Technologies for Large-Scale Service-Oriented Systems	6	CS-345, CS-360		H, Γ, Δ
CS-561	Web Data Management	6	CS-460		Δ
CS-562	Advanced Database Topics	6	CS-360		Δ
CS-563	Advanced Topics in Information Retrieval Systems	6	CS-463		Δ
CS-565	Process Management Systems	6	CS-360	CS-460	H, Δ, Θ
CS-567	Knowledge Representation and Reasoning	6	CS-380, CS-387		Δ, Θ
CS-569	Human – Computer Confluence	6	CS-364	CS-359, CS-469	H, Δ, Θ
CS-570	Statistical Signal Processing	6	CS-370, CS- 217		B, E, Θ
CS-573	Optimization Methods	6	CS-110, CS-119, CS-380	CS-217, CS-471	E, Z
CS-575	Robotic Navigation Laboratory	6	CS-475		E
CS-577	Machine Learning	6	CS-150, CS-217, CS-380		E, H, Z, Δ
CS-578	Voice Processing	6	CS-370		B, Θ
CS-580	Topics in Algorithm Design	6	CS-240, CS-280, CS-380		Z
CS-583	Graph Algorithms	6	CS-240, CS-380		Z
CS-586	Distributed Computing	6	CS-380		Z, Γ
CS-587	Neural Networks and Learning of Hierarchical Representation	6	CS-217, CS-119 or Μ-105		Z
CS-588	Brain Network Analysis and Modeling	6	CS-217, CS-215, CS-240		B, H
CS-590.31	IoT for Smart Cities	6	CS-335, CS-150		B, Δ
CS-590.45	Modern Topics in Scalable Storage Systems	6	CS-345, CS-360		Γ
CS-590.72	Introduction to Bioinformatics for Computer Scientists	3	Basic knowledge in the areas of theoretical computer science (algorithms, data structures) and technical computer science (sequential optimization in C or C++, computer architectures, parallel programming, vector processors) is required.		H
CS-647	Modern Storage Systems	6	CS-345		Γ
CS-672	Advanced Topics in Computational Vision	6	CS-472		E
CS-673	Introduction to Deep Generative Modelling	6	CS-217, CS-119		E, Z, Θ
CS-690.1-4	Teaching Assistantship	3	--
CS-693	Introduction to Game Theory	6			B, Z
CS-695	Supervised Personal Study	3	--
CS-697	Bibliographic Search	15
CS-698	Assessment of Research Direction and Development of a Research Plan	15
CS-699	Research for M.Sc. Thesis	30
CS-700	Seminar Courses	3	--