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Postgraduate Studies
Courses Catalogue

Course details

Code

CS-559

Name

Infrastructure Technologies for Large-Scale Service-Oriented Systems

Program

Postgraduate

Areas

Databases, information and knowledge management

Computer security and distributed systems

Computer systems, parallel and high performance computing

(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 by course staff. Other requirements include the selection (with guidance by course staff), study, and in-class presentation of two research papers from recent top-ranked conferences in the course field.

LEARNING OUTCOMES
1. Knowledge: Having attended and succeeded in the course, the student is able to describe the software layering of typical large-scale service-oriented systems, important technical challenges in this field, and indicative solutions from research scientific literature

2. Understanding: Having attended and succeeded in the course, the student is able to understand the general principles used in the analysis of large-scale service-oriented systems and to discern common requirements across different systems in this space

3. Application: Having attended and succeeded in the course, the student is able to apply basic experimental methodology for system evaluation in this research space

4. Analysis: Having attended and succeeded in the course, the student is able to have a high-level understanding of the organizational structure of typical large-scale service-oriented systems

5. Synthesis: Having attended and succeeded in the course, the student is able to know the basic subsystems that comprise typical large-scale service-oriented systems and ways to synthesize them to satisfy end-user requirements

6. Evaluation: Having attended and succeeded in the course, the student is able to know the metrics under which large-scale service-oriented systems are experimentally evaluated and indicative ways to analyze experimental results

STUDENT PERFORMANCE EVALUATION
Students are evaluated based on
(1) Class attendance/participation (questions / comments contributed in class)
(2) In-class presentation of two recent research publications (degree of preparation, understanding of material, ability to explain concepts)
(3) Written report of project conducted during semester, comprising experimental work (experiments designed and conducted in AWS Academy cloud platform) to be orally examined during in-class presentation at the end of the semester

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

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Offered Postgraduate Cousres
Code	Course Name	ECTS(ΔΜ)	Prerequisites	Suggested	Areas
CS-500	Introduction to Research	2	--
CS-508	Technical Writing in English	4	--
CS-523	Digital Systems CAD Laboratory	6	CS-220, CS-225		A, A1
CS-527	Parallel Computer Architecture	6	CS-345, CS-425		A, A1, A2, Γ
CS-529	Multicore Architecture Programming	6	CS-345, HY425		A, A2, B1, B2, Γ
CS-531	Topics in Information theory	6	N/A		B, B2, B4
CS-533	Introduction to Research on Computer Networks	6	CS-335		A3, A4, B
CS-534	Packet Switch Architecture	6	CS-225, CS-335		A, A1, A4, B
CS-539	Advanced Topics on Wireless Networks and Mobile Systems	6	CS-335, CS-345		A4, B, Γ
CS-540	Advanced Topics in Programming Languages Development	6	CS-340		B1, B3, Z, Δ
CS-541	Wireless Sensor Networks	6	CS-335, CS-215		B, C1, Θ
CS-543	Software Systems and Technologies for Big Data Applications	6	CS-360, CS-252,or instructor permission.		B2, B4, Γ, Δ
CS-546	Types and Programming Languages	6	CS-255, CS-280		A2, B1, B3, Z, Γ, Δ
CS-548	Cloud-native Software Architectures	6	CS-335, CS-345		A2, Γ
CS-553	Interactive Computer Graphics	6	CS-358		C3, E, Δ, Θ
CS-558	Internet Technologies and Systems	6	CS-345		A3, A4, B, Γ, Δ
CS-559	Infrastructure Technologies for Large-Scale Service-Oriented Systems	6	CS-345, CS-360		A2, A3, B2, H, Γ, Δ
CS-561	Web Data Management	6	CS-460		B2, C3, Δ
CS-562	Advanced Database Topics	6	CS-360		B2, Δ
CS-563	Advanced Topics in Information Retrieval Systems	6	CS-463		B2, B4, Δ
CS-565	Process Management Systems	6	CS-360	CS-460	A3, A4, B1, H, Δ, Θ
CS-567	Knowledge Representation and Reasoning	6	CS-380, CS-387		B2, B4, Δ, Θ
CS-569	Human – Computer Confluence	6	CS-364	CS-359, CS-469	C3, H, Δ, Θ
CS-570	Statistical Signal Processing	6	CS-370, CS-217		B, B4, C1, C2, E, Θ
CS-573	Optimization Methods	6	CS-110, CS-119		B4, C2, E, Z
CS-575	Robotic Navigation Laboratory	6	CS-475		C2, E
CS-577	Machine Learning	6	CS-150, CS-217, CS-380		B4, C1, C2, C4, E, H, Z, Δ
CS-578	Voice Processing	6	CS-370		B, C1, Θ
CS-580	Topics in Algorithm Design	6	CS-240, CS-280, CS-380		B1, C4, Z
CS-583	Graph Algorithms	6	CS-240, CS-380		B1, C4, Z
CS-586	Distributed Computing	6	CS-380		A3, B1, Z, Γ
CS-587	Neural Networks and Learning of Hierarchical Representation	6	CS-217, CS-119 or Μ-105		B4, C1, C2, C4, Z
CS-588	Brain Network Analysis and Modeling	6	CS-217, CS-215, CS-240		B, B4, C4, H
CS-590.31	IoT for Smart Cities	6	CS-335, CS-150		A4, B, B2, Δ
CS-590.45	Modern Topics in Scalable Storage Systems	6	CS-345, CS-360		A3, B2, 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.		C4, H
CS-590.73	Seminar in Reproducibility in Bioinformatics	3	CS-590.72		C4, H
CS-647	Modern Storage Systems	6	CS-345		A2, B2, Γ
CS-672	Advanced Topics in Computational Vision	6	CS-472		B4, C2, C3, E
CS-673	Introduction to Deep Generative Modelling	6	CS-217, CS-119		B4, C2, E, Z, Θ
CS-690.1-4	Teaching Assistantship	3	--
CS-693	Introduction to Game Theory	6			B, B1, B4, 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	--