Course catalogue

Cloud computing technologies, types of services (NaaS, IaaS), development models (private, public, hybrid), tools (openflow), virtualization of networking services and functions (SDN, NFV). Advanced technologies for access and core networks (e.g., ΙΕΕΕ 802.1Χ, 802.21, 5G, DSL, Gigabit Ethernet), architectures (eg. MPLS, Diffserv, IntServ), protocols (eg. RSVP, Mobile IP, IPv6, OSPF, BGP) and services (WebTV, IPTV, P2P, V2V).

The course is a basic introduction to the concepts of cloud computing and resource virtualization and services virtualization . This course aims to introduce students to the basic concepts of cloud computing, connecting the concept of service offered by their respective necessary resources and requirements for the effective management of s. It also refers to introductory concepts in infrastructure management and access technology methodologies , so that the student has a comprehensive understanding of processes and methodologies in cloud computing . In this sense the lesson exploits knowledge and is the basis on which specific methodologies and techniques for the creation and management of virtual services . Finally, the aim of the course is to understand from the students the importance of the management of virtual services in the modern economy and the transformation of the cloud computing into a distinct scientific field / occupation

Upon successful completion of this course the student / her will be able to:

• Understanding has the key and critical aspects of cloud computing, connecting t th with broader economic and operational objectives and principles of the service lifecycle.
• Has knowledge of the tools and techniques of virtualization Mr. century that are used to ensure the successful completion of a year the services and resources taking into account the budget,
• It is able to distinguish the main roles in a real or a case study of a cloud computing project and to assess the role of the stakeholders in the implementation of the project.
• It uses cloud computing methodologies to identify key elements such as critical infrastructures, interfaces , dependencies, and a realistic or implementation .
• Analyzes and calculates the basic costs of the service and the connection with the timing.
• Collaborate with its fellow students to create and present a project in a computational cloud service case study that includes the organization, allocation of key tasks, architectural design and implementation of the service (Environmental Analysis - Communications, Objectives, Work Structure Analysis, Chronoprogramming, and Budget)

Not required.

Semester project and oral examination

Greek (English for Erasmus students)