Checking date: 30/06/2021

Course: 2021/2022

Cloud networking
Study: Master in Big Data Analytics (322)


Department assigned to the subject: Department of Telematic Engineering

Type: Electives
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
Advanced technologies for data transmission and data access
Basic Competences That the students can apply the acquired knowledge and ability to solve problems in new or unfamiliar environments within broader contexts related to their field of study That students are able to integrate knowledge and handle complexity of formulating judgments That the students can communicate their conclusions and the knowledge and rationale underpinning to specialists and non-specialists in a clear and unambiguous way. That students have the learning skills that enable them to continue studying in a way that will be largely self-directed or autonomous. Specific Competences Understanding of the different technologies of a data center and their function Capacity to design and operate a data center network Capacity to solve problems in a data center networks
Skills and learning outcomes
Description of contents: programme
1- Introduction to data centers 2- DC Virtualization 2.1- Virtualization of services, cloud services and distributed applications 2.2- Virtualization technologies for hosts, networks and storage 3- Data Center architectures 3.1- Computing systems for data centers 4- Data center communications 4.1- Data center traffic 4.2- Data center topologies 4.3- Network Protocolos for Data Centers. Addressing and routing - Storage networks (FC, FCoE) - Planning: assigment of task, resources and network bandwidth - High availability mechanisms - Data center management - SDN (Software Defined Networking) for Data Centers - Data Center security
Learning activities and methodology
Learning activities Theoretical classes Laboratory classes Group assignments Individual assignments Methodology Presentations in the class by the teacher with support of computer and audiovisual media, in which the main concepts of the subject are developed and the literature is provided to supplement student learning. Critical reading of additional texts: Newspaper articles, reports, manuals and / or academic articles, either for further discussion in class, either to expand and consolidate the knowledge of the subject. Resolution of practical cases, problems, etc. posed by the teacher individually or in group Presentation and discussion in class of topics related to the content of the course, as well as case studies Preparation of papers and reports individually or in group
Assessment System
  • % end-of-term-examination 100
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • D. Abts et al.. ¿ High Performance Datacenter Networks: Architectures, Algorithms, & Opportunities (Synthesis Lectures on Computer Architecture), . Morgan.
  • Y. Liu et al. Data Center Networks: Topologies, Architectures and Fault-Tolerance Characteristics. Springer.

The course syllabus and the academic weekly planning may change due academic events or other reasons.

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