Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Enxeñaría Informática (plan 2012)
 Subjects
  Computing as a Service
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Identifying Data 2022/23
Subject (*) Computing as a Service Code 614502004
Study programme
Mestrado Universitario en Enxeñaría Informática (plan 2012)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
First Obligatory 6
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Enxeñaría de Computadores
Matemáticas
Coordinador
López Taboada, Guillermo
E-mail
guillermo.lopez.taboada@udc.es
Lecturers
Carneiro Diaz, Victor Manuel
Fernández Lozano, Carlos
Ferreiro Ferreiro, Ana María
López Taboada, Guillermo
E-mail
victor.carneiro@udc.es
carlos.fernandez@udc.es
ana.fferreiro@udc.es
guillermo.lopez.taboada@udc.es
Web http://campusvirtual.udc.es
General description The main objective of this subject is to introduce the student to a new paradigm of distributed computing, Cloud Computing (Cloud Computing), and provide an overview of its possibilities for use in the business world. Cloud Computing systems allow an organization's computing resources to be outsourced to a third-party provider, allowing fast, transparent, secure and cheap provisioning and release of these resources through the Internet. This flexibility in computer management, together with the pay-per-use model available in public clouds, allow companies to rapidly deploy computer applications on systems that adapt their resources efficiently based on the natural life cycle of the business, with the consequent cost savings and productivity improvements. However, its use also represents an important challenge for companies, which must know the advantages and disadvantages of this technology before deciding to opt for its adoption, since this implies significant changes that affect their business model. On the other hand, the virtualization-based technologies used in public clouds can also be applied in the private computing centers of companies to achieve more efficient management, adding many of the features that public clouds provide while the Sensitive information remains under the control of the organization. Through the activities planned in this subject, the student will know the basic concepts and problems associated with Cloud Computing from a business point of view, they will be provided with information on success stories in their use in business environments and, to get a good understanding of technology , will carry out practices on public Clouds, deploying and using virtualized infrastructures and platforms and executing distributed applications developed applying a new programming model: the Map / Reduce model, a model that is supported by the main Cloud service providers.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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