ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-09202016-142954


Tipo di tesi
Tesi di laurea magistrale
Autore
NERI, DAVIDE
URN
etd-09202016-142954
Titolo
Enanched discovery of Docker images
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Prof. Brogi, Antonio
correlatore Dott. Soldani, Jacopo
Parole chiave
  • Microservices
  • Docker Finder
  • Docker
  • Containers
  • Cloud
Data inizio appello
07/10/2016
Consultabilità
Completa
Riassunto
Docker is a platform for developing, shipping and running applications using container-based virtualisation technology. Docker can pack any application in an isolated container with all the dependencies that the application needs to run. A Docker image is a
template used to create containers. The Docker images are stored in Docker registries
where the users can pull, push, or search images.
The current support for searching images in registries is however limited: The
available registries (such as the Docker Hub) only permit searching images by specifying
a term, which is then exploited to return all images where such term occurs in the image
name, in the image description or in the user name. As a consequence, users cannot
search images by specifying other attributes, such as the image size, or the software
that is installed and supported by an image.
The objective of this thesis is precisely to try to solve the above explained limitation,
by designing and implementing a tool (Docker Finder) to discover Docker images not
only “by name”, but also based on what they feature.
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