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Digital archive of theses discussed at the University of Pisa

 

Thesis etd-09202016-142954


Thesis type
Tesi di laurea magistrale
Author
NERI, DAVIDE
URN
etd-09202016-142954
Thesis title
Enanched discovery of Docker images
Department
INFORMATICA
Course of study
INFORMATICA E NETWORKING
Supervisors
relatore Prof. Brogi, Antonio
correlatore Dott. Soldani, Jacopo
Keywords
  • Microservices
  • Docker Finder
  • Docker
  • Containers
  • Cloud
Graduation session start date
07/10/2016
Availability
Full
Summary
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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