A Cloud solution for large image storage and processing

Cloud Computing is the most recent evolution in the computer industry. Its use is more and more widespread to the point that it has become essential in order the launch a competitive and fast growing business. In this thesis, we studied how the Cloud can be used to deploy a large scale storage service applied the context of medical images. 2 different architectures were implemented and their performance were analysed as well as their cost. We concluded that for the use case of storing large images, a serverless microservice architecture with a client that makes use of tiling yields the best performance and the lowest cost.