Automatic and scalable cloud framework for parametric studies using scientific applications
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Many scientific applications are computationally expensive and often require a large pool of resources for large scale experiments within a reasonable time frame. With Cloud computing offers a new model of consuming computing infrastructures for their flexible application deployment. At the same time, microservice architecture has also gained momentum in the industries for a number of reasons including minimal overhead, simplicity, flexibility, scalability and resilience. The combination of the two technologies has the potential to bring large benefits for scientists and researchers. The goal of this project is to develop a framework which can help to facilitate researchers and scientists to develop their microservices and to provide a hosting platform for parallel execution of their applications.
Place, publisher, year, edition, pages
2016. , 50 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-307149OAI: oai:DiVA.org:uu-307149DiVA: diva2:1045455
Master Programme in Computer Science
Hellander, Andreas r
Toor, SalmanDaniels, Mats