A Management Architecture for Cloud-driven Integration of Big Data
Reference persons GUIDO MARCHETTO
External reference persons Prof. Flavio Esposito - St. Louis University, USA
Research Groups COMPUTER NETWORKS GROUP - NETGROUP
Description In this thesis, students will design and implement a Big Data management architecture using the latest Cloud virtualization technologies (e.g., Docker containers or Serverless computing) in support of the integration of several disjoint datasets; examples of data to integrate and query in a responsive fashion are geographical data, images collected by drones or satellites for agricolture and food prediction.
In particular, students will design and implement a Linux-based command line interface and a web-based graphical user interface to facilitate integration, normalization and sharing of currently disjoint datasets. Moreover, students will demonstrate the tool implemented and its effectiveness with a few research case studies.
The thesis is in collaboration with St. Louis University, USA (www.slu.edu), where the candidate is asked to spend some months working on the topic.
Required skills Good programming skills
Deadline 07/11/2018 PROPONI LA TUA CANDIDATURA