I am Marina Koroleff, a 20 year old Computer Science student from Kirkkonummi, Finland. This summer I’m working as an intern in the cloud team at Ericsson in Jorvas.
Students from many different fields join Ericsson Research for internships or thesis work. You could be next. Follow our blog to learn about the students at Ericsson Research this summer.
With the size of centralized cloud deployments continuing to increase and with distributed and edge cloud deployments becoming a reality, how can cloud management platforms scale regardless of infrastructure size and shape? Can performance levels be maintained as scale increases? Centralized and hierarchical approaches have historically dominated but distributed approaches based on peer-to-peer (P2P) technologies are highly relevant to bring into the conversation.
Many IoT applications will need to execute in a distributed cloud, instead of in one, big data center. This will require breaking up large and complex computations into smaller tasks that can be distributed. We developed a method to efficiently do this by leveraging the expressive capabilities of actor model programming, which we presented at the International Conference on Ambient Systems, Networks and Technologies – ANT 2015 – in June.