The goal of PrEstoCloud is to make substantial research contributions in the Cloud computing and real-time Big Data technologies in order to provide a dynamic, distributed architecture for proactive cloud resources management reaching the extreme edge of the network for efficient real-time big data processing and to deploy and validate it in several challenging, complementary and commercially-very promising use cases.
In particular, PrEstoCloud aims to combine real-time Big Data, Cloud computing and Fog computing research in a unique way in order to provide an innovative solution for, as above elaborated, very complex problem of cloud-based adaptive real-time Big Data processing.
An efficient and reliable orchestration of distributed microservices in the PrEstoCloud framework is necessary that benefits from edge computing up to upper layers of computing resources such as fog and cloud infrastructures. It means that the adoption of advanced IoT technologies has been enabled through the concept of applications’ offloading from a computing node to another one. To this end, the PrEstoCloud solution in Task 3.4 called "Mobile offload processing" offers two architectural components:
(i) On/Offloading Server and (ii) On/Offloading Client.
more information at prestocloud-project.eu