10.5281/zenodo.1133307
https://zenodo.org/records/1133307
oai:zenodo.org:1133307
Verginadis, Yiannis
Yiannis
Verginadis
National Technical University of Athens
Alshabani, Iyad
Iyad
Alshabani
Activeon
Mentzas, Gregoris
Gregoris
Mentzas
National Technical University of Athens
Stojanovic, Nenad
Nenad
Stojanovic
Nissatech
PrEstoCloud: Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing
Zenodo
2017
Big Data Processing
Dynamic Resources Management
Edge Computing
2017-01-01
10.5281/zenodo.1133306
https://zenodo.org/communities/eu
Creative Commons Attribution Share Alike 4.0 International
Among the greatest challenges of cloud computing is to automatically and efficiently exploit infrastructural resources in a way that minimises cloud fees without compromising the performance of resource demanding cloud applications. In this aspect the consideration of using processing nodes at the edge of the network, increases considerably the complexity of these challenges. PrEstoCloud idea encapsulates a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge communication and v) Devices, layers.
European Commission
10.13039/501100000780
732339
PrEstoCloud - Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing