Research Article
Coordinating Data Analysis and Management in Multi-layered Clouds
@INPROCEEDINGS{10.1007/978-3-319-47063-4_37, author={Ioan Petri and Javier Diaz-Montes and Omer Rana and Yacine Rezgui and Manish Parashar and Luiz Bittencourt}, title={Coordinating Data Analysis and Management in Multi-layered Clouds}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Distributed clouds Cloud computing Data analytics CometCloud}, doi={10.1007/978-3-319-47063-4_37} }- Ioan Petri
Javier Diaz-Montes
Omer Rana
Yacine Rezgui
Manish Parashar
Luiz Bittencourt
Year: 2017
Coordinating Data Analysis and Management in Multi-layered Clouds
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_37
Abstract
We introduce an architecture for undertaking data processing across multiple layers of a distributed computing infrastructure, composed of edge devices (making use of Internet-of-Things (IoT) based protocols), intermediate gateway nodes and large scale data centres. In this way, data processing that is intended to be carried out in the data centre can be pushed to the edges of the network – enabling more efficient use of data centre and in-network resources. We suggest the need for specialist data analysis and management algorithms that are , and are able to split computation across these different layers. We propose a coordination mechanism that is able to combine different types of data processing capability, such as and . An application scenario is used to illustrate the concepts, subsequently evaluated through a multi-site deployment.
