Coordinating data analysis and management in multi-layered clouds

Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Diaz-Montes, Javier, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400, Parashar, Manish and Bittencourt, Luiz F. 2016. Coordinating data analysis and management in multi-layered clouds. Presented at: EAI International Conference on Cloud, Networking for IoT systems, Rome, Italy, 26-27 October 2015. Proceedings of EAI International Conference on Cloud, Networking for IoT systems. Proceedings: EAI Int. Conference on Cloud, Networking for IoT systems. Springer,

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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 resource-aware, 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 in-transit and in-situ. An application scenario is used to illustrate the concepts, subsequently evaluated through a multi-site deployment.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	In Press
Schools:	Computer Science & Informatics Engineering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Publisher:	Springer
Related URLs:	Organisation
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	October 2015
Last Modified:	28 Oct 2022 10:31
URI:	https://orca.cardiff.ac.uk/id/eprint/78658

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