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Conference papers

Improving Data Locality in P2P-based Fog Computing Platforms

Abstract : Fog computing extends the Cloud Computing paradigm to the edge of the network, relying on computing services intelligently distributed to best meet the applications needs such as low communication latency, data caching or confidentiality reinforcement. While P2P is especially prone to implement Fog computing platforms, it usually lacks important elements such as controlling where the data is stored and who will handle the computing tasks. In this paper we propose both a mapping approach for data-locality and a location-aware scheduling for P2P-based middlewares, improving the data management performance on fog environments. Experimental results comparing the data access performances demonstrate the interest of such techniques.
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Contributor : Manuele Kirsch Pinheiro Connect in order to contact the contributor
Submitted on : Saturday, September 28, 2019 - 8:10:24 PM
Last modification on : Monday, May 9, 2022 - 5:16:03 PM

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Luiz Angelo Steffenel, Manuele Kirsch Pinheiro. Improving Data Locality in P2P-based Fog Computing Platforms. International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) / International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), 2018, Leuven, Belgium. pp.72-79, ⟨10.1016/j.procs.2018.10.151⟩. ⟨hal-02299902⟩



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