Dynamic Architecture for Collaborative Distributed Storage of Collected Data in Fog Environments
Autor: | Zineddine Kouahla, Djamil Aïssani, Nadjette Benhamida, Louiza Bouallouche-Medjkoune |
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Rok vydání: | 2021 |
Předmět: |
Computer science
business.industry Reliability (computer networking) Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Latency (audio) Volume (computing) Cloud computing GeneralLiterature_MISCELLANEOUS Computer Science Applications Distributed data store Computer data storage Table (database) Electrical and Electronic Engineering Architecture business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Wireless Personal Communications. 123:3511-3537 |
ISSN: | 1572-834X 0929-6212 |
DOI: | 10.1007/s11277-021-09301-6 |
Popis: | Fog computing needs, particularly in terms of performance, availability and reliability, are increasing every day due to the rapid growth in the number of connected Internet of Things devices and, consequently, the quantitative explosion in the volume of data generated. This study aims to improve the management of collected data to maximize the performance of Fog computing. To this end, a dynamic architecture for the distributed storage of collected data in Fog environments, based on Fog collaboration, is proposed. Dynamicity is related to the Fog and sensors mobility, but distribution is related to data storage in Fog computing resources. In addition, a supplementary Fog layer and a Fog assignment table are used for a good achievement of the proposed architecture and efficient management of Fog sensor associations. The simulation experiments show that the collaborative distributed storage significantly improves the performance of the Fog in terms of data availability and end-user latency. Subsequently, the proposed solution minimizes the number of queries to the cloud. |
Databáze: | OpenAIRE |
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