Towards business continuity with Edge-Cloud continuum

With the large volume of data produced by IoT applications, a pure Cloud model could not satisfy application requirements. Edge-Cloud continuum is a viable solution since it enables data processing closer to the source, leveraging the Cloud for global and large-size computations. This paper presents an Edge-Cloud continuum framework for adapting Cloud-based IoT applications to reduce latency and ensure business continuity even in case of network interruptions. The framework is built to be highly configurable to ensure a seamless transition to Edge-Cloud, guaranteeing minimal effort.The approach has been evaluated using an IoT application that simulates an intensive tracking activity from multiple retail shops geographically distributed. The experimental results show the framework’s effectiveness in ensuring business continuity and lower response times even in case of network failure.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/ficloud62933.2024.00046
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.59
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article

Towards business continuity with Edge-Cloud continuum

Carmine Colarusso, Eugenio Zimeo, Ida Falco
3 citations
Big Data and Business Intelligence
1.59
article

Towards business continuity with Edge-Cloud continuum

Carmine Colarusso, Eugenio Zimeo, Ida Falco
article en
3 citations

Abstract

With the large volume of data produced by IoT applications, a pure Cloud model could not satisfy application requirements. Edge-Cloud continuum is a viable solution since it enables data processing closer to the source, leveraging the Cloud for global and large-size computations. This paper presents an Edge-Cloud continuum framework for adapting Cloud-based IoT applications to reduce latency and ensure business continuity even in case of network interruptions. The framework is built to be highly configurable to ensure a seamless transition to Edge-Cloud, guaranteeing minimal effort.The approach has been evaluated using an IoT application that simulates an intensive tracking activity from multiple retail shops geographically distributed. The experimental results show the framework’s effectiveness in ensuring business continuity and lower response times even in case of network failure.

University of Sannio (IT)
Openalex Percentile: Top 12%
Big Data and Business Intelligence
1.59
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