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Data transmission reduction formalization for cloud offloading-based IoT systems.

Authors :
Elouali, Aya
Mora Mora, Higinio
Mora-Gimeno, Francisco José
Source :
Journal of Cloud Computing (2192-113X); 3/28/2023, Vol. 12 Issue 1, p1-12, 12p
Publication Year :
2023

Abstract

Computation offloading is the solution for IoT devices of limited resources and high-cost processing requirements. However, the network related issues such as latency and bandwidth consumption need to be considered. Data transmission reduction is one of the solutions aiming to solve network related problems by reducing the amount of data transmitted. In this paper, we propose a generalized formal data transmission reduction model independent of the system and the data type. This formalization is based on two main ideas: 1) Not sending data until a significant change occurs, 2) Sending a lighter size entity permitting the cloud to deduct the data captured by the IoT device without actually receiving it. This paper includes the mathematical representation of the model, general evaluation metrics formulas as well as detailed projections on real world use cases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2192113X
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Journal of Cloud Computing (2192-113X)
Publication Type :
Academic Journal
Accession number :
162725848
Full Text :
https://doi.org/10.1186/s13677-023-00424-8