arrow
Return

Data transmission reduction formalization for cloud offloading-based IoT systems

delete2023-03-28
delete5
delete
OA
AI
A
Aya Elouali
H
Higinio Mora
F
Francisco José Mora Gimeno *
DOI:10.1186/s13677-023-00424-8delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
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.
Keywords:
Data transmission reduction
Cloud computing
IoT cameras
Data offloading
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
Journal of Cloud Computing-Advances Systems and Applications
IF:
4.3
Papers:
733
Citations:
2.2K

Organization

U
universitat d'alacant
Scholars:
6.9K
Papers: 7.0K
Citations: 12