Elouali Aya, Mora Mora Higinio, Mora-Gimeno Francisco José
Department of Computer Science Technology and Computation, University of Alicante, Alicante, Spain.
J Cloud Comput (Heidelb). 2023;12(1):48. doi: 10.1186/s13677-023-00424-8. Epub 2023 Mar 28.
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.
计算卸载是资源有限且处理要求成本高的物联网设备的解决方案。然而，需要考虑诸如延迟和带宽消耗等与网络相关的问题。减少数据传输是旨在通过减少传输的数据量来解决与网络相关问题的解决方案之一。在本文中，我们提出了一个独立于系统和数据类型的通用形式化数据传输减少模型。这种形式化基于两个主要思想：1）直到发生重大变化才发送数据，2）发送较小尺寸的实体，允许云在不实际接收的情况下推断物联网设备捕获的数据。本文包括模型的数学表示、一般评估指标公式以及对实际用例的详细预测。
