Distributed Key Value Store for IoT Edge Devices

The proliferation of the Internet of Things (IoT) requires efficient and scalable data management solutions at the edge of the network. Edge devices play a critical role in processing data and making real-time decisions, thereby minimizing latency and reducing the load on central servers. However, these devices face challenges such as scalability, latency, and fault tolerance. This paper proposes a distributed key-value store specifically designed for IoT edge devices to address these challenges. By integrating distributed key-value stores with IoT edge devices, we aim to enhance data access and management efficiency. Our approach includes the development of optimal methodologies and architectural standards for this integration, addressing key issues such as data consistency, fault tolerance, and low latency. Through prototype creation and testing, we demonstrate significant improvements in data processing speed and system reliability. The ultimate objective of this research is to advance edge computing for IoT, fostering more robust, scalable, and efficient systems.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/ubmk63289.2024.10773480
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.78
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Distributed Key Value Store for IoT Edge Devices

Elif Nurdan Pektaş, Şebnem Baydere, Burak Aslantaş
1 citations
Cloud Computing and Resource Management
0.78
article

Distributed Key Value Store for IoT Edge Devices

Elif Nurdan Pektaş, Şebnem Baydere, Burak Aslantaş
article en
1 citations

Abstract

The proliferation of the Internet of Things (IoT) requires efficient and scalable data management solutions at the edge of the network. Edge devices play a critical role in processing data and making real-time decisions, thereby minimizing latency and reducing the load on central servers. However, these devices face challenges such as scalability, latency, and fault tolerance. This paper proposes a distributed key-value store specifically designed for IoT edge devices to address these challenges. By integrating distributed key-value stores with IoT edge devices, we aim to enhance data access and management efficiency. Our approach includes the development of optimal methodologies and architectural standards for this integration, addressing key issues such as data consistency, fault tolerance, and low latency. Through prototype creation and testing, we demonstrate significant improvements in data processing speed and system reliability. The ultimate objective of this research is to advance edge computing for IoT, fostering more robust, scalable, and efficient systems.

Yeditepe University (TR)
Openalex Percentile: Top 19%
Cloud Computing and Resource Management
0.78
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