Edge Computing Provisioning for IoT Security and Latency
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Solution Overview
Problem
Existing cloud computing systems face challenges such as increased load, security and privacy issues, and service disruptions due to errors in cloud servers or lack of internet connectivity, particularly as the number of IoT devices and data volume increase.
Innovation Solution
The implementation of edge computing technology, which enables local edge networks to control devices within a network, share calculations, and resources, thereby improving response speed, reducing network bandwidth usage, and enhancing security and privacy by processing data locally without exposing personal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If cloud computing is used to process IoT data, then centralized data processing capability is improved, but system load increases and security/privacy issues worsen
Solution Approach 1:
The patent segments the centralized cloud computing architecture into distributed edge computing nodes. Each edge device processes data locally within the network, dividing the monolithic cloud system into multiple autonomous processing units. This segmentation reduces the load on any single system while maintaining distributed security, as each edge device manages its own data processing independently without centralizing sensitive information.
2Reliability
If cloud server is used for device authentication, then authentication capability is improved, but cloud server traffic increases
Solution Approach 1:
The patent extracts the authentication function from the centralized cloud server and implements it locally at edge devices. Each edge device maintains its own authentication capabilities and device information, eliminating the need for frequent cloud server communications for authentication purposes. This extraction reduces cloud server traffic while preserving authentication reliability through local verification mechanisms.
3Speed
If edge computing is implemented, then response speed is improved, but device complexity increases
Solution Approach 1:
The patent implements universal edge device architectures that can perform multiple functions including data processing, device authentication, and local service provision. By designing edge devices with multi-functional capabilities, the system achieves fast response speeds without proportionally increasing complexity, as a single edge device can handle various tasks that would otherwise require multiple specialized components.
Data Source
AI summary
An electronic device according to various embodiments may include a communication module, and a processor operatively connected to the communication module, wherein the processor is configured to transmit device information of the electronic device to a cloud server or at least one external device located on a local network using the communication module, identify at least one device determined as a provisioning device of an edge computing service from among the electronic device or the at least one external device, receive, based on the electronic device being determined as the provisioning device, authentication information of at least one device, for which the edge computing service is to be provided, from the cloud server the communication module, and perform provisioning related to the edge computing service based on the authentication information.