A High-Reliability Edge-Side Mobile Terminal Shared Computing Architecture Based on Task Triple-Stage Full-Cycle Monitoring

Ju, Bobo; Liu, Yang; Song, Liang; Gan, Guohui; Li, Zengwen; Jiang, Linhua

doi:10.1109/jiot.2023.3283370

Cited by 6 publications

(3 citation statements)

References 47 publications

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“…These established techniques, while pioneering in their own domains, do not fully address the nuanced challenges encountered in agricultural settings. The introduction of Block-DeepEdge by Rathore et al [16], the decentralized edge computing framework CoopEdge by Yuan et al [20], the high-reliability mobile terminal architecture by Ju et al [21], and the innovative data placement and retrieval service by Xie et al [22] each contribute to solving aspects of these challenges through distributed deep learning, blockchain technology, and enhanced data management. However, the PAIR Mechanism emerges as a tailored solution to the unique demands of agricultural data management, offering robust synchronization between edge and cloud databases that these other approaches indirectly support but do not specifically address for agricultural applications.…”

Section: Discussionmentioning

confidence: 99%

“…In our comprehensive review of recent literature, including significant contributions from [16,[20][21][22], we have encountered innovative approaches to edge computing and data synchronization. Despite this, our findings underscore a notable absence of methodologies comparable in simplicity and efficacy to the PAIR Mechanism over the five years since this project's inception.…”

Section: Discussionmentioning

confidence: 99%

“…It allows for real-time decision-making, as exemplified in crop irrigation scenarios where sensors process data locally for immediate irrigation decisions. Cooperative frameworks like CoopEdge, introduced by Yuan et al [20], leverage blockchain for secure and decentralized operations, while architectures proposed by Ju et al [21] ensure task reliability through comprehensive monitoring. Additionally, innovative data services discussed by Xie et al [22] facilitate efficient data handling in cooperative edge environments, underscoring edge computing's potential in real-time IoT applications.…”

Section: <5 Msmentioning

confidence: 99%

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A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud

Carvalho,

Riordan,

Walsh

2024

Future Internet

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This study presents a newly developed edge computing platform designed to enhance connectivity between edge devices and the cloud in the agricultural sector. Addressing the challenge of synchronizing a central database across 850 remote farm locations in various countries, the focus lies on maintaining data integrity and consistency for effective farm management. The incorporation of a new edge device into existing setups has significantly improved computational capabilities for tasks like data synchronization and machine learning. This research highlights the critical role of cloud computing in managing large data volumes, with Amazon Web Services hosting the databases. This paper showcases an integrated architecture combining edge devices, networks, and cloud computing, forming a seamless continuum of services from cloud to edge. This approach proves effective in managing the significant data volumes generated in remote agricultural areas. This paper also introduces the PAIR Mechanism, which is a solution developed in response to the unique challenges of agricultural data management, emphasizing resilience and simplicity in data synchronization between cloud and edge databases. The PAIR Mechanism’s potential for robust data management in IoT and cloud environments is explored, offering a novel perspective on synchronization challenges in edge computing.

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