# A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud
## 6 Conclusions  
Our investigation into the realm of agricultural data synchronization has highlighted significant limitations in the applicability of existing methods, such as the Distributed Ledger for IoT Data (DLT) articulated by [32] within this specific context. 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 [PERSON] et al. [16], the decentralized edge computing framework CoopEdge by [PERSON] et al. [20], the high-reliability mobile terminal architecture by [PERSON] et al. [21], and the innovative data placement and retrieval service by [PERSON] 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.  
Departing from more complex synchronization frameworks, the PAIR Mechanism provides a stark contrast to the localized beacon synchronization scheme proposed by [34], which, while efficient within its scope, does not cater to the broad-scale synchronization required in the agricultural space. The PAIR Mechanism's methodology eschews the granular control of data packets in favor of robust and repetitive data transmission, ensuring an unerring mirror of data states between edge and cloud databases. This streamlined process, which may appear rudimentary when compared to [34]'s nuanced time-slot allocation for beacon frames, embodies a deliberate move towards simplicity that enhances reliability and operational efficiency in distributed systems.  
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. No other proposed solution approaches the unique challenges of agricultural data management with a method as straightforward and effective as PAIR, distinguishing it as a pioneering approach in the field.  
The PAIR Mechanism, by simplifying synchronization strategies, marks a significant departure from previously complex frameworks and sets a new benchmark for reliability and efficiency in agricultural data flows. Its success prompts us to consider broader applications beyond agriculture, signaling potential expansions into various sectors. Future research will explore adapting the PAIR Mechanism to different industrial contexts and integrating alternative database technologies, including NoSQL, to enhance versatility and applicability. This direction aims to leverage PAIR's foundational principles to address the dynamic and diverse data synchronization needs across sectors, setting the stage for its evolution as a universal solution for data management challenges.  
Conceptualization, J.W.; Methodology, A.C., D.R. and J.W.; Software, A.C.; Validation, A.C. and D.R.; Formal analysis, A.C.; Investigation, A.C.; Resources, D.R.; Data curation, A.C.; Writing--original draft, A.C.; Writing--review & editing, D.R.; Supervision, D.R. and J.W.; Project administration, D.R. and J.W.; Funding acquisition, J.W. All authors have read and agreed to the published version of the manuscript. This research was funded by Science Foundation Ireland grant 13/RC/2094_P2. Data Availability Statement: Data are contained within the article. Conflicts of Interest: The authors declare no conflicts of interest.