| _version_ | 1866901906318688256 |
|---|---|
| author | Rohith Varma Vegesna |
| author_facet | Rohith Varma Vegesna |
| contents | <p>The need for real-time data synchronization in fuel stations has led to widespread adoption of cloud-based streaming services such as AWS Kinesis, which allows for high-throughput data ingestion and event processing but at the cost of increased complexity, latency, and additional operational expenses. Fuel controllers generate a constant stream of transactional data that must be transmitted to the cloud efficiently and with minimal delay. However, the reliance on Kinesis and Lambda introduces multiple processing stages that can degrade real-time performance. This paper explores an alternative approach using MongoDB Sync, enabling direct synchronization from local MongoDB instances within fuel controllers to cloud-hosted MongoDB databases. By eliminating the need for event-driven computation layers, such as Lambda, and reducing dependency on cloud-managed streaming solutions, MongoDB Sync offers a simplified, cost-effective, and low-latency data update mechanism. The proposed architecture ensures that fuel transactions and ATG data are continuously and reliably synchronized without the need for intermediary processing layers. This study examines the challenges of implementing MongoDB Sync in fuel station environments, evaluates key performance metrics such as latency and resource utilization, and presents a comparative analysis with Kinesis-based solutions to determine the effectiveness of the proposed approach in enhancing operational efficiency while minimizing costs.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14883171 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Using MongoDB Sync to Replace Kinesis for Real-Time Fuel Data Update Rohith Varma Vegesna <p>The need for real-time data synchronization in fuel stations has led to widespread adoption of cloud-based streaming services such as AWS Kinesis, which allows for high-throughput data ingestion and event processing but at the cost of increased complexity, latency, and additional operational expenses. Fuel controllers generate a constant stream of transactional data that must be transmitted to the cloud efficiently and with minimal delay. However, the reliance on Kinesis and Lambda introduces multiple processing stages that can degrade real-time performance. This paper explores an alternative approach using MongoDB Sync, enabling direct synchronization from local MongoDB instances within fuel controllers to cloud-hosted MongoDB databases. By eliminating the need for event-driven computation layers, such as Lambda, and reducing dependency on cloud-managed streaming solutions, MongoDB Sync offers a simplified, cost-effective, and low-latency data update mechanism. The proposed architecture ensures that fuel transactions and ATG data are continuously and reliably synchronized without the need for intermediary processing layers. This study examines the challenges of implementing MongoDB Sync in fuel station environments, evaluates key performance metrics such as latency and resource utilization, and presents a comparative analysis with Kinesis-based solutions to determine the effectiveness of the proposed approach in enhancing operational efficiency while minimizing costs.</p> |
| title | Using MongoDB Sync to Replace Kinesis for Real-Time Fuel Data Update |
| url | https://doi.org/10.5281/zenodo.14883171 |