Improving Software Response Times for Fuel Controller Queries
Abstract
Fuel stations worldwide rely on real time data exchanges between local controllers, fuel dispensers, and cloud services for efficient operations and rapid decision making. However, physical distance and network bottlenecks can introduce latency in these critical data flows, affecting safety checks, maintenance alerts, and overall service quality. This paper proposes a multi-region, high-availability architecture to enhance the responsiveness of queries directed at fuel controllers. By leveraging geographically distributed cloud resources, robust load-balancing mechanisms, distributed caching, and resilient microservices, the system can quickly adapt to varying network conditions and traffic loads. The design ensures that controllers access the nearest available server location, thereby reducing round-trip times and improving fault tolerance in the event of regional service disruptions. A pilot implementation illustrates that average query responses can be improved by upwards of 70% through proper replication and caching strategies. This work highlights how an optimized cloud-native approach can not only reduce latency but also strengthen overall reliability and scalability in fuel station environments.
How to Cite This Article
Rohith Varma Vegesna (2021). Improving Software Response Times for Fuel Controller Queries . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(2), 294-297. DOI: https://doi.org/10.54660/IJMRGE.2021.2.2.294-297
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