Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62530
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electronics and Telecommunication
Sinhgad College of Engineering
Department of Electronics and Telecommunication
Sinhgad College of Engineering
Department of Electronics and Telecommunication
Sinhgad College of Engineering
Department of Electronics and Telecommunication
Sinhgad College of Engineering
Railway stations rely on multiple digital display boards to provide real-time information such as train arrivals, departures, platform numbers, and status updates. In conventional architectures, each display unit independently communicates with a centralized railway server, leading to repetitive data requests, increased network congestion, higher latency, and excessive server load. These issues become more critical as the number of display units increases, affecting overall system efficiency and responsiveness To address these challenges, a lightweight embedded HTTP proxy cache system is implemented using the Raspberry Pi 3 platform. The proposed system acts as an intermediary between the central server and multiple display clients by intercepting HTTP requests and storing frequently accessed data in a local cache. When the same data is requested again, it is served directly from the cache instead of contacting the central server, thereby reducing redundant communication. The system is developed using TCP/IP socket programming and supports concurrent client handling, ensuring reliable and scalable performance in real-time environments. The caching mechanism significantly reduces bandwidth consumption, improves response time, and minimizes server workload. Additionally, the architecture supports continuous data updates and efficient cache management, making it suitable for dynamic information systems. The developed system demonstrates enhanced scalability and stable performance when multiple display boards operate simultaneously. Overall, the proposed solution provides a cost-effective, energy-efficient, and practical approach for centralized railway information systems and can be extended to other real-time data distribution applications.
KEYWORDS
This research work successfully establishes that a lightweight and efficient HTTP proxy cache system can be implemented on a low-power embedded platform without compromising performance. The proposed system effectively minimizes redundant data transfers by storing and serving frequently accessed content locally, thereby reducing network congestion and significantly improving response time. The experimental results demonstrate that the system is capable of handling multiple client requests with stable and reliable performance, making it suitable for real-time and resource-constrained environments. Its cost-effectiveness and low power consumption further enhance its practicality for deployment in small-scale networks and embedded applications. Moreover, this study highlights the increasing capability of embedded systems to undertake networking functionalities that were traditionally limited to high-performance servers. The integration of caching mechanisms with embedded platforms opens new possibilities in IoT and edge computing, where efficient data management and faster access are critical. In conclusion, the developed HTTP proxy cache system proves to be a scalable, efficient, and viable solution, contributing to the advancement of embedded networking technologies and offering a strong foundation for future enhancements and research in this domain.
[1] Kroeger, T., Long, D. D. E., & Mogul, J. C. Exploring the Bounds of Web Latency Reduction from Caching and Prefetching. USENIX Symposium, 1997. [2] Dias, R., Fiorese, A., Guardalben, L., Sargento, S. A distributed caching architecture for Overthe-Top content distribution. WONS, 2018. [3] Fielding, R. T., et al. Hypertext Transfer Protocol– HTTP/1.1. IETF RFC 2616, 1999. [4] Singh et al., Secure MQTT for the Internet of Things (IoT). [5] Li Chen, Design and Implementation of Lightweight Web Server for Embedded System. [6] Lerche, C., Laum, N., Niedermeier, C., Golatowski, F., Timmermann, D.Connecting the Web with the Web of Things: A CoAP-HTTP Proxy. IMIS, 2012. [7] ElAarag, H. Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation. Springer, 2013. [8] Ali, W., Shamsuddin, S. M., Ismail, A. S. Intelligent Web Proxy Caching Approaches Based on Machine Learning Techniques. Decision Support Systems, 2012. [9] Feldmann, A., Caceres, R., Douglis, F., Glass, G. Performance of Web Proxy Caching in Heterogeneous Bandwidth Environments. IEEE INFOCOM, 1999. [10] ElAarag, H. Web Object-Based Storage Management in Proxy Caches. Future Generation Computer Systems, 2006.
Publication Date
5/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...