Current Volume 9
Abstract
The rapid growth of network traffic generated by cloud computing, multimedia applications, data canters, and Internet of Things (IoT) devices has created significant challenges in bandwidth utilization and data transmission efficiency. Lossless compression techniques play a critical role in reducing network traffic while preserving data integrity. However, conventional compression algorithms often introduce computational overhead and latency that limit their suitability for high-speed network environments. This paper presents the design and implementation of a Fast Lossless Compression Engine (FLCE) for computer networks. The proposed engine combines lightweight statistical analysis, adaptive encoding, and block-based compression techniques to achieve efficient data reduction with minimal processing delay. Experimental evaluation demonstrates improvements in compression ratio, throughput, and latency compared with traditional Huffman and LZW-based approaches. The proposed solution is suitable for routers, gateways, edge devices, and real-time communication systems requiring fast and reliable data transmission.
Keywords
Fast Lossless Compression Engine (FLCE), Lossless Data Compression, Network Traffic Optimization, Adaptive Encoding, Bandwidth Utilization, High-Speed Networks, Edge Computing, Real-Time Communication Systems.
Citations
IRE Journals:
Anuja M, Kousalya Devi S "Design and Implementation of a Fast Lossless Compression Engine for Computer Networks" Iconic Research And Engineering Journals Volume 6 Issue 6 2022 Page 492-497 https://doi.org/10.64388/IREV6I6-1718601
IEEE:
Anuja M, Kousalya Devi S
"Design and Implementation of a Fast Lossless Compression Engine for Computer Networks" Iconic Research And Engineering Journals, 6(6) https://doi.org/10.64388/IREV6I6-1718601
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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