Atharva Digamber Katurde
Bhakti Bharat Shinde
Soham Vijay Kolapkar
Riya Girish Kshirsagar
Jitendra Musale
Anil Lohar
- Student Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
- Student Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
- Student Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
- Student Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
- Assistant Professor Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
- Assistant Professor Department of Computer Engineering, ABMSP’s Anantrao Pawar College of Engineering and Research Pune Maharashtra India
Abstract
This article involves the application of data compression techniques to improve the efficiency and performance of the core infrastructure of modern digital networks. This approach focuses on reducing the size of transmitted data without compromising its quality, aiming to enhance network throughput, reduce latency, and minimize energy consumption. The study also considers practical implementation challenges and trade-offs to optimize resource utilization in backbone networks. We delve into various compression methods, including lossless and lossy compression algorithms, and evaluate their effectiveness in reducing data size without compromising the quality of transmitted information. We also investigate the potential benefits of data deduplication and data pruning in further minimizing data traffic within backbone networks. We discuss the practical challenges associated with implementing data compression in backbone networks, considering issues such as real-time data processing, security, and scalability. Efficiency is a paramount concern in modern network design, and data compression plays a pivotal role in achieving this goal. We analyze the impact of data compression on network throughput, latency, and energy consumption, providing insights into how these techniques can be leveraged to meet the stringent demands of today’s digital landscape.
Keywords: Compression, backbone networks, infrastructure, optimization, transmission, performance, algorithms, Data compression, backbone networks, network efficiency, data transmission, network performance, compression algorithms
[This article belongs to Journal of Multimedia Technology & Recent Advancements(jomtra)]
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Journal of Multimedia Technology & Recent Advancements
| Volume | 11 |
| Issue | 01 |
| Received | February 16, 2024 |
| Accepted | April 2, 2024 |
| Published | April 4, 2024 |