Comparative study on Efficient Encoding and Partial-Loss Recovery using OCC

This paper presents the design and implementation of an Optimized Cauchy Coding (OCC) technique aimed at improving the reliability, efficiency, and scalability of distributed storage systems. OCC is an advanced form of erasure coding that leverages Cauchy matrices to achieve fault tolerance with reduced computational overhead compared to conventional Reed-Solomon coding. In the proposed system, files are divided into multiple encoded chunks and distributed across storage nodes. Even if a significant portion of these chunks is lost or corrupted, the original file can be fully reconstructed using the remaining chunks, ensuring robust data recovery. This approach enhances storage efficiency by minimizing redundancy while maintaining high levels of data availability. The system further provides resilience against node failures, making it suitable for cloud storage, edge computing, and high-availability applications. Performance analysis demonstrates that OCC achieves faster encoding and decoding speeds while maintaining lower complexity than traditional erasure codes. By combining optimized matrix operations with practical storage strategies, the proposed OCC framework offers a balance between reliability, computational efficiency, and scalability. This research highlights the potential of OCC as a viable solution for secure, efficient, and fault-tolerant data management in modern distributed environments.