Analysis on Text Compression Algorithms

In the rapidly evolving digital age, the exponential growth of data accumulation has become a ubiquitous challenge, necessitating efficient file compression techniques for optimized data handling, transmission, and storage. The fundamental concepts and advancements in file compression are explored, shedding light on its significance in today’s data-driven world, especially in the field of cloud computing. Cloud computing demands resource efficiency and cost-effectiveness, making compression crucial for data management. Among these techniques, Huffman Coding (Statistical Algorithm) and LZ77 (Dictionary-Based Algorithm) are two prominent algorithms that have found widespread applications in various fields, ranging from data storage and communication to multimedia compression. Additionally, the combination of both Huffman Coding and LZ77 (Deflate Algorithm) are examined, which explores the hybrid compression techniques that harness the strengths of both algorithms. Overall, a comprehensive overview of file compression techniques and their applications are provided, making it a valuable resource for professionals and researchers seeking to optimize data management in the face of mounting data volumes and cloud-based demands.