Optimized Big Data Handling with Cloud-Based Parallel Divide and Conquer Techniques (A Review)
Year: 2025
Type: article
Abstract: The explosive growth of data across industries has challenged traditional data processing systems, necessitating scalable, efficient, and distributed solutions. This review explores the integration of the divide and conquer paradigm with parallel computing and cloud technologies to address Big Data handling. By examining current techniques, frameworks, and challenges, the article offers a comprehensive overview of how cloud-based parallel divide and conquer strategies optimize Big Data processing in terms of performance, scalability, and cost-efficiency.
Authors: Rajeev Singh, Yousuf Jamal
Institution: ITM University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414073045