Factors affecting cloud data-center efficiency: a scheduling algorithm-based analysis
Shehloo Arif Ahmad, Butt Muheet Ahmed, Zaman Majid · International Journal of Advanced Technology and Engineering Exploration · 2021
Nowadays, users are required to cache, scrutinise, and process massive datasets from various fields, including science, business, and research.As a result, they require data-intensive platforms with ample storage and processing power.In addition, many of these kinds of platforms must-have features like parallel processing, fault tolerance, data dissemination, scalability, availability, and load balancing.Google developed the MapReduce programming paradigm to counter this problem, which served as the foundation for Apache's open-source Hadoop project.