Automating Resource Management in Big Data Environments to Reduce Operational Costs

Abstract

This research article aims at evaluating the automation of resources in the big data environment especially in relation to the impact on the cost and operation. Automation incorporates real time data and predictive analytics which can enhance efficiency of resource management, reduce operation complications and significantly minimize cost. The article also provides examples of frameworks, technologies, methodologies, from current literature, to show how automation, and other intelligent algorithms enhance the performance and economy of the system. Others are future development as quantum, and edge computing that are also highlighted as future possibilities in big data adaptation.