Energy efficient resource allocation for big data processing in Heterogeneous Cloud Computing Centers

Abstract

In order to effectively analyse large data, this study provides a novel technique for dealing with the challenges posed by resource allocation in HCCCs. In order to optimise resource allocation, the suggested technique makes use of a hybrid algorithm called the Artificial Bee Colony with Gravitational Optimisation Algorithm (ABC-GOA). This algorithm places an emphasis on energy saving as well as performance. The efficacy of the ABC-GOA algorithm has been shown via rigorous testing and research. It has outperformed standard resource allocation strategies in terms of energy efficiency, processing time, and system utilisation. This novel technique shows potential for boosting energy-efficient resource allocation in HCCC, contributing to lower operating costs and environmental impact, and consequently redefining the landscape of big data processing in heterogeneous cloud computing environments. HCCC is a hybrid cloud computing centre.