An intelligent scheduling algorithm for energy efficiency in cloud environment based on artificial bee colony
Awatif Ragmani, Amina El Omri, Noreddine Abghour, Khalid Moussaid, Mohamed Rida · 2017
The development of Cloud computing applications has initiated a substantial influence on the data center expansion around the world. This expansion has led to an increase in energy consumption within the different data centers. Aware of the environmental and financial impact of the energy efficiency, several research studies have tackled the problem of the energy efficiency at the level of the hardware as well as scheduling algorithms. However, the majority of the proposed solutions such as Dynamic Voltage and Frequency Scaling (DVFS) have demonstrated a negative effect on response time where most Cloud applications required a high responsiveness. This paper suggests an energy efficiency solution for Cloud computing by applying a fast and smart algorithm. Firstly, the paper provides an evaluation of the energy efficiency within the Cloud environment through the Taguchi experience plan. Secondly, the article introduces a bee colony scheduling algorithm which aims to optimize the energy efficiency while guaranteeing an optimum response time. The validation results acquired from the GreenCloud simulator emphasize the effectiveness of the suggested scheduling analysis methodology.