Abstract
The increasing growth in the demand for cloud computing services, due to the increasing digital transformation and the high elasticity of the cloud, requires more efforts to improve the electrical energy efficiency of cloud data centers. In this paper, an energy-efficient hybrid (EEH) framework for improving the efficiency of consuming electrical energy in data centers is proposed and evaluated. The proposed framework is based on both the request scheduling and servers consolidation approaches rather than depending only on one approach as in the existing related works. The EEH framework sorts the customers' requests (tasks) according to their time and power needs before performing the scheduling. It has a scheduling algorithm that considers power consumption when taking its scheduling decisions. It also has a consolidation algorithm that determines the underloaded servers to be slept or hibernated, the overloaded servers, the virtual machines to be migrated and the servers that will receive migrated virtual machines. In addition, the EEH framework includes a migration algorithm for transferring migrated virtual machines to new servers. Results of simulation experiments indicate the superiority of the EEH framework to the utilization of one approach only to reduce power consumption in terms of power usage effectiveness (PUE), data center energy productivity (DCEP), average execution time, throughput and cost saving.
Highlights
Most existing IT-based businesses employ cloud computing technology
VOLUME 8, 2020 and the consolidation approaches are more popular than the hardware approach in green cloud computing, and our work considers them
This paper presents a hybrid framework that depends on employing both software and consolidation approaches
Summary
Most existing IT-based businesses employ cloud computing technology. Cloud computing is a growing technology and cloud vendors, such as Google, Amazon, and Microsoft, continuously add more services for their cloud environments to keep their chances of competition and meet the increasing requirements of customers. Jones expected that information and communication technology activities will use 20.9% of the global demand for electricity by 2030 She stated that each year, data centers exhaust electrical power of. With respect to the above observations, how to realize the desired green computing is still a great challenge and a primary concern in cloud computing environments [9], [10] It represents an essential trend for providers, customers and the environment with the objectives of reducing operational costs and emission levels of CO2 [11]. The primary goal of green computing is to ensure better levels of consumption of electrical energy in computing systems like cloud and grid computing systems With this vision, the main contribution of this work is to provide an energy-efficient hybrid (EEH) framework for improving the efficiency of consuming electrical energy in data centers.
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