SDN-cloud: a power aware resource management system for efficient energy optimization

Abstract

Purpose

In modern cloud services, resource provisioning and allocation are significant for assigning the available resources in efficient way. Resource management in cloud becomes challenging due to high energy consumption at data center (DC), virtual machine (VM) migration, high operational cost and overhead on DC.

Design/methodology/approach

In this paper, the authors proposed software-defined networking (SDN)-enabled cloud for resource management to reduce energy consumption in DC. SDN-cloud comprises four phases: (1) user authentication, (2) service-level agreement (SLA) constraints, (3) cloud interceder and (4) SDN-controller.

Findings

Resource management is significant for reducing power consumption in CDs that is based on scheduling, VM placement, with Quality of Service (QoS) requirements.

Research limitations/implications

The main goal is to utilize the resources energy effectively for reducing power consumption in cloud environment. This method effectively increases the user service rate and reduces the unnecessary migration process.

Originality/value

As a result, the authors show a significant reduction in energy consumption by 20 KWh as well as over 60% power consumption in the presence of 500 VMs. In future, the authors have planned to concentrate the issues on resource failure and also SLA violation rate with respect to number of resources will be decreased.

Citation

Shrabanee, S. and Rath, A.K. (2020), "SDN-cloud: a power aware resource management system for efficient energy optimization", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 4, pp. 321-343. https://doi.org/10.1108/IJIUS-07-2019-0032