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

Abstract

PurposeIn 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/approachIn 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.FindingsResource management is significant for reducing power consumption in CDs that is based on scheduling, VM placement, with Quality of Service (QoS) requirements.Research limitations/implicationsThe 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/valueAs 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.

Software-Defined Network-Based Energy-Aware Routing Method for Wireless Sensor Networks in Industry 4.0

“…Software-defined networks have also been recently used for energy optimization purposes [18,19]. In [18], a binary linear programming model was proposed to manage the switches and SDN controllers based on different metrics, including traffic on the link, several flows at the network edge, and the distance between switches and controllers.…”

“…The results in [18] revealed that the proposed approach saves up to 40% of the energy consumption. Shrabanee et al [19] proposed an SDN-based resource management approach. In particular, the SDN enabled the cloud to manage resources efficiently, thus consuming less energy.…”

“…In particular, the SDN enabled the cloud to manage resources efficiently, thus consuming less energy. The results in [19], obtained using a data center example, showed that the proposed SDN-based resource management strategy reduces 60% of the power consumption.…”

“…In recent years, SDNs have been successfully deployed in many fields to meet the requirements of the smart industry [17]. Moreover, they have demonstrated promising results regarding energy consumption optimization [18,19]. Software-defined network architectures separate the control plane (networking logic) from the data plane (routers and switches) to enable parallel processing and centralized control, which improves traditional network programmability, flexibility, scalability, and management [20,21].…”

Software-defined networks for resource allocation in cloud computing: A survey

“…Energy optimization: The energy consumption resulted from network and computing resources is still very large, which negatively affects the total costs of the providers and the users, in addition to environmental pollution [162]. The use of more meta-heuristic algorithms helps to minimize the issue of ensuring the fulfilment of the SLA and energy-saving when taking into account that one is not influenced by the other.…”