AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing

Minimization of energy consumption (EC) is a challenging task in cloud computing while fulfilling the service level agreement (SLA) between service providers and user. User requests are processed by Virtual Machines (VMs), which require computing, memory, and other resources from physical machines (PMs). So, an effective mapping mechanism is necessary to accommodate VMs inside PMs with optimum usage of resources. In the current article, a meta-heuristic approach (AntPu) is proposed for dynamically placing VMs to minimize EC and SLA violations in the cloud datacenter. Extensive simulations were performed to analyze the results, which describes that the proposed approach has a notable improvement in energy consumption and service level agreement over other existing approaches.

Automated summary

In this article, a meta-heuristic approach (AntPu) is proposed to dynamically place VMs in the cloud datacenter to minimize energy consumption and SLA violations. Extensive simulations demonstrate a notable improvement in energy consumption and service level agreement compared to existing approaches.