To enhance the utilization of the resources in cloud computing systems and minimize power usage, VM consolidation can be utilized by putting the workless PMs on silent. A huge quantity of electricity is utilized by cloud computing systems, which leads to severe CO2 emission. So, increasing the demand for CCS-based services will lead to a progressive rise in CCSs' electricity consumption. Also, we reviewed related work regarding the resources of PMs, algorithm methods, metrics, architectures, and the objectives in static/dynamic VM consolidation.Ĭloud computing is an on-demand-based model associated with the payment for each service requiring many PMs. This study presents a taxonomy comprising resource assignment method, metrics, objective functions, migration methods, algorithmic methods, co-location criteria of VMs, architectures, workload dataset, and evaluation approaches in VM consolidation CCSs. Essentially, VM consolidation must minimize energy utilization and service quality in the cloud system. A VM consolidation algorithm can be an effective technique for reducing energy consumption, operational cost, hardware cost, Service Level Agreements (SLAs) compliance/violation, CO2 emissions, and enhancing the hardware and service reliability, performance, and hardware lifetime, load balancing, and utilization in CCSs. Virtualization enables live migration of Virtual Machines (VMs) where several VMs can be loaded on some Physical machines (PMs) called VM consolidation. Virtualization technologies are widely used to facilitate the management of CCSs and reduce their energy consumption. Consequently, their energy consumption has also become an increasingly essential concern in Cloud Computing Systems (CCSs). For instance, email services, social networks, and others. Cloud systems play a vital and significant role in our daily lives due to various internet services.
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