Abstract
Cloud data centers consume huge amount of electrical energy bringing about in high operating costs and carbon dioxide emissions. Virtual machine (VM) consolidation utilizes live migration of virtual machines (VMs) to transfer a VM among physical servers in order to improve the utilization of resources and energy efficiency in cloud data centers. Most of the current VM consolidation approaches tend to aggressive-migrate for some types of applications such as large capacity application such as speech recognition, image processing, and decision support systems. These approaches generate a high migration thrashing because VMs are consolidated to servers according to VM’s instant resource usage without considering their overall and long-term utilization. The proposed approach, dynamic consolidation with minimization of migration thrashing (DCMMT) which prioritizes VM with high capacity, significantly reduces migration thrashing and the number of migrations to ensure service-level agreement (SLA) since it keeps VMs likely to suffer from migration thrashing in the same physical servers instead of migrating. We have performed experiments using real workload traces compared to existing aggressive-migration-based solutions; through simulations, we show that our approach improves migration thrashing metric by about 28%, number of migrations metric by about 21%, and SLAV metric by about 19%.
Highlights
Cloud computing is currently receiving considerable attention from both academic and industrial communities due to the ever-growing applications and the economy of cloud computing
Experiment-1 shows that the proposed algorithm reduces the number of migrations by up to 26.93%, average service-level agreement (SLA) violation up to 6.09%, SLA violation time per active host (SLATAH) up to 20.12%, SLAV up to 25.38%, and performance degradation due to migrations (PDMs) up to 5.23%, and reduces the mean thrashing index by up to 26.13% than MMT while using workload1, etc
Experiment-2 shows that the proposed algorithm reduces the number of migrations by up to 29.45%, SLA violation up to 3.98%, SLATAH up to 16.99%, SLAV up to 19.42%, and PDM up to 5.23%, and reduces the mean thrashing index by up to 26.95% than MMT while using workload2, etc
Summary
Cloud computing is currently receiving considerable attention from both academic and industrial communities due to the ever-growing applications and the economy of cloud computing. Is process is referred to as VM consolidation, which enables consolidating VM to the minimum physical servers dynamically when user demand changes and VMs are needed to be reallocated resources, and effectively reducing the power consumption of a cloud data center by shutting down unused servers [10]. Some VMs may not receive the required resources due to workload dynamic change As a result, they need be migrated again and again.
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