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We follow some heuristics for dynamic consolidation of VMs based on the past resource usage data.
Based on dynamic consolidation technique, status is checked for every scheduled interval.
In his thesis [1], Anton Beloglazov proposed novel algorithms for distributed dynamic consolidation of VMs in virtualized cloud data centers.
Similarly, Khanna et al. [17] propose an approach for dynamic consolidation of VMs based on live migration.
Successful live migration of VMs among host to host without significant interruption of service results in dynamic consolidation of VMs.
Finite element models have been developed for the dynamic consolidation of both square and hexagonal fibre packings.
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This has been called the Dynamic VM Consolidation problem [24].
Previously Beloglazov and Buyya [3] proposed adaptive heuristics for energy and performance efficient dynamic VM consolidation.
In dynamic VM consolidation approach, VMs are resized in each iteration according to their need.
In order to solve the problem of energy and performance, efficient dynamic VM consolidation approach is introduced in literature.
The simulation checks CPU data every 5 min interval and those trace data is plugged into dynamic VM consolidation.
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