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- W1658444794 abstract "A key feature in virtualization technology is the Live Migration, which allows a Virtual Machine (VM) to be moved from a physical host to another without execution interruption. This feature enables the implementation of more sophisticated policies inside a cloud environment, such as energy and computational resources optimization, and improvement of quality-of-service. However live migration can impose severe performance degradation for the VM application and cause multiple impacts in service provider infrastructure, such as network congestion and co-located VM performance degradation. Different of several studies we consider the VM workload an important factor and we argue that carefully choosing a proper moment to migrate a VM can reduce the live migration penalties. This paper introduces a method to identify the workload cycles of a VM and based on that information it can postpone or, in some situations. In our experiments, using relevant benchmarks the proposed method was able to reduce up to 43% of network data transfer and reduce up to 74% of live migration time when compared to traditional consolidation strategies that perform live migration without considering the VM workload." @default.
- W1658444794 created "2016-06-24" @default.
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- W1658444794 date "2015-04-01" @default.
- W1658444794 modified "2023-10-03" @default.
- W1658444794 title "Reducing Virtual Machine Live Migration Overhead via Workload Analysis" @default.
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- W1658444794 doi "https://doi.org/10.1109/tla.2015.7106373" @default.
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