Reduzindo a Sobrecarga da Live Migration de Máquinas Virtuais via Análise de Carga de Trabalho (Reducing Virtual Machine Live Migration Overhead via Workload Analysis)

Artur Baruchi (, Edson Toshimi Midorikawa (, Liria Matsumoto Sato (

University of Sao Paulo
This paper appears in: Revista IEEE América Latina

Publication Date: April 2015
Volume: 13,   Issue: 4 
ISSN: 1548-0992

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.

Index Terms:
Live Migration , Virtual Machine , Cloud Computing.   

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