Performance and Energy Modeling for Live Migration of Virtual Machines
Live migration of Virtual Machine (VM) provides a significant benefit for virtual server mobility without disrupting service. It is widely used for system management in virtualized data centers. However, migration costs may vary significantly for different workloads due to the variety of VM configurations and workload characteristics. To take into account the migration overhead in migration decision making, the authors investigate design methodologies to quantitatively predict the migration performance and energy cost. They thoroughly analyze the key parameters that affect the migration cost from theory to practice.