Efficient Provisioning of Bursty Scientific Workloads on the Cloud Using Adaptive Elasticity Control
Elasticity is the ability of a cloud infrastructure to dynamically change the amount of resources allocated to a running service as load changes. We build an autonomous elasticity controller that changes the number of virtual machines allocated to a service based on both monitored load changes and predictions of future load. The cloud infrastructure is modeled as a G=G=N queue. This model is used
