Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds

Abstract

Efficient Virtual Machine (VM) provisioning and allocation allows the cloud providers to effectively utilize their available resources and obtain higher profits. Existing combinatorial auction-based mechanisms assume that the VM instances are already provisioned, that is they assume static VM provisioning. A better solution would be to take into account the users' demand when provisioning VM instances. We design an auction-based mechanism for dynamic VM provisioning and allocation that takes into account the user demand for VMs when making VM provisioning decisions. We perform extensive simulation experiments using real workload traces and show that the proposed mechanism can improve the utilization, increase the efficiency of allocation, and yield higher revenue for the cloud provider.