Data center resource mapping algorithm based on the ant colony optimization

In this paper we present a data center resource mapping algorithm based on the ant colony optimization approach. The algorithm considers data centers to present IaaS model and can be used in a joint scheduler for all resource types. The algorithm uses ant colony optimization approach to map resource requests to physical computational nodes and data storages. The shortest path algorithm is used to map virtual channels to the data center´s physical network channels and network switches. We then present a comparison of the developed algorithm with an algorithm based on greedy and limited exhaustive search strategies.