Cloud computing is described, in this work, as overcoming the main issues of the computational world. It may be more accurately considered as compensating for resource availability, provisioning, and allocation decisions, while simultaneously introducing security and management cost impacts.

A strategy is proposed in this work to optimize the rollout of the virtual network across the backbone using a metaheuristic of ants finding a food source, or of finding the shortest path from the source of client requests. The authors show that the shortest path requires the minimum physical resources that can satisfy the request with the required quality of service in terms of bandwidth, processing power, and memory. The overall goal of the scheme is to maximize operator revenue by maximizing the acceptance probability for future network resource requests.

The concept presented here involves a slant on the cloud resource allocation challenge widely discussed in related research. In this work, the challenge is described from the perspective of maximizing the minimum unused capacity, so that the total network load may be maximized. Performance is measured according to the request reply rate, provisioning cost of requests, revenue of virtual network requests, and usage rate of links. Maximizing the minimum unused capacity is an unnecessarily complicated approach to describe the objective, which could instead be discussed as minimizing the unused capacity.

To summarize the contribution of this paper, it is a minor variation on a subject that is already well investigated.