Towards a PaaS Architecture for Resource Allocation in IaaS Providers Considering Different Charging Models

With the increase in computing infrastructure commercialization through the pay-as-you-go model, competition among providers puts the user as a decision agent on which is the best provider to comply with his/her demands and requirements. Currently, users rely on instances o ered as on-demand, reserved, and spot to decide which is the best resource allocation model over the time. In this work, we present substantial contributions to compose a PaaS architecture that leverages di erent charging models, where we propose the use of a new charging model called time-slotted reservation. Moreover, we developed an integer linear program (ILP) to perform the scheduling of incoming requests according to di erent QoS levels, proposing a mapping of those levels into the charging models o ered by IaaS providers. Simulations show the applicability of the ILP in the proposed model, being able to maximize the number of requisitions executed following the user’s QoS requirements.