Abstract
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 offered 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 different 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 different QoS levels, proposing a mapping of those levels into the charging models offered 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.
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Vieira, C.C.A., Bittencourt, L.F., Madeira, E.R.M. (2013). Towards a PaaS Architecture for Resource Allocation in IaaS Providers Considering Different Charging Models. In: Altmann, J., Vanmechelen, K., Rana, O.F. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2013. Lecture Notes in Computer Science, vol 8193. Springer, Cham. https://doi.org/10.1007/978-3-319-02414-1_14
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DOI: https://doi.org/10.1007/978-3-319-02414-1_14
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