The increasing demand for diverse, mobile applications with various degrees of Quality of Service requirements meets the increasing elasticity of on-demand resource provisioning in virtualized cloud computing infrastructures. This paper provides a dynamic optimization approach for enhanced cloud infrastructures, based on the concept of cloudlets, which are located at hotspot areas throughout a metropolitan area. In conjunction, we consider classical remote data centers that are rigid with respect to QoS but provide nearly abundant computation resources. Given fluctuating user demands, we optimize the cloudlet placement over a finite time horizon from a cloud infrastructure provider's perspective. By the means of a custom tailed heuristic approach, we are able to reduce the computational effort compared to the exact approach by at least three orders of magnitude, while maintaining a high solution quality with a moderate cost increase of 5.8% or less.
@article{arxiv.1807.02615,
title = {Little Boxes: A Dynamic Optimization Approach for Enhanced Cloud Infrastructures},
author = {Ronny Hans and Björn Richerzhagen and Amr Rizk and Ulrich Lampe and Ralf Steinmetz and Sabrina Klos and Anja Klein},
journal= {arXiv preprint arXiv:1807.02615},
year = {2018}
}