Uncertainty-aware Optimization of Resource Provisioning, a Cloud End-user Perspective

Masoumeh Tajvidi, Michael J. Maher, Daryl Essam

2017

Abstract

Cloud computing offers a customer the possibility of the availability of large computational resources, while paying only for the resources used. However, because of uncertainty in the customers future demand and the future market price for the computational resources, obtaining these resources in a cost-effective and robust way is a difficult problem. The variety of pricing plans is a further complication. In this paper we solve this problem using two-stage stochastic programming, for the first time considering all three available pricing plans, i.e. on-demand, reservation, and spot pricing. Through our experimental implementation, we find that our model can lower the total operational cost by up to 1.5 percent compared to other solutions.

Paper Citation

in Harvard Style

Tajvidi M., Maher M. and Essam D. (2017). Uncertainty-aware Optimization of Resource Provisioning, a Cloud End-user Perspective . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 321-328. DOI: 10.5220/0006234103210328

in Bibtex Style

@conference{closer17,
author={Masoumeh Tajvidi and Michael J. Maher and Daryl Essam},
title={Uncertainty-aware Optimization of Resource Provisioning, a Cloud End-user Perspective},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006234103210328},
isbn={978-989-758-243-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Uncertainty-aware Optimization of Resource Provisioning, a Cloud End-user Perspective
SN - 978-989-758-243-1
AU - Tajvidi M.
AU - Maher M.
AU - Essam D.
PY - 2017
SP - 321
EP - 328
DO - 10.5220/0006234103210328