Cloud Computing Market Segmentation

Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao

2018

Abstract

The topics of cloud pricing models and resources management have been receiving enormous attention recently. However, very few studies have considered the importance of cloud market segmentation. Moreover, there is no a better, practical and quantifiable solution for a cloud service providers (CSP) to segment cloud market. We propose a novel solution that combines both hierarchical clustering and time series forecasting on the basis of the classical theory of market segmentation. In comparison with some traditional approaches, such as nested, analytic, Delphi, and strategy-based approaches, our method is much more effective, flexible, measurable and practical for CSPs to implement their cloud market strategies by rolling out different pricing models. Our tested results and empirical analysis show that our solution can efficiently segment cloud markets and also predict the market demands. Our primary goal is to offer a new solution so that CSPs can tail its limited cloud resources for its targeted market or cloud customers.

Paper Citation

in Harvard Style

Wu C., Buyya R. and Ramamohanarao K. (2018). Cloud Computing Market Segmentation.In Proceedings of the 13th International Conference on Software Technologies - Volume 1: SE-CLOUD, ISBN 978-989-758-320-9, pages 888-897. DOI: 10.5220/0006928008880897

in Bibtex Style

@conference{se-cloud18,
author={Caesar Wu and Rajkumar Buyya and Kotagiri Ramamohanarao},
title={Cloud Computing Market Segmentation},
booktitle={Proceedings of the 13th International Conference on Software Technologies - Volume 1: SE-CLOUD,},
year={2018},
pages={888-897},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006928008880897},
isbn={978-989-758-320-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Software Technologies - Volume 1: SE-CLOUD,
TI - Cloud Computing Market Segmentation
SN - 978-989-758-320-9
AU - Wu C.
AU - Buyya R.
AU - Ramamohanarao K.
PY - 2018
SP - 888
EP - 897
DO - 10.5220/0006928008880897