Skip navigation

A categorisation of cloud computing business models

A categorisation of cloud computing business models

Chang, Victor, Bacigalupo, David, Wills, Gary and De Roure, David (2010) A categorisation of cloud computing business models. In: Proceedings 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid 2010). IEEE Conference Publications . The Institute of Electrical and Electronics Engineers, Inc., Los Alamitos, California & New York, USA and Tokyo, Japan, pp. 509-512. ISBN 978-0-7695-4039-9/10 (doi:10.1109/CCGRID.2010.132)

Full text not available from this repository.

Abstract

This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models. We classify cloudcomputing business models into eight types: (1) Service Provider and Service Orientation; (2) Support and Services Contracts; (3) In-House Private Clouds; (4) All-In-One Enterprise Cloud; (5) One-Stop Resources and Services; (6) Government Funding; (7) Venture Capitals; and (8) Entertainment and Social Networking. Using the Jericho Forum’s ‘Cloud Cube Model’ (CCM), the paper presents a summary of the eight business models. We discuss how the CCM fits into each business model, and then based on this discuss each business model’s strengths and weaknesses. We hope adopting an appropriate cloud computing business model will help organisations investing in this technology to stand firm in the economic downturn.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid 2010)
Additional Information: [1] 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), Melbourne, Australia, 17–20 May, 2010
Uncontrolled Keywords: cloud computing business models, a categorisation of cloud computing business models, cloud cube model
Subjects: H Social Sciences > HF Commerce
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Business > Department of Systems Management & Strategy
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5620

Actions (login required)

View Item View Item