Title:
|
AN EXPERT SYSTEM APPROACH FOR THE SELECTION OF CLOUD SERVICE DELIVERY AND DEPLOYMENT MODELS |
Author(s):
|
Mustafa I. M. Eid, Ibrahim M. Al-Jabri and Mohammed Sadiq Sohail |
ISBN:
|
978-989-8533-62-3 |
Editors:
|
Miguel Baptista Nunes, Pedro IsaĆas and Philip Powell |
Year:
|
2017 |
Edition:
|
Single |
Keywords:
|
Expert systems, cloud service models, cloud deployment models, cloud computing adoption, cloud computing management, characteristics of cloud computing mod |
Type:
|
Full Paper |
First Page:
|
133 |
Last Page:
|
144 |
Language:
|
English |
Cover:
|
|
Full Contents:
|
click to dowload
|
Paper Abstract:
|
The pervasive and expanding interest of many organizations worldwide in adopting cloud technology affirms its effectiveness in terms of cost and time. However, one of the challenging decisions facing management in adopting cloud services is what combinations of cloud service delivery (SaaS, PaaS, or, IaaS) and deployment models (Private, Public, Hybrid, or Community) to take on. A literature review found a lack of research work addressing this selection decision problem. To fill the research gap, the paper proposes an expert system approach for reaching a managerial decision on the right combination of service delivery and deployment models for a business firm to adopt. The paper proposes a rule-based expert system prototype, which provides advice based on criteria that utilize a set of relevant key characteristics of the cloud service delivery and deployment models. Then it evaluates the system prototype. Lastly, the paper will conclude with a discussion of the research results, its practical implications, limitations, and further research directions. |
|
|
|
|