Kevan Buckley

Work place: School of Mathematics & Computer Science, University of Wolverhampton, UK



Research Interests: Computer systems and computational processes, Computational Learning Theory, Planning and Scheduling, Computer Architecture and Organization, Data Structures and Algorithms


Dr Kevan Buckley is the Head of School of Mathematics and Computer Science at the University of Wolverhampton so has diverse interests across the subjects. In particularly he is interested in the application of Machine Learning and Optimisation techniques to data from a range of disciplines from Social Media to Forensic Science. Techniques for data capture, processing and storage underpin this research.

Author Articles
A Framework for Multi-Tenant Database Adoption based on the Influencing Factors

By Olumuyiwa Matthew Kevan Buckley Mary Garvey

DOI:, Pub. Date: 8 Mar. 2016

Multi-tenant databases (MTD) are aspect of computing that has become one of the revolutionary technologies of recent years. This technology has helped to discard the large-scale investments in hardware and software resources, in upgrading them regularly and also in expensive licences of application software used on in-house hosted database systems. A MTD is a way of deploying a Database as a Service (DaaS) for the convenience and benefits of tenants. This concept is good for higher scalability and flexibility but it involves a lot of technicalities. The adoption of a MTD is based on some salient factors which can be grouped into four categories for easy understanding. A survey is presented in this research that involves a focus group of thirty respondents. The result shows the degree of impact each factor has on the decision to adopt a MTD. This paper also considers these factors and develops a framework that will help prospective tenants to take an informed decision about the adoption of the concept.

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