MEE: A Hybrid Cloud Management Solution with Data Governance Method

Abstract

Cloud computing represents the modern way of IT efficiency. Though cloud adoption is growing rapidly, the overall adoption rate is still not ideal. This paper discusses the concerns about cloud computing from an enterprise perspective and proposes a solution of hybrid cloud with data governance methodologies. This solution uses holistic point of view, which combines data management methods and cloud computing technologies together, to answer and ease the concerns. Various topics between private cloud and public cloud are discussed and compared in the paper, include security, customization, data transfer, data/vendor lock-in, Software as a Service (SaaS) integration, cost, and resource provision. It is important to note these topics because cloud infrastructure management is not simply about cloud technologies but also data quality management. After a brief overview of data governance, a solution with modeling, enforcement, and evaluation (MEE) is proposed to manage a hybrid cloud infrastructure. This kind of research has the possibility to influence better adoption of cloud computing and improve data quality in the enterprise area.