Methodology for Information Management and Data Assessment in Cloud Environments

Abstract

The emergence of cloud technologies has affected the service computing ecosystem introducing new roles and relationships as well as new architectural and business models. Along with the increase of capabilities and potentials of the service providers comes the increase of the information available and issues to efficiently manage it. In this paper, an architectural approach is presented that involves a combination of a cloud-enabled data model, the monitoring infrastructure and the establishment of assessment mechanisms which are based on factors such as trust, risk, energy and cost (TREC factors). This architectural model discusses the monitoring features as well as the how the assessment functionalities can work together with other components to produce a self-reliant cloud ecosystem preventing any fails during the service lifecycle. This paper elaborates on how the self-management, by using decision-making processes, can maximise business level objectives of the providers. The results presented in the paper show how the suggested architecture can help develop efficient cloud architecture.