CLOUD computing providers endeavor to deliver an optimal service with minimal disruptions and problems. To ensure that, they will need to know what their customers experience so that they can countermeasure the vulnerabilities and risk factors that threaten security, availability, and overall return satisfaction. To that end, CLOUD computing providers will need to conduct customer satisfaction evaluations to determine their experience with the service. CLOUD Risk Meter is the algorithm developed by the principal author. This software tool facilitates the assessment and management of CLOUD risk. Using game theory and statistically-driven methodologies, it provides objective, quantitative risk assessment, and unlike any other tool available today, guidance for allocating resources to bring an undesirable risk down to a user-determined tolerable level. The CLOUD Risk Meter provides a critical assessment and management tool for CLOUD computing providers as well as their customers. Those in industry and their customers will be greatly aided in their efforts to achieve greater CLOUD security and reliability by the use of a rational and objective tool for assessing and mitigating risk.

Dr. Sahinoglu is the founder of the Informatics Institute ('09), and Cyber-Security Program ('10) at Auburn University at Montgomery. An Eminent Scholar & Chair-Professor at Troy University's Computer Science (99-08) with a BSEE ('73) and MSEE ('75) from METU-Turkey and UMIST-UK, and a PhD ('81) from Texas A&M; he is the author of two Wiley texts.