Empirical Evaluation of a Method for Monitoring Cloud Services Based on Models at Runtime

Cloud computing is being adopted by commercial and governmental organizations driven the need to reduce operational cost of their information technology resources search for a scalable flexible way provide release software services. In this model, Quality Services (QoS) agreed between service providers customers through Service Level Agreements (SLA). There thus systematic approaches with which assess quality cloud services compliance SLA. previous work, we introduced generic method Monitoring using models at RunTime (MoS@RT), allows monitoring requirements or metric operationalizations these be changed runtime without modification underlying infrastructure. paper, present design infrastructure that supports proposed its instantiation specific platform reports results an experiment carried out evaluate perceived efficacy 58 undergraduate students when configure deployed on Microsoft Azure platform. The show participants MoS@RT easy use, useful, they also expressed intention use in future. Although further experiments must strengthen results, has proved promising