부산대학교 도서관

Cloud environments are criticized for their volatility in performance aspects, making it extremely difficult for time- critical applications owners to perform the decisive step for migration and owners of SaaS to present performance vs cost tradeoffs to their customers when acting as IaaS customers. The aim of this work is to present an architectural approach based on which a)IaaS providers may enhance the stability and performance effectiveness of their infrastructures, through overhead modelling, runtime analysis and optimal groupings of concurrently running services, b) IaaS adopters to understand the application computational nature, investigate abstracted QoS metrics for providers ranking, minimize procurement time and selection processes, automate deployment/orchestration and monitor the maintenance of their SLA c) 3rd parties to act as independent validators of IaaS QoS features, through a constant monitoring and benchmarking process for performance and SLA evaluation.