Towards Performance Prediction for Cloud Computing Environments Based on Goal-Oriented Measurements
Scalability and performance are critical quality attributes of applications developed for the cloud. Many of these applications have to support hundreds or thousands of concurrent users with strongly fluctuating workloads. Existing approaches for software performance evaluation do not address the new challenges that arise for applications executed in cloud computing environments. The effects of virtualization on response times, throughput, and resource utilisation as well as the massive number of resources available require new platform and resource models for software performance evaluation. Modeling cloud environments using established approaches for software performance prediction is a cumbersome task that requires a detailed understanding of virtualization techniques and their effect on software performance.