SYSTEM AND METHOD FOR CLOUD CAPABILITY ESTIMATION FOR USER APPLICATION IN BLACK-BOX ENVIRONMENTS USING BENCHMARK-BASED APPROXIMATION

摘要

A system and method for providing cloud performance capability estimation and supporting recommender systems by simulating bottleneck and its migration for any given complex application in a cost-efficient way are provided. To do this, first, the system and method builds an abstract performance model for an application based on the resource usage pattern of the application in an in-house test-bed (i.e., a white-box environment). Second, it computes relative performance scores of many different cloud configurations given from black-boxed clouds using a cloud metering system. Third, it applies the collected performance scores into the abstract performance model to estimate performance capabilities and potential bottleneck situations of those cloud configurations. Finally, using the model, it can support recommender systems by providing performance estimates and simulations of bottlenecks and bottleneck migrations between resource sub-systems while new resources are added or replaced.