The service-oriented architecture style supports desirable qualities, including distributed, loosely-coupled systems spanning organizational boundaries. Such systems and their configurations are challenging to understand, reason about, and test. Improved understanding of these systems will support activities such as autonomic run-time configuration, application deployment, and development/testing. Simulation is one way to understand and test service systems. This paper describes a literature survey of simulation frameworks for service-oriented systems, examining simulation software, systems, approaches, and frameworks used to simulate service-oriented systems. We identify a set of dimensions for describing the various approaches, considering their modeling methodology, their functionalities, their underlying infrastructure, and their evaluation. We then introduce the Services-Aware Simulation Framework (SASF), a simulation framework for predicting the behavior of service-oriented systems under different configurations and loads, and discuss the unique features that distinguish it from other systems in the literature. We demonstrate its use in simulating two service-oriented systems.