UC Irvine

Service-oriented architectures (SOA), though widely accepted in a variety of industries, must be enhanced to support real-time activities in order to gain even greater adoption.We present RT-Llama, a novel architecture for real-time SOA to support predictability in business processes. Based on a user-specified process and deadline, our architecture, containing global resource management and business process composition components, can reserve resources in advance for each service in the process to ensure it meets its end-to-end deadline. This is facilitated by also creating a real-time enterprise middleware that manages utilization of local resources by using efficient data structures and handles service requests via reserved CPU bandwidth. We demonstrate that RT-Llama’s reservation components are both efficient and adaptable to dynamic real-time environments.