A Performance Analysis Framework for Real-Time Systems Sharing Multiple Resources

Timing properties of applications strongly depend on resources that are allocated to them. Applications often have multiple resource requirements, all of which must be met for them to proceed. Performance analysis of event-based systems has been widely studied in the literature. However, the proposed works consider only one resource requirement for each application task. Additionally, they mainly focus on the rate at which resources serve applications (e.g., power, instructions or bits per second), but another aspect of resources, which is their provided capacity (e.g., energy, memory ranges, FPGA regions), has been ignored. In this work, we propose a mathematical framework to describe the provisioning rate and capacity of various types of resource. Additionally, we consider the simultaneous use of multiple resources. Conservative bounds on response times of events and their backlog are computed. We prove that the bounds are monotone in event arrivals and in required and provided rate and capacity, which enables verification of real-time application performance based on worst-case characterizations. The applicability of our framework is shown in a case study.