Abstract
Compiler optimization techniques have been applied to facilitate development and performance tuning of non-real-time systems. Unfortunately, regular compiler optimization can complicate the analysis and destroy timing properties of real-time systems. This paper discusses the difficulties of performing compiler optimization in distributed real-time systems. An algorithm is presented to apply machine-independent compiler optimization safely to distributed real-time systems. The algorithm uses resources' busy-idle profiles to investigate effects of optimizing one process on other processes. A restricted form of resource contention is assumed to simplify the analysis.