Memory management of safety-critical hard real-time systems designed in SystemJ

Abstract

SystemJ is a programming language based on the Globally Asynchronous Locally Synchronous (GALS) Model of Computation (MoC) used to design safety critical hard real-time systems. SystemJ uses the Java programming language as the “host” language, for carrying out data computations, because Java provides clearly defined operational semantics, type and memory safety in the form of the Garbage Collector(GC), which help with formal functional verification. The same GC, which helps in functional verification, makes Worst Case Reaction Time (WCRT)11Similar to Worst Case Execution Time. analysis challenging. Any WCRT analysis framework for GALS programs needs to consider the operations performed by the host language. It has been shown that the worst case time estimates for garbage collection cycles are in seconds, whereas the program’s WCRT itself is in micro-seconds. These pessimistic estimates render the WCRT analysis framework ineffective. In order to overcome this problem, we develop a compiler assisted memory management technique for applications written in SystemJ. The SystemJ MoC plays the central role in the proposed technique. The SystemJ MoC allows clearly demarcating the state boundaries of the program, which in turn allows us to partition the heap, at compile time, into two distinct areas: (1) the memory area called the permanent heap, which holds objects that are alive throughout the life time of the application, and (2) the memory area used to hold all other objects, called the transient heap. The size of these memory areas are bounded statically. Furthermore, the memory allocation and reclaim procedures are simple load and pointer reset operations, respectively, which are guaranteed to complete within a bounded number of clock-cycles, thereby alleviating the need for large pessimistic WCRT bounds obtained due to the GC. Experimental results also show that the proposed approach is approximately three times faster, in terms of memory allocation times as compared to standard real-time GC approaches.