FREMONT, CA: The embedded software configuration and choices options can make or break the design’s success from efficient multitasking and kernel memory usage to productive inclusion of file-system and storage options. The software working on modern embedded systems manages to come from a variety of sources. Each piece of code can be recorded to optimize capability, while this article will focus on ability within off-the-shelf software components. Real-time kernel and a transactional file system are two components that will serve as the foundation for the examination of resource efficiency.
A real-time kernel is the highpoint of the software running in many embedded systems. It is a scheduler who writes application code for a kernel-based system. A kernel is an alternative to the infinite loop that often serves as the primary scheduling mechanism in bare-metal embedded systems. Improved efficiency is a significant benefit when using a real-time kernel. CPU resources can be implemented, with widely ranging degrees of ability is scheduling. Offering an intelligent scheduling mechanism allows tasks to run in response to events. A kernel’s scheduling system serves as a passage of code responsible for deciding when each task should be run.
Scheduling is priority-based in a real-time kernel. Application developers assign priorities to tasks, and the kernel favors the higher-priority tasks when making scheduling decisions. The kernel maintains some data structure under this scheme that tracks the preferences of an application’s different tasks along with the current state of each of those tasks. The kernel itself can handle the allocation of responsibility for allocating these resources can be left to application code. These are two approaches a kernel takes to map the primary resources that are needed for multitasking. If an approach is implemented with flexibility as a goal, it can yield an efficient kernel.
While every embedded system presents its unique demands, many of the approaches suitable for maximizing efficiency in a blood-glucose meter could efficiently be used in the development of other sorts of devices. Reuse of components has been recognized as a best practice for software development and much of the infrastructure code is needed for a blood glucose meter. A real-time kernel and file system could serve as the foundation for other devices with few changes beyond the replacement of a handful of low-level code.