Resource budgeting is the practice of planning how much memory, CPU time, storage, power, and network use a program or device can afford. In embedded systems, this means designing firmware to fit strict limits without overrunning the microcontroller or disrupting real-time behavior. Good budgeting helps teams keep code reliable, predictable, and easier to maintain.
In cyber security, resource budgeting matters because attackers often exploit systems that are already near their limits. A device with no spare memory or processing headroom may become unstable when given malformed input, repeated requests, or expensive parsing work. Defenders use budgeting to leave safety margins, limit feature growth, and set hard caps on queues, buffers, timers, and retries. On small devices, careful budgeting can reduce denial-of-service risk, prevent crashes, and make security checks feasible without exhausting the system.