Consider a system managing an elevator with three states: idle, moving up, and moving down. Which of the following best describes the correct state transition when the elevator receives a request to move to a higher floor?
Think about the natural flow of elevator movement when going to a higher floor.
The elevator starts idle, then moves up when requested to a higher floor, and returns to idle once it reaches the destination.
You need to design a state machine for an elevator with states: idle, moving up, moving down. Which component is essential to handle state transitions correctly?
Focus on what controls the state changes in the system.
The controller is responsible for receiving requests and changing the elevator's state based on those requests.
When managing multiple elevators in a building, what is the best approach to maintain consistent state management across all elevators?
Consider how to avoid conflicting states and optimize elevator usage.
A centralized state manager ensures all elevators' states are tracked and coordinated to optimize performance and avoid conflicts.
For an elevator system managing states (idle, moving up, moving down), which tradeoff is true when choosing between polling the elevator state frequently versus using event-driven updates?
Think about how often the system checks for changes and how it reacts.
Polling checks state regularly, increasing load but is simple; event-driven updates only on changes, reducing load but needing event management.
You are designing state management for 20 elevators in a 100-floor building. Each elevator changes state approximately every 10 seconds on average. Estimate the number of state transitions the system must handle per minute.
Calculate transitions per elevator per minute, then multiply by number of elevators.
Each elevator changes state every 10 seconds → 6 times per minute (60/10=6). For 20 elevators: 6 × 20 = 120 transitions per minute.
