What is a Multiple Queue?
A Multiple Queue is a data structure that consists of several individual queues managed together. This approach allows for better organization of data with different priorities or categories while maintaining the standard FIFO (First-In-First-Out) property within each individual queue.
Key Characteristics
Multiple queues have these fundamental properties:
- Multiple FIFO structures: Contains several independent queues
- Priority management: Queues can represent different priority levels
- Flexible operations:
- enqueue(item, queueNum) - Add to specific queue
- dequeue(queueNum) - Remove from specific queue
- multiDequeue() - Remove following priority rules
- Dynamic allocation: Queues can grow/shrink independently
Visual Example
Operation sequence with 3 queues:
- enqueue(A, 0): Queue0 [A] | Queue1 [] | Queue2 []
- enqueue(B, 1): Queue0 [A] | Queue1 [B] | Queue2 []
- enqueue(C, 0): Queue0 [A, C] | Queue1 [B] | Queue2 []
- dequeue(0): Returns A → Queue0 [C] | Queue1 [B] | Queue2 []
- enqueue(D, 2): Queue0 [C] | Queue1 [B] | Queue2 [D]
- multiDequeue(): Returns B (higher priority) → Queue0 [C] | Queue1 [] | Queue2 [D]
Implementation Variations
Common implementation approaches:
- Array of Queues:
- Fixed number of queues
- Simple to implement
- Static memory allocation
- Dynamic Array of Linked Lists:
- Flexible queue sizes
- Efficient memory usage
- More complex implementation
- Priority-based Implementation:
- Queues represent priority levels
- Automatic routing of dequeue operations
Time Complexity
- enqueue(item, queueNum): O(1)
- dequeue(queueNum): O(1)
- multiDequeue(): O(k) where k is number of queues
- peek(queueNum): O(1)
- isEmpty(queueNum): O(1)
Applications
Multiple queues are used in:
- Operating Systems: Process scheduling with multiple priority levels
- Network Traffic Management: Different queues for different packet types
- Print Spooling: Separate queues for different printer priorities
- Customer Service Systems: VIP vs regular customer queues
- Multi-level Feedback Queues: Adaptive scheduling algorithms
Special Cases
Interesting multiple queue variations:
- Priority Multi-Queue: Automatic dequeue from highest priority non-empty queue
- Dynamic Multi-Queue: Queues can be added/removed at runtime
- Bounded Multi-Queue: Each queue has individual capacity limits
- Inter-Queue Transfer: Items can move between queues under certain conditions
The multiple queue structure provides an efficient way to manage categorized or prioritized data streams while maintaining the simplicity of FIFO operations within each category. Its versatility makes it particularly valuable in systems where different types of data or requests need separate but coordinated handling.