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Queue overflow results from trying to add an element onto a full queue and queue underflow happens when trying to remove an element from an empty queue. A bounded queue is a queue limited to a fixed number of items. [1] There are several efficient implementations of FIFO queues.
An example of an actual implementation would be a queue object with a get method that has a guard to detect when there are no items in the queue. Once the put method notifies the other methods (for example, a get method), then the get method can exit its guarded state and proceed with a call. Once the queue is empty, then the get method will ...
A priority queue must at least support the following operations: is_empty: check whether the queue has no elements. insert_with_priority: add an element to the queue with an associated priority. pull_highest_priority_element: remove the element from the queue that has the highest priority, and return it.
A double-ended queue can be used to store the browsing history: new websites are added to the end of the queue, while the oldest entries will be deleted when the history is too large. When a user asks to clear the browsing history for the past hour, the most recently added entries are removed.
}} // Method representing each consumer thread's behavior: public method consumer {while (true) {queueLock. acquire (); // Acquire lock for initial busy-wait check. while (queue. isEmpty ()) {// Busy-wait until the queue is non-empty. queueLock. release (); // Drop the lock temporarily to allow a chance for other threads // needing queueLock to ...
When the active queue is empty the expired queue will become the active queue and vice versa. However, some enterprise Linux distributions such as SUSE Linux Enterprise Server replaced this scheduler with a backport of the O(1) scheduler (which was maintained by Alan Cox in his Linux 2.4-ac Kernel series) to the Linux 2.4 kernel used by the ...
the producer must wait for the consumer to consume something if the queue is full. The semaphore solution to the producer–consumer problem tracks the state of the queue with two semaphores: emptyCount, the number of empty places in the queue, and fullCount, the number of elements in the queue.
For the stack, priority queue, deque, and DEPQ types, peek can be implemented in terms of pop and push (if done at same end). For stacks and deques this is generally efficient, as these operations are O (1) in most implementations, and do not require memory allocation (as they decrease the size of the data) – the two ends of a deque each ...