Search results
Results From The WOW.Com Content Network
1.1 Queues and programming languages. ... If n is the size of the array, ... Java's library contains a Queue interface that specifies queue operations; ...
Priority queue: A priority queue is an abstract concept like "a list" or "a map"; just as a list can be implemented with a linked list or an array, a priority queue can be implemented with a heap or a variety of other methods. K-way merge: A heap data structure is useful to merge many already-sorted input streams into a single sorted output ...
Disruptor is a library for the Java programming language that provides a concurrent ring buffer data structure of the same name, developed at LMAX Exchange. [1] It is designed to provide a low-latency, high-throughput work queue in asynchronous event processing architectures. It ensures that any data is owned by only one thread for write access ...
A min-priority queue is an abstract data type that provides 3 basic operations: add_with_priority(), decrease_priority() and extract_min(). As mentioned earlier, using such a data structure can lead to faster computing times than using a basic queue. Notably, Fibonacci heap [19] or Brodal queue offer optimal implementations for those 3 ...
The program must keep track of the size ... Following is an example program in Java language, ... Queues, and Deques, pp. 238–243. Langmaack, ...
Circular buffering makes a good implementation strategy for a queue that has fixed maximum size. Should a maximum size be adopted for a queue, then a circular buffer is a completely ideal implementation; all queue operations are constant time. However, expanding a circular buffer requires shifting memory, which is comparatively costly.
The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [ 3 ] Deciding the optimal thread pool size is crucial to optimize performance.
A standard exercise in algorithm design asks for an implementation of this algorithm that takes linear time in the input size, which is the sum of sizes of all the input sets. [19] This may be solved using a bucket queue of sets in the input family, prioritized by the number of remaining elements that they cover.