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A follow-up paper by Kogan and Petrank [20] provided a method for making wait-free algorithms fast and used this method to make the wait-free queue practically as fast as its lock-free counterpart. A subsequent paper by Timnat and Petrank [ 21 ] provided an automatic mechanism for generating wait-free data structures from lock-free ones.
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 bucket queue has the form of an array of buckets: an array data structure, indexed by the priorities, whose cells contain collections of items with the same priority as each other. With this data structure, insertion of elements and changes of their priority take constant time. Searching for and removing the minimum-priority element takes ...
In a FIFO data structure, the first element added to the queue will be the first one to be removed. This is equivalent to the requirement that once a new element is added, all elements that were added before have to be removed before the new element can be removed. A queue is an example of a linear data structure, or more abstractly a ...
EJSS handles the technical aspects of coding the simulation in the Java programming language, thus freeing the user to concentrate on the simulation's content. The generated Java or JavaScript code can, in terms of efficiency and sophistication, be taken as the creation of a professional programmer. EJSS is written in the Java programming ...
Once a system is mathematically modeled, computer-based simulations provide information about its behavior. Parametric simulation methods can be used to improve the performance of a system. In this method, the input of each variable is varied with other parameters remaining constant and the effect on the design objective is observed.
Such simulators require a good and efficient data structure as time spent on queue management can be significant. The calendar queue (with optimum bucket size) can approach O(1) average performance. Calendar queues are closely related to bucket queues but differ from them in how they are searched and in being dynamically resized.
A dual structure with 14,12,4,10,8 as the members of DEPQ. [1] In this method two different priority queues for min and max are maintained. The same elements in both the PQs are shown with the help of correspondence pointers. Here, the minimum and maximum elements are values contained in the root nodes of min heap and max heap respectively.