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In computing, the producer-consumer problem (also known as the bounded-buffer problem) is a family of problems described by Edsger W. Dijkstra since 1965.. Dijkstra found the solution for the producer-consumer problem as he worked as a consultant for the Electrologica X1 and X8 computers: "The first use of producer-consumer was partly software, partly hardware: The component taking care of the ...
In some situations, overwriting circular buffer can be used, e.g. in multimedia. If the buffer is used as the bounded buffer in the producer–consumer problem then it is probably desired for the producer (e.g., an audio generator) to overwrite old data if the consumer (e.g., the sound card) is unable to momentarily
The Jakarta Messaging API (formerly Java Message Service or JMS API) is a Java application programming interface (API) for message-oriented middleware. It provides generic messaging models, able to handle the producer–consumer problem , that can be used to facilitate the sending and receiving of messages between software systems . [ 1 ]
[1] The observer pattern addresses the following problems: [2] A one-to-many dependency between objects should be defined without making the objects tightly coupled. When one object changes state, an open-ended number of dependent objects should be updated automatically. An object can notify multiple other objects.
A classic concurrency problem is that of the bounded producer/consumer, in which there is a queue or ring buffer of tasks with a maximum size, with one or more threads being "producer" threads that add tasks to the queue, and one or more other threads being "consumer" threads that take tasks out of the queue. The queue is assumed to be non ...
In the producer–consumer problem, one process (the producer) generates data items and another process (the consumer) receives and uses them. They communicate using a queue of maximum size N and are subject to the following conditions: the consumer must wait for the producer to produce something if the queue is empty;
In computing, a process that is blocked is waiting for some event, such as a resource becoming available or the completion of an I/O operation. [1] Once the event occurs for which the process is waiting ("is blocked on"), the process is advanced from blocked state to an imminent one, such as runnable .
There are many algorithms for design and implementation of fast VOQ. For example, Nick McKeown and a group at Stanford University published a design in 1997. [2] Quality of service and priority are extensions found in literature of the same time. [3]