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In computer science, gang scheduling is a scheduling algorithm for parallel systems that schedules related threads or processes to run simultaneously on different processors. Usually these will be threads all belonging to the same process, but they may also be from different processes, where the processes could have a producer-consumer ...
CFS is an implementation of a well-studied, classic scheduling algorithm called weighted fair queuing. [5] Originally invented for packet networks, fair queuing had been previously applied to CPU scheduling under the name stride scheduling.
The basic scheduling unit in Kubernetes is a pod, [53] which consists of one or more containers that are guaranteed to be co-located on the same node. [31] Each pod in Kubernetes is assigned a unique IP address within the cluster, allowing applications to use ports without the risk of conflict. [ 54 ]
Table Explanation. Software: The name of the application that is described; SMP aware: . basic: hard split into multiple virtual host; basic+: hard split into multiple virtual host with some minimal/incomplete communication between virtual host on the same computer
The main purposes of scheduling algorithms are to minimize resource starvation and to ensure fairness amongst the parties utilizing the resources. Scheduling deals with the problem of deciding which of the outstanding requests is to be allocated resources. There are many different scheduling algorithms. In this section, we introduce several of ...
A specific algorithm is known as gang scheduling. Local coscheduling allows individual processors to schedule the processing independently. Dynamic (or implicit) coscheduling is a form of coscheduling where individual processors can still schedule processing independently, but they make scheduling decisions in cooperation with other processors.
Fair queuing is a family of scheduling algorithms used in some process and network schedulers.The algorithm is designed to achieve fairness when a limited resource is shared, for example to prevent flows with large packets or processes that generate small jobs from consuming more throughput or CPU time than other flows or processes.
Algorithms for scheduling tasks and processes by process schedulers and network packets by network schedulers in computing and communications systems. Subcategories This category has the following 4 subcategories, out of 4 total.