Scheduling algorithm

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In computer science, a scheduling algorithm is the method by which threads or processes are given access to system resources, usually processor time. This is usually done to effectively load balance a system. The need for a scheduling algorithm arises from the requirement for most modern system to perform multitasking, or execute more than one process at a time. Scheduling algorithms are generally only used in a time slice multiplexing kernel. The reason is that in order to effectively load balance a system the kernel must be able to forcibly suspend execution of threads in order to begin execution of the next thread.

The algorithm used may be as simple as round-robin in which each process is given equal time (for instance 1 ms, usually between 1 ms and 100 ms) in a cycling list. So, process A executes for 1 ms, then process B, then process C, then back to process A.

More advanced algorithms take into account process priority, or the importance of the process. This allows some processes to use more time than other processes. It should be noted that the kernel always uses whatever resources it needs to ensure proper functioning of the system, and so can be said to have infinite priority. In SMP systems, processor affinity is considered to increase overall system performance, even if it may cause a process itself to run slower. This generally improves performance by reducing cache thrashing.

1 In computer networks and multiplexing
2 In computer I/O
3 See also
4 External links

[edit] In computer networks and multiplexing

In packet-switched computer networks and other statistical multiplexing, the notion of a scheduling algorithm is used as an alternative to first-come first-served queuing of data packets. In advanced packet radio wireless networks such as HSDPA 3.5G cellular system, channel-dependent scheduling may be used to take advantage of favourable channel conditions to increase the throughput and system spectral efficiency. The simplest best-effort scheduling algorithms are round-robin, fair queuing (a max-min fair scheduling algorithm), proportionally fair scheduling and maximum throughput. If differentiated or guaranteed quality of service is offered, as opposed to best-effort communication, weighted fair queuing may be utilized.