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List scheduling. List scheduling is a greedy algorithm for Identical-machines scheduling. The input to this algorithm is a list of jobs that should be executed on a set of m machines. The list is ordered in a fixed order, which can be determined e.g. by the priority of executing the jobs, or by their order of arrival.
The list scheduling algorithm by Garey and Graham has an absolute ratio , as pointed out by Turek et al. and Ludwig and Tiwari. Feldmann, Sgall and Teng [12] observed that the length of a non-preemptive schedule produced by the list scheduling algorithm is actually at most ( 2 − 1 / m ) {\displaystyle (2-1/m)} times the optimum preemptive ...
In computing, scheduling is the action of assigning resources to perform tasks. The resources may be processors, network links or expansion cards. The tasks may be threads, processes or data flows . The scheduling activity is carried out by a process called scheduler.
Job-shop scheduling. Job-shop scheduling, the job-shop problem ( JSP) or job-shop scheduling problem ( JSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. In a general job scheduling problem, we are given n jobs J1 , J2 , ..., Jn of varying processing times, which need to be ...
Longest-processing-time-first scheduling. Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling. The input to the algorithm is a set of jobs, each of which has a specific processing-time. There is also a number m specifying the number of machines that can process the jobs. The LPT algorithm works as follows:
The simplest algorithm to find a topological sort is frequently used and is known as list scheduling.Conceptually, it repeatedly selects a source of the dependency graph, appends it to the current instruction schedule and removes it from the graph.
Greedy number partitioning. In computer science, greedy number partitioning is a class of greedy algorithms for multiway number partitioning. The input to the algorithm is a set S of numbers, and a parameter k. The required output is a partition of S into k subsets, such that the sums in the subsets are as nearly equal as possible.
Optimal job scheduling is a class of optimization problems related to scheduling. The inputs to such problems are a list of jobs (also called processes or tasks) and a list of machines (also called processors or workers ). The required output is a schedule – an assignment of jobs to machines. The schedule should optimize a certain objective ...