Abstract
The mean flow time of a schedule provides a measure of the average time that a task spends within a computer system, and also the average number of unfinished tasks in the system. The mean flow time of a schedule is defined to be the sum of the finishing times of all tasks in the system. On a system of identical processors O(nlog n) algorithms exist for determining minimal mean flow time schedules for n independent tasks. In general, there will be a large class C of schedules, of widely differing lengths, that all minimize mean flow time. The problem of finding the shortest schedule in C is NP-complete. We give heuristics that find schedules in C that are no more than 25% longer than the shortest schedule in C. The advantage of a short schedule is that processor utilization is high.
Original language | English (US) |
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Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | Acta Informatica |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1976 |
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Networks and Communications