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http://dx.doi.org/10.3745/KIPSTA.2003.10A.3.181

IRIS Task Scheduling Algorithm Based on Task Selection Policies  

Shim, Jae-Hong (조선대학교 인터넷소프트웨어공학부)
Choi, Kyung-Hee (아주대학교 정보통신전문대학원)
Jung, Gi-Hyun (아주대학교 전자공학부)
Publication Information
The KIPS Transactions:PartA / v.10A, no.3, 2003 , pp. 181-188 More about this Journal
Abstract
We propose a heuristic on-line scheduling algorithm for the IRIS (Increasing Reward with Increasing Service) tasks, which has low computation complexity and produces total reward approximated to that of previous on-line optimal algorithms. The previous on-line optimal algorithms for IRIS tasks perform scheduling on all tasks in a system to maximize total reward. Therefore, the complexities of these algorithms are too high to apply them to practical systems handling many tasks. The proposed algorithm doesn´t perform scheduling on all tasks in a system, but on (constant) W´s tasks selected by a predefined task selection policy. The proposed algorithm is based on task selection policies that define how to select tasks to be scheduled. We suggest two simple and intuitive selection policies and a generalized selection policy that integrates previous two selection policies. By narrowing down scheduling scope to only W´s selected tasks, the computation complexity of proposed algorithm can be reduced to O(Wn). However, simulation results for various cases show that it is closed to O(W) on the average.
Keywords
Real-Time System; On-Line Scheduling; Maximizing Total Regard; Task Selection Policies;
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