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Performance Enhancement of On-Line Scheduling Algorithm for IRIS Real-Time Tasks using Partial Solution  

심재홍 (조선대학교 인터넷스프트웨어공학부)
최경희 (아주대학교 정보통신전문대학원)
정기현 (아주대학교 전자공학부)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.30, no.1, 2003 , pp. 12-21 More about this Journal
Abstract
In this paper, we propose an on-line scheduling algorithm with the goal of maximizing the total reward of IRIS (Increasing Reward with Increasing Service) real-time tasks that have reward functions and arrive dynamically into the system. We focus on enhancing the performance of scheduling algorithm, which W.: based on the following two main ideas. First, we show that the problem to maximize the total reward of dynamic tasks can also be solved by the problem to find minimum of maximum derivatives of reward functions. Secondly, we observed that only a few of scheduled tasks are serviced until a new task arrives, and the rest tasks are rescheduled with the new task. Based on our observation, the Proposed algorithm doesn't schedules all tasks in the system at every scheduling print, but a part of tasks. The performance of the proposed algorithm is verified through the simulations for various cases. The simulation result showed that the computational complexity of proposed algorithm is$O(N_2)$ in the worst case which is equal to those of the previous algorithms, but close to O(N) on the average.
Keywords
real-time system; on-line scheduling; maximizing total reward;
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