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Ordinal scheduling problem and its asymptotically optimal algorithms on parallel machine system
引用本文:TAN Zhiyi1,2 & HE Yong1 1. Department of Mathematics,Zhejiang University,Hangzhou 310027,China (email: tanzy@math.zju. edu.cn, heyong@math.zju.edu.cn), 2. State Key Laboratory of CAD & CG,Zhejiang University,Hangzhou 310027,China. Ordinal scheduling problem and its asymptotically optimal algorithms on parallel machine system[J]. 中国科学F辑(英文版), 2004, 47(2): 161-169. DOI: 10.1360/01yf0571
作者姓名:TAN Zhiyi1  2 & HE Yong1 1. Department of Mathematics  Zhejiang University  Hangzhou 310027  China (email: tanzy@math.zju. edu.cn   heyong@math.zju.edu.cn)   2. State Key Laboratory of CAD & CG  Zhejiang University  Hangzhou 310027  China
基金项目:国家自然科学基金,中国博士后科学基金
摘    要:Consider a resource allocation problem on the following system. A system consists of m identical parallel machines and is alive only when all the machines are alive. To keep a machine alive, it requires resources (material, fuel, etc.). Resources with various sizes arrive one by one and the goal is to keep the system alive as long as possible. The problem has applications in many areas such as sequencing of maintenance actions for modular gas turbine aircraft engines[1]. Using scheduling term…


Ordinal scheduling problem and its asymptotically optimal algorithms on parallel machine system
Zhiyi Tan,Yong He. Ordinal scheduling problem and its asymptotically optimal algorithms on parallel machine system[J]. Science in China(Information Sciences), 2004, 47(2): 161-169. DOI: 10.1360/01yf0571
Authors:Zhiyi Tan  Yong He
Affiliation:1. Department of Mathematics, Zhejiang University, Hangzhou 310027, China;State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou 310027, China
2. Department of Mathematics, Zhejiang University, Hangzhou 310027, China
Abstract:Focusing on the ordinal scheduling problem on a parallel machine system, we discuss the background of ordinal scheduling and the motivation of ordinal algorithms. In addition, for the ordinal scheduling problem on identical parallel machines with the objective to maximize the minimum machine load, we then give two asymptotically optimal algorithm classes which have worst-case ratios very close to the upper bound of the problem for any given m. These results greatly improve the results proposed by He Yong and Tan Zhiyi in 2002.
Keywords:scheduling   design and analysis of algorithm   worst-case ratio.
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