Journal of the Operations Research Society of China ›› 2019, Vol. 7 ›› Issue (2): 303-319.doi: 10.1007/s40305-018-0192-8

Special Issue: Management Science

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Online Scheduling on Two Uniform Unbounded Parallel-Batch Machines to Minimize Makespan

Jin-Jiang Yuan1, Li-Li Ren1, Ji Tian2, Ru-Yan Fu2   

  1. 1 School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China;
    2 School of Mathematics, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
  • Received:2017-07-06 Revised:2017-09-13 Online:2019-06-30 Published:2019-06-30
  • Contact: Jin-Jiang Yuan, Li-Li Ren, Ji Tian, Ru-Yan Fu E-mail:yuanjj@zzu.edu.cn;lily_8461@126.com;jitian@cumt.edu.cn;furuyan@126.com
  • Supported by:
    The first author was supported by the National Natural Science Foundation of China (No. 11671368) and Natural Science Foundation of Henan Province (No. 15IRTSTHN006). Tian was also supported by Natural Science Foundation of Jiangsu Province (No. BK20130169) and the National Natural Science Foundation of China (No. 61573362).

Abstract: We study an online (over time) scheduling problem on two uniform unbounded parallel-batchmachines with processing speed 1 and v(0 < v ≤1),respectively, to minimize the makespan. We first show that no online algorithm can have a competitive ratio less than 1 + αL, where αL=(√5-1)/2 ≈ 0.618 if 0 < v 1/2, and αL=α2(v) is the positive root of α3+3α2+(3-1/v)α-1/v=0 if 1/2 < v 1. This lower bound is still valid when all jobs have the same processing times. Then, we provide an online algorithm with a competitive ratio at most min{(√5+1)/2, √2/v}. When the jobs have the same processing times, we present the best possible online algorithm with a competitive ratio 1 + αL.

Key words: Online scheduling, Uniform parallel-batch machines, Makespan, Competitive ratio

CLC Number: