Several semi-online scheduling problems on two identical machines with combined information

  • Authors:
  • Qian Cao;T. C. E. Cheng;Guohua Wan;Yi Li

  • Affiliations:
  • Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China;Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China;Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2012

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Abstract

In this paper we consider several semi-online scheduling problems on two identical machines with combined information. The objective of each problem is to minimize the makespan. The first problem is semi-online scheduling with known optimal solution value and maximum job size. We obtain a lower bound 65 and design an optimal algorithm with a competitive ratio 65. The second problem is semi-online scheduling with a buffer of size k, where k(k=1) is a finite positive integer, and known maximum job size. We obtain a lower bound 65 and design an algorithm with a competitive ratio 54. The third problem is semi-online scheduling with a buffer of size 1 and jobs arriving in decreasing order of their processing times. We obtain a lower bound 76, which matches an upper bound in the literature. The last problem is semi-online scheduling with a buffer of size 1 and all the job processing times being bounded in the interval [1,t](t=1). We obtain a lower bound max{min{43,t+26},min{54,t+14},min{76,t+23}}, where the lower bound 43 for t=6 matches an upper bound in the literature, and design an algorithm with a competitive ratio max{t+23,87} for 1@?t@?32, which is optimal for 107@?t@?32.