On-line Algorithms for a Single Machine Scheduling Problem

نویسندگان

  • Weizhen Mao
  • Rex K. Kincaid
  • Adam Rifkin
چکیده

An increasingly significant branch of computer science is the study of on-line algorithms. In this paper, we apply the theory of on-line algorithms to job scheduling. In particular, we study the nonpreemptive single machine scheduling of independent jobs with arbitrary release dates to minimize the total completion time. We design and analyze two on-line algorithms which make scheduling decisions without knowing about jobs that will arrive in future.

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تاریخ انتشار 2011