Scheduling Parallel Machines On-line

  • Authors:
  • David B. Shmoys;Joel Wein;David P. Williamson

  • Affiliations:
  • -;-;-

  • Venue:
  • SIAM Journal on Computing
  • Year:
  • 1995

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Abstract

The problem of scheduling jobs on parallel machines is studied when (1) the existence of a job is not known until its unknown release date and (2) the processing requirement of a job is not known until the job is processed to completion. Two general algorithmic techniques are demonstrated for converting existing polynomial-time algorithms that require complete knowledge about the input data into algorithms that need less advance knowledge. Information-theoretic lower bounds on the length of on-line schedules are proven for several basic parallel machine models, and that almost all of our algorithms construct schedules with lengths that either match or come within a constant factor of the lower bound.