Scheduling on identical machines : how good is LPT in an on-line setting?

B. Chen, A.P.A. Vestjens

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)
4 Downloads (Pure)

Abstract

We consider a parallel machine scheduling problem where jobs arrive over time. A set of independent jobs has to be scheduled on m identical machines, where preemption is not allowed and the number of jobs is unknown in advance. Each job becomes available at its release date, which is not known in advance, and its processing time becomes known at its arrival. We deal with the problem of minimizing the makespan, which is the time by which all jobs have been finished. We propose and analyze the following on-line algorithm: At any time a machine becomes availabe for processing, schedule an available job with the largest processing time. We prove that this algorithm has a performance guarantee of , and that this bound is tight. Furthermore, we show that any on-line algorithm will have a performance bound of at least 1.3473. This bound is improved to (5 - v5)/2˜1.3820 for M = 2.
Original languageEnglish
Pages (from-to)165-169
Number of pages5
JournalOperations Research Letters
Volume21
Issue number4
DOIs
Publication statusPublished - 1997

Fingerprint

Dive into the research topics of 'Scheduling on identical machines : how good is LPT in an on-line setting?'. Together they form a unique fingerprint.

Cite this