Achievable performance of blind policies in heavy traffic

Nikhil Bansal (Corresponding author), Bart Kamphorst (Corresponding author), Bert Zwart (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

For a GI/GI/1 queue, we show that the average sojourn time under the (blind) Randomized Multilevel Feedback algorithm is no worse than that under the Shortest Remaining Processing Time algorithm times a logarithmic function of the system load. Moreover, it is verified that this bound is tight in heavy traffic, up to a constant multiplicative factor. We obtain this result by combining techniques from two disparate areas: Competitive analysis and applied probability.

Original languageEnglish
Pages (from-to)949-964
Number of pages16
JournalMathematics of Operations Research
Volume43
Issue number3
DOIs
Publication statusPublished - 1 Aug 2018

Funding

Funding:The research of Nikhil Bansal is partly supported by the NWO VIDI [Grant 639.022.211] and the ERC consolidator [Grant 617951]. The research of Bart Kamphorst is supported by the NWO free competition research programme 613.001.219. The research of Bert Zwart is partly supported by the NWO VICI [Grant 639.033.413]. This work is part of the free competition research programme with project number 613-001-219, which is financed by the Netherlands Organisation for Scientific Research (NWO). The authors thank Adam Wierman for his encouragements to work on this research topic.

Keywords

  • Blind policies
  • Competitive ratio
  • GI/GI/1 queue
  • Heavy traffic
  • Randomized multilevel feedback
  • Response time
  • Shortest remaining processing time

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