Achievable Performance of Blind Policies in Heavy Traffic
classification
🧮 math.PR
cs.DS
keywords
algorithmblindheavytimetrafficunderachievableanalysis
read the original 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.
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