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.

Additional Metadata
Keywords Blind policies, Competitive ratio, GI/GI/1 queue, Heavy traffic, Randomized multilevel feedback, Response time, Shortest remaining processing time
Persistent URL dx.doi.org/10.1287/moor.2017.0890
Journal Mathematics of Operations Research
Citation
Bansal, N, Kamphorst, B, & Zwart, A.P. (2018). Achievable performance of blind policies in heavy traffic. Mathematics of Operations Research, 43(3), 949–964. doi:10.1287/moor.2017.0890