Laura Poplawski Ma, S. Zabele, C. Merlin, G. Lauer, S. Dabideen
{"title":"QFloor: Queue Delay Reduction in Dynamic Backpressure Networks","authors":"Laura Poplawski Ma, S. Zabele, C. Merlin, G. Lauer, S. Dabideen","doi":"10.1109/MILCOM47813.2019.9020717","DOIUrl":null,"url":null,"abstract":"QFloor addresses the high queuing delays inherent in backpressure forwarding, including in dynamic or oscillatory networks. QFloor is purely local and reactionary: it adds placeholder bytes to the advertised queue values with the explicit goal of keeping the minimum queue depth at a static pre-configured number of bytes. QFloor deals with queue depth dynamics by looking at the queue depth over a dynamically-sized observation window of time, adding placeholder bytes if that minimum depth is too high, and removing placeholder bytes whenever the backpressure algorithm dictates a dequeue from a queue with only placeholder bytes. Experimentation in a fully-implemented backpressure forwarding system shows that QFloor can reduce the end-to-end latency by more than 90% even in a network with only one and two-hop paths.","PeriodicalId":371812,"journal":{"name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM47813.2019.9020717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
QFloor addresses the high queuing delays inherent in backpressure forwarding, including in dynamic or oscillatory networks. QFloor is purely local and reactionary: it adds placeholder bytes to the advertised queue values with the explicit goal of keeping the minimum queue depth at a static pre-configured number of bytes. QFloor deals with queue depth dynamics by looking at the queue depth over a dynamically-sized observation window of time, adding placeholder bytes if that minimum depth is too high, and removing placeholder bytes whenever the backpressure algorithm dictates a dequeue from a queue with only placeholder bytes. Experimentation in a fully-implemented backpressure forwarding system shows that QFloor can reduce the end-to-end latency by more than 90% even in a network with only one and two-hop paths.