{"title":"RAL","authors":"Sarah Wassermann, Thibaut Cuvelier, Pedro Casas","doi":"10.1145/3405837.3411390","DOIUrl":"https://doi.org/10.1145/3405837.3411390","url":null,"abstract":"Network-traffic data usually arrives in the form of a data stream. Online monitoring systems need to handle the incoming samples sequentially and quickly. These systems regularly need to get access to ground-truth data to understand the current state of the application they are monitoring, as well as to adapt the monitoring application itself. However, with in-the-wild network-monitoring scenarios, we often face the challenge of limited availability of such data. We introduce RAL, a novel stream-based, active-learning approach, which improves the ground-truth gathering process by dynamically selecting the most beneficial measurements, in particular for model-learning purposes.","PeriodicalId":396272,"journal":{"name":"Proceedings of the SIGCOMM '20 Poster and Demo Sessions","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122484762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Miano, G. Rétvári, Fulvio Risso, A. Moore, G. Antichi
{"title":"Automatic optimization of software data planes","authors":"S. Miano, G. Rétvári, Fulvio Risso, A. Moore, G. Antichi","doi":"10.1145/3405837.3411379","DOIUrl":"https://doi.org/10.1145/3405837.3411379","url":null,"abstract":"In this poster, we make a case for a compiler that continuously optimizes software data planes at run-time. Furthermore, we propose its architecture and discuss the challenges associated with its design.","PeriodicalId":396272,"journal":{"name":"Proceedings of the SIGCOMM '20 Poster and Demo Sessions","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116189039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COC: hierarchical coflow ordering for WAN bandwidth optimization in inter-data center","authors":"Jingxuan Zhang, Y. Yang","doi":"10.1145/3405837.3411400","DOIUrl":"https://doi.org/10.1145/3405837.3411400","url":null,"abstract":"In recent years, more and more applications involving large-scale data analytics tend to be geo-distributed [6]. Those applications distribute intermediate data into different data centers, and generate traffic going through WAN links between data centers, which are expensive resources for service providers. Many global service providers like Microsoft, Google, and Facebook have already developed their SD-WAN traffic engineering systems [5, 7, 8] to optimize the bandwidth allocation across their inter-data centers.","PeriodicalId":396272,"journal":{"name":"Proceedings of the SIGCOMM '20 Poster and Demo Sessions","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129052670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, F. Espinal, P. R. Kumar
{"title":"BeamSurfer: simple in-band beam management for mobile mm-wave devices","authors":"Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, F. Espinal, P. R. Kumar","doi":"10.1145/3405837.3411374","DOIUrl":"https://doi.org/10.1145/3405837.3411374","url":null,"abstract":"Narrow millimeter wave transmit and receive beams need to be pointed at each other for a successful line-of-sight (LoS) communication link. As a user with a mm-wave mobile moves or rotates, constant readjustment, about tens times each second, is necessary to maintain aligned beams. Once communication is lost due to misalignment or blockage, the mobile can take up to 1.28 s in 5G New Radio to be reacquired. BeamSurfer is the first solution for beam management that does not require any additional sensors, position measurements, or prior mapping of the environment. It employs only Received Signal Strength (RSS) measurements to predict LoS beams ahead of time. To avoid communication loss due to sudden blockage, BeamSurfer successfully maintains a reserve backup reflected beam to coordinate recovery. For users moving at walking speeds within 10 m of a base station (BS), experimental evaluations show that the transmit and receive beams chosen by BeamSurfer are always within 3 dB of the optimal ones that an Oracle would choose. Experimental evaluation also shows that BeamSurfer is able to recover from blockages in indoor environments.","PeriodicalId":396272,"journal":{"name":"Proceedings of the SIGCOMM '20 Poster and Demo Sessions","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127298307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corona-warn-app: tracing the start of the official COVID-19 exposure notification app for germany","authors":"J. Reelfs, O. Hohlfeld, Ingmar Poese","doi":"10.1145/3405837.3411378","DOIUrl":"https://doi.org/10.1145/3405837.3411378","url":null,"abstract":"On June 16, 2020, Germany launched an open-source smartphone contact tracing app (\"Corona-Warn-App\") to help tracing SARS-CoV-2 (coronavirus) infection chains. It uses a decentralized, privacy-preserving design based on the Exposure Notification APIs in which a centralized server is only used to distribute a list of keys of SARS-CoV-2 infected users that is fetched by the app once per day. Its success, however, depends on its adoption. In this poster, we characterize the early adoption of the app using Netflow traces captured directly at its hosting infrastructure. We show that the app generated traffic from allover Germany---already on the first day. We further observe that local COVID-19 outbreaks do not result in noticeable traffic increases.","PeriodicalId":396272,"journal":{"name":"Proceedings of the SIGCOMM '20 Poster and Demo Sessions","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123673789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}