Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement
Using network measurement apps has become a very effective approach to crowdsourcing WiFi network performance data. However, these apps usually measure the user-level performancemetrics instead of the network-level performance which is important for diagnosing performance problems. In this paper we...
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sg-smu-ink.sis_research-46192018-03-14T06:17:26Z Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement LI, Weichao WU, Daoyuan CHANG, Rocky K. C. MOK, Ricky K. P. Using network measurement apps has become a very effective approach to crowdsourcing WiFi network performance data. However, these apps usually measure the user-level performancemetrics instead of the network-level performance which is important for diagnosing performance problems. In this paper we report for the first time that a major source of measurement noises comes from the periodical SDIO (Secure Digital Input Output) bus sleep inside the phone. The additional latency introduced by SDIO and Power Saving Mode can inflate and unstablize network delay measurement significantly. We carefully design and implement a scheme to wake up the phone for delay measurement by sending just enough warm-up and background traffic. Our evaluation results show that the overall median delay overheads can be kept within 3ms, regardless of the actual network delay. 2016-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3618 info:doi/10.1145/2999572.2999595 https://ink.library.smu.edu.sg/context/sis_research/article/4619/viewcontent/DemystifyingWifiNetworkMeasure_2016_CoNEXT.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Accuracy Android Network measurement WiFi Computer Sciences Software Engineering |
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Accuracy Android Network measurement WiFi Computer Sciences Software Engineering LI, Weichao WU, Daoyuan CHANG, Rocky K. C. MOK, Ricky K. P. Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
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Using network measurement apps has become a very effective approach to crowdsourcing WiFi network performance data. However, these apps usually measure the user-level performancemetrics instead of the network-level performance which is important for diagnosing performance problems. In this paper we report for the first time that a major source of measurement noises comes from the periodical SDIO (Secure Digital Input Output) bus sleep inside the phone. The additional latency introduced by SDIO and Power Saving Mode can inflate and unstablize network delay measurement significantly. We carefully design and implement a scheme to wake up the phone for delay measurement by sending just enough warm-up and background traffic. Our evaluation results show that the overall median delay overheads can be kept within 3ms, regardless of the actual network delay. |
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text |
author |
LI, Weichao WU, Daoyuan CHANG, Rocky K. C. MOK, Ricky K. P. |
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LI, Weichao WU, Daoyuan CHANG, Rocky K. C. MOK, Ricky K. P. |
author_sort |
LI, Weichao |
title |
Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
title_short |
Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
title_full |
Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
title_fullStr |
Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
title_full_unstemmed |
Demystifying and puncturing the inflated delay in smartphone-based WiFi network measurement |
title_sort |
demystifying and puncturing the inflated delay in smartphone-based wifi network measurement |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/3618 https://ink.library.smu.edu.sg/context/sis_research/article/4619/viewcontent/DemystifyingWifiNetworkMeasure_2016_CoNEXT.pdf |
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