Nathan D. Mickulicz, Utsav Drolia, P. Narasimhan, R. Gandhi
{"title":"Zephyr:从高密度体育场内部署的第一人称无线分析","authors":"Nathan D. Mickulicz, Utsav Drolia, P. Narasimhan, R. Gandhi","doi":"10.1109/WoWMoM.2016.7523552","DOIUrl":null,"url":null,"abstract":"Zephyr is a first-person wireless-performance data-collection approach to study the end-user's perspective of the wireless-network's performance using an OTT video-streaming service used in 35 mobile applications and 25 sports stadiums. We use Zephyr to provide insights into user behavior and user disengagement from production traces gathered over 2+ years. We identify the different types of failures that we've observed, and describe how frequently they occur. Finally, we correlate low-level Wi-Fi performance data with application-level failures and describe the trends that we observe. The data from Zephyr reveals that 50% of users disengage if video playback does not begin within 12 seconds, and also if video playback stalls, instream, for more than 6 seconds. The most dominant failure type for video playback is cancellation during the initial buffering phase, which accounts for 30% of all streams.","PeriodicalId":187747,"journal":{"name":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Zephyr: First-person wireless analytics from high-density in-stadium deployments\",\"authors\":\"Nathan D. Mickulicz, Utsav Drolia, P. Narasimhan, R. Gandhi\",\"doi\":\"10.1109/WoWMoM.2016.7523552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Zephyr is a first-person wireless-performance data-collection approach to study the end-user's perspective of the wireless-network's performance using an OTT video-streaming service used in 35 mobile applications and 25 sports stadiums. We use Zephyr to provide insights into user behavior and user disengagement from production traces gathered over 2+ years. We identify the different types of failures that we've observed, and describe how frequently they occur. Finally, we correlate low-level Wi-Fi performance data with application-level failures and describe the trends that we observe. The data from Zephyr reveals that 50% of users disengage if video playback does not begin within 12 seconds, and also if video playback stalls, instream, for more than 6 seconds. The most dominant failure type for video playback is cancellation during the initial buffering phase, which accounts for 30% of all streams.\",\"PeriodicalId\":187747,\"journal\":{\"name\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WoWMoM.2016.7523552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WoWMoM.2016.7523552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Zephyr: First-person wireless analytics from high-density in-stadium deployments
Zephyr is a first-person wireless-performance data-collection approach to study the end-user's perspective of the wireless-network's performance using an OTT video-streaming service used in 35 mobile applications and 25 sports stadiums. We use Zephyr to provide insights into user behavior and user disengagement from production traces gathered over 2+ years. We identify the different types of failures that we've observed, and describe how frequently they occur. Finally, we correlate low-level Wi-Fi performance data with application-level failures and describe the trends that we observe. The data from Zephyr reveals that 50% of users disengage if video playback does not begin within 12 seconds, and also if video playback stalls, instream, for more than 6 seconds. The most dominant failure type for video playback is cancellation during the initial buffering phase, which accounts for 30% of all streams.