{"title":"量化浏览器、操作系统和网络延迟对Web地图应用程序的时间即时度量的影响","authors":"Hamed Z. Jahromi, D. Delaney, Andrew Hines","doi":"10.1109/ICCT46805.2019.8947014","DOIUrl":null,"url":null,"abstract":"Modelling Web Quality of Experience (QoE) using technical quality metrics has received much attention over the past years and has become an important part of network QoE monitoring and management studies. Mapping Web QoE metrics (e.g. MOS) to application metrics (e.g. waiting time) and network QoS metrics (e.g delay) helps to quantify the influence of different factor on the perceived quality. The literature shows that network delays can result in significantly longer loading times for web browsing and consequently impact the user’s perceived quality. We investigate the impact of network delay on the measurement of application quality metrics for three browsers and three operating systems using a web mapping application for our experimental tests. We then analyse how the choice of browser and operating system influences application level quality metrics. We demonstrate how time instant quality metrics measurement vary depending on the operating system due to TCP Retransmition TimeOut (RTO). Finally, we publish the collected data for the future studies.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying the Influence of Browser, OS and Network Delay on Time Instant Metric Measurements for a Web Mapping Application\",\"authors\":\"Hamed Z. Jahromi, D. Delaney, Andrew Hines\",\"doi\":\"10.1109/ICCT46805.2019.8947014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modelling Web Quality of Experience (QoE) using technical quality metrics has received much attention over the past years and has become an important part of network QoE monitoring and management studies. Mapping Web QoE metrics (e.g. MOS) to application metrics (e.g. waiting time) and network QoS metrics (e.g delay) helps to quantify the influence of different factor on the perceived quality. The literature shows that network delays can result in significantly longer loading times for web browsing and consequently impact the user’s perceived quality. We investigate the impact of network delay on the measurement of application quality metrics for three browsers and three operating systems using a web mapping application for our experimental tests. We then analyse how the choice of browser and operating system influences application level quality metrics. We demonstrate how time instant quality metrics measurement vary depending on the operating system due to TCP Retransmition TimeOut (RTO). Finally, we publish the collected data for the future studies.\",\"PeriodicalId\":306112,\"journal\":{\"name\":\"2019 IEEE 19th International Conference on Communication Technology (ICCT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 19th International Conference on Communication Technology (ICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT46805.2019.8947014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46805.2019.8947014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying the Influence of Browser, OS and Network Delay on Time Instant Metric Measurements for a Web Mapping Application
Modelling Web Quality of Experience (QoE) using technical quality metrics has received much attention over the past years and has become an important part of network QoE monitoring and management studies. Mapping Web QoE metrics (e.g. MOS) to application metrics (e.g. waiting time) and network QoS metrics (e.g delay) helps to quantify the influence of different factor on the perceived quality. The literature shows that network delays can result in significantly longer loading times for web browsing and consequently impact the user’s perceived quality. We investigate the impact of network delay on the measurement of application quality metrics for three browsers and three operating systems using a web mapping application for our experimental tests. We then analyse how the choice of browser and operating system influences application level quality metrics. We demonstrate how time instant quality metrics measurement vary depending on the operating system due to TCP Retransmition TimeOut (RTO). Finally, we publish the collected data for the future studies.