A. A. Bisu, Alan Purvis, Katharine Brigham, Hongjian Sun
{"title":"A Framework for End-to-End Latency Measurements in a Satellite Network Environment","authors":"A. A. Bisu, Alan Purvis, Katharine Brigham, Hongjian Sun","doi":"10.1109/ICC.2018.8422913","DOIUrl":null,"url":null,"abstract":"In this work, a precise method for measuring end-to-end (E2E) latency in satellite Internet Protocol (IP) networks is proposed. Latency (i.e., time delay) is considered a key parameter that affects the quality of service (QoS) and the performance of communication systems. This is more pronounced in the IP over Satellite. Metrics such as throughput and bandwidth performance of communication systems are dependent on latency, which also has a direct impact on other QoS metrics, such as Internet packet transfer delay and delay variation (or jitter). The upper limits of QoS objective performance metrics are defined by E2E latency for different QoS traffic classes in this environment. Therefore, there is a need to develop efficient methods for the accurate measurement of E2E latency in a satellite IP environment. Two case study scenarios were developed for satellite heterogeneous networks to measure the latency in a satellite IP network. Two geostationary satellite network services were used to compare the performance of the different scenarios and networks. The results demonstrate that at least 50\\% of the E2E latency is due to the processing and transmitting of IP packets over the satellite in both scenarios. Inconsistent latency behaviour was also observed from daily results at different times of the day, which may degrade performance of jitter sensitive applications.","PeriodicalId":387855,"journal":{"name":"2018 IEEE International Conference on Communications (ICC)","volume":"os-33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2018.8422913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this work, a precise method for measuring end-to-end (E2E) latency in satellite Internet Protocol (IP) networks is proposed. Latency (i.e., time delay) is considered a key parameter that affects the quality of service (QoS) and the performance of communication systems. This is more pronounced in the IP over Satellite. Metrics such as throughput and bandwidth performance of communication systems are dependent on latency, which also has a direct impact on other QoS metrics, such as Internet packet transfer delay and delay variation (or jitter). The upper limits of QoS objective performance metrics are defined by E2E latency for different QoS traffic classes in this environment. Therefore, there is a need to develop efficient methods for the accurate measurement of E2E latency in a satellite IP environment. Two case study scenarios were developed for satellite heterogeneous networks to measure the latency in a satellite IP network. Two geostationary satellite network services were used to compare the performance of the different scenarios and networks. The results demonstrate that at least 50\% of the E2E latency is due to the processing and transmitting of IP packets over the satellite in both scenarios. Inconsistent latency behaviour was also observed from daily results at different times of the day, which may degrade performance of jitter sensitive applications.
在这项工作中,提出了一种在卫星互联网协议(IP)网络中测量端到端(E2E)延迟的精确方法。延迟(即时间延迟)被认为是影响服务质量(QoS)和通信系统性能的关键参数。这在IP over Satellite中更为明显。通信系统的吞吐量和带宽性能等指标依赖于延迟,延迟也直接影响其他QoS指标,如互联网数据包传输延迟和延迟变化(或抖动)。在此环境中,QoS目标性能指标的上限由不同QoS流量类别的端到端延迟定义。因此,有必要开发有效的方法来精确测量卫星IP环境中的端到端延迟。针对卫星异构网络开发了两个案例研究场景,以测量卫星IP网络中的延迟。使用两种地球同步卫星网络业务来比较不同场景和网络的性能。结果表明,在这两种情况下,至少50%的端到端延迟是由于在卫星上处理和传输IP数据包造成的。从每天不同时间的结果中还观察到不一致的延迟行为,这可能会降低对抖动敏感的应用程序的性能。