Workshop on End-to-End Monitoring Techniques and Services, 2005.最新文献

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Utilizing higher order statistics of packet interarrival times for bottleneck detection 利用数据包到达间隔时间的高阶统计信息进行瓶颈检测
Workshop on End-to-End Monitoring Techniques and Services, 2005. Pub Date : 2005-05-15 DOI: 10.1109/E2EMON.2005.1564476
P. Varga, Gergely Kún
{"title":"Utilizing higher order statistics of packet interarrival times for bottleneck detection","authors":"P. Varga, Gergely Kún","doi":"10.1109/E2EMON.2005.1564476","DOIUrl":"https://doi.org/10.1109/E2EMON.2005.1564476","url":null,"abstract":"This paper introduces a new approach for determining bottleneck link locations in a network. The considered measurement model is passive monitoring of a backbone link. We analyze the properties of packet interarrival time (PIT) distribution functions of network segments and make decisions whether the extracted properties of a link suggest bottleneck behavior or not. The correlation between bottleneck behavior and packet interarrival time distribution is demonstrated through simulations featuring tighter and tighter bottleneck connections. Locating shared bottlenecks with passive monitoring requires effective metrics for distinguishing seriously congested links from normal or underutilized connections. The current paper presents the third and fourth central moments (skewness and kurtosis, respectively) of PIT distribution as possible and promising metrics for bottleneck detection. According to the simulation results, kurtosis of PITs is found to be a powerful measure of bottleneck behavior. This is further validated by investigation of real measurement data.","PeriodicalId":354965,"journal":{"name":"Workshop on End-to-End Monitoring Techniques and Services, 2005.","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817360","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}
引用次数: 9
Management interface for programmable end-to-end 'data connectivity' provisioning 可编程端到端“数据连接”配置的管理接口
Workshop on End-to-End Monitoring Techniques and Services, 2005. Pub Date : 2005-05-15 DOI: 10.1109/E2EMON.2005.1564466
K. Ravindran
{"title":"Management interface for programmable end-to-end 'data connectivity' provisioning","authors":"K. Ravindran","doi":"10.1109/E2EMON.2005.1564466","DOIUrl":"https://doi.org/10.1109/E2EMON.2005.1564466","url":null,"abstract":"The paper describes a management-oriented model for cost-effective 'data connectivity' provisioning between the peer entities of a networked multimedia application. The 'connectivity' service provider (SP) may maintain multiple protocol mechanisms to support its clientele: ranging between bandwidth-reserved paths to bandwidth-shared paths. Client applications prescribe the required QoS obligations through a service interface, with the SP instantiating one of the protocol modules with appropriate parameters to meet the QoS requirements. The model allows dynamic switching from one protocol module to another, based on a notion of cost associated with bandwidth usage by the network infrastructure for a given level of QoS offering. The management functions of SP monitor the changes and/or outages in network bandwidth in a dynamic setting, and map them into connectivity costs incurred by the selected protocol mechanism. The paper describes the signaling required between the SP and network infrastructure to install appropriate policy functions that can make the connectivity provisioning cost-optimal.","PeriodicalId":354965,"journal":{"name":"Workshop on End-to-End Monitoring Techniques and Services, 2005.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796569","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}
引用次数: 4
An inline measurement method for capacity of end-to-end network path 端到端网络路径容量的在线测量方法
Workshop on End-to-End Monitoring Techniques and Services, 2005. Pub Date : 2005-05-15 DOI: 10.1109/E2EMON.2005.1564469
C. Man, G. Hasegawa, M. Murata
{"title":"An inline measurement method for capacity of end-to-end network path","authors":"C. Man, G. Hasegawa, M. Murata","doi":"10.1109/E2EMON.2005.1564469","DOIUrl":"https://doi.org/10.1109/E2EMON.2005.1564469","url":null,"abstract":"We previously proposed a new version of TCP, called inline measurement TCP (ImTCP), in Cao Le Thanh Man et al. (2004). The ImTCP sender adjusts the transmission intervals of data packets and then utilizes the arrival intervals of ACK packets for available bandwidth estimation. This type of active measurement is preferred because the obtained results are as accurate as those of other conventional types of active measurement, even though no extra probe traffic is injected onto the network. In the present research, we combine a new capacity measurement function with ImTCP in order to enable simultaneous measurement of both capacity and available bandwidth in ImTCP. The capacity measurement algorithm is a new packet-pair-based measurement technique that utilizes the estimated available bandwidth values for capacity calculation. This new algorithm promises faster measurement than current packet-pair-based measurement algorithms for various situations and works well for high-load networks, in which current algorithms do not work properly. Moreover, the new algorithm provides a confidence interval for the measurement result.","PeriodicalId":354965,"journal":{"name":"Workshop on End-to-End Monitoring Techniques and Services, 2005.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508805","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}
引用次数: 6
Ontimemeasure: a scalable framework for scheduling active measurements ontimemmeasure:用于调度活动测量的可伸缩框架
Workshop on End-to-End Monitoring Techniques and Services, 2005. Pub Date : 2005-05-15 DOI: 10.1109/E2EMON.2005.1564471
P. Calyam, Chang-Gun Lee, Phani Kumar Arava, Dima Krymskiy, Duhee Lee
{"title":"Ontimemeasure: a scalable framework for scheduling active measurements","authors":"P. Calyam, Chang-Gun Lee, Phani Kumar Arava, Dima Krymskiy, Duhee Lee","doi":"10.1109/E2EMON.2005.1564471","DOIUrl":"https://doi.org/10.1109/E2EMON.2005.1564471","url":null,"abstract":"In order to satisfy and maintain service level agreements (SLAs), which demand high network availability and good network health, ISPs have started instrumenting their networks with network measurement infrastructures (NMIs) that are composed of dedicated measurement servers. Active measurements are frequently used in NMIs to regularly monitor network health and analyze the experience of end-user application traffic traversing the network. However, active measurements initiated by measurement servers need to be regulated. Unregulated active measurement traffic can cause an unpredictable negative impact on the actual application traffic. Also, running simultaneous conflicting active measurements on measurement servers could result in misleading reports of network performance. In this paper, we describe our active measurements scheduling framework called \"OnTimeMeasure\" that allows ISPs to regulate the amount of active measurement traffic injected into the network and also prevents conflicts in ongoing active measurements between measurement servers. OnTimeMeasure provides a simple scripting language interface to specify various measurement requirements such as physical topology of measurement server clusters, periodicity of the measurements, and properties of measurement tools. For a given measurement requirements script, OnTimeMeasure uses an efficient heuristic bin-packing algorithm to generate measurement timetables for orchestrating active measurements for a network involving multiple measurement servers, each hosting multiple measurement tools.","PeriodicalId":354965,"journal":{"name":"Workshop on End-to-End Monitoring Techniques and Services, 2005.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132851331","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}
引用次数: 14
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