A queueing equivalent thresholding method for thinning traffic captures

机译：疏透交通捕获的排队等效阈值方法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In the development of accurate capacity planning and network resource dimensioning models, network operators must handle representative information about the traffic volumes traversing its network. However, the amount of traffic measurements available over which to perform such analysis, processing and storage is overwhelming. For this reason, the research community has understood the importance of finding an effective mechanism to reduce (or subsample) such huge amount of data, with minimum loss of information. More specifically, this work considers the traffic volume traversing a given router per unit of time, which can be obtained by periodically polling the counters of the interfaces table via SNMP. We further propose a mechanism to downsample such traffic time-series using Multi-Resolution Analysis with wavelets, and evaluate the optimal subsampling level based on comparing the queueing behavior of the subsampled and original signals at the output of a router. This mechanism is more related to network performance than conventional comparison levels, since queueing delay is a very representative QoS metric. The method presented in this paper has been applied to an extensive set of real measurements collected from RedIRIS, the Spanish National Research Network. The results show that it is possible to reduce the data to one fourth of its original size for the traffic generated by most analyzed universities, and even to one eighth for data collected from routers with more aggregated traffic, both with a high level of confidence.

机译：在精确的容量规划和网络资源标注车型的开发，网络运营商必须处理有关交通流量穿越其网络具有代表性的信息。然而，业务测量的可用在其上的量来执行这样的分析，处理和存储是压倒性的。出于这个原因，研究界已经明白找到一个有效的机制，以减少（或子样本）这样的数据量巨大，随着信息损失最小的重要性。更具体地说，这项工作考虑业务量遍历每单位给定的路由器的时间，这可以通过定期轮询经由SNMP来获得接口表的计数器。我们进一步提出了一个机制，利用多分辨率分析与小波下采样这样的交通时间序列，并评估基于在路由器的输出进行比较的二次抽样和原始信号的排队行为的最佳二次抽样水平。这种机制是更多地涉及比传统的比较水平的网络性能，因为排队时延是一个非常有代表性的QoS度量。本文介绍的方法已经被应用到一组广泛的从RedIRIS，西班牙国家研究网络采集的实时测量。结果表明，它可以将数据减少到四分之一的原始大小为大多数分析高校产生的流量，甚至八分之一从路由器收集更多的合计通信量数据，都具有高度的信心。

著录项

来源
《IEEE Network Operations and Management Symposium》|2008年||共8页
会议地点
作者
Jose Luis Garcia-Dorado; Javier Aracil; Jose Alberto Hernandez; Jorge E. Lopez de Vergara;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 TP393-53;
关键词
Time-series subsampling; Multi-resolution analysis with Wavelets; Equivalent queueing behavior; Storage and analysis of network monitoring data;

机译：时间序列分配;具有小波的多分辨率分析;等效排队行为;网络监控数据的存储和分析;

相似文献

外文文献
中文文献
专利

1. Threshold Queueing to Describe the Fundamental Diagram of Uninterrupted Traffic [J] . Baer Niek, Boucherie Richard J., van Ommeren Jan-Kees C. W. Transportation Science . 2019,第2期

机译：阈值排队描述不间断流量的基本图
2. Analysis of multiple-threshold queues for congestion control of heterogeneous traffic streams [J] . Irfan Awan Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies . 2006,第6期

机译：多阈值队列的异类流量拥塞控制分析
3. Enhanced Dynamic Bandwidth Allocation Proportional to Queue Length with Threshold Value for VBR Traffic [J] . Maryam Madani, Shadpour Mallakpour The international arab journal of information technology . 2006,第2期

机译：VBR流量的增强动态带宽分配与具有阈值的队列长度成比例
4. A queueing equivalent thresholding method for thinning traffic captures [C] . Jose Luis Garcia-Dorado, Javier Aracil, Jose Alberto Hernandez, IEEE Network Operations and Management Symposium . 2008

机译：疏透交通捕获的排队等效阈值方法
5. Heavy traffic and Markov modulated models for wireless queueing systems and numerical methods for associated resource allocation problems . [D] . Lin, Chuan. 2006

机译：无线排队系统的繁忙交通和马尔可夫调制模型及相关资源分配问题的数值方法。
6. End-to-End QoS Smart Queue Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks [O] . Mykola Beshley, Natalia Kryvinska, Marian Seliuchenko, 2020

机译：4G / 5G网络中窄带物联网服务的端到端QoS智能队列管理算法和流量优先级排序机制
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Mean Waiting Time of a GI/G/1 Queue in Light Traffic Via Random Thinning [R] . Nananukul, S., Gong, W. B. 1995

机译：通过随机细化的轻型交通中GI / G / 1队列的平均等待时间

A queueing equivalent thresholding method for thinning traffic captures

摘要

著录项

相似文献

相关主题

期刊订阅