{"version":"1.0","provider_name":"Salzburg Research Forschungsgesellschaft","provider_url":"https:\/\/www.salzburgresearch.at\/en\/","author_name":"Birgit Strohmeier","author_url":"https:\/\/www.salzburgresearch.at\/en\/author\/birgit\/","title":"AQUILA Distributed QoS Measurement - Salzburg Research Forschungsgesellschaft","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"e5jdXZ5nYa\"><a href=\"https:\/\/www.salzburgresearch.at\/en\/publikation\/aquila-distributed-qos-measurement\/\">AQUILA Distributed QoS Measurement<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.salzburgresearch.at\/en\/publikation\/aquila-distributed-qos-measurement\/embed\/#?secret=e5jdXZ5nYa\" width=\"600\" height=\"338\" title=\"&#8220;AQUILA Distributed QoS Measurement&#8221; &#8212; Salzburg Research Forschungsgesellschaft\" data-secret=\"e5jdXZ5nYa\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.salzburgresearch.at\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"The AQUILA project defines and implements a QoS architecture for dynamic end-to-end service provisioning in IP networks. This paper presents the distributed QoS measurement architecture (DMA) designed as a part of AQUILA. The scope of QoS measurement in AQUILA is the evaluation and validation of the AQUILA architecture and the support of the AQUILA resource control mechanisms. The measurement ethodology in AQUILA comprises active and passive measurement. Active measurement is performed by synthetic application-like flows and by probing flows. While application-like flows are emulating real enduser applications, probing flows are thin measurement flows for monitoring the network behavior. Passive measurement in AQUILA relies on data gathered from different network elements. To implement the different measurement methods, three tools were developed: Measurement agents with application-like load generators for the measurement of end-to-end QoS of single and aggregated flow loads, measurement agents for active network probing to monitor the path performance characteristics and a router QoS monitor [&hellip;]"}