{"id":10596,"date":"2024-05-02T16:00:04","date_gmt":"2024-05-02T13:00:04","guid":{"rendered":"https:\/\/vasexperts.com\/?p=10596"},"modified":"2025-08-11T14:13:37","modified_gmt":"2025-08-11T11:13:37","slug":"effective-network-monitoring-with-ssg-and-qoe-module-practical-case-study","status":"publish","type":"post","link":"https:\/\/vasexperts.com\/fr\/blog\/dpi\/effective-network-monitoring-with-ssg-and-qoe-module-practical-case-study\/","title":{"rendered":"Surveillance efficace du r\u00e9seau avec le module SSG et QoE + \u00e9tude de cas pratique"},"content":{"rendered":"Dans cet article, nous examinerons deux \u00e9l\u00e9ments cl\u00e9s de la surveillance du r\u00e9seau,    <strong>  Stingray Service Gateway   <\/strong>   (une plateforme bas\u00e9e sur la technologie Deep Packet Inspection) et    <strong>  le module QoE (Quality of Experience)   <\/strong>   , et examiner une \u00e9tude de cas pratique sur la recherche de probl\u00e8mes de r\u00e9seau.\r\n\r\n   <strong>  Stingray Service Gateway (SSG)   <\/strong>   permet d\u2019analyser le trafic en temps r\u00e9el. Il permet non seulement de surveiller le taux d\u2019\u00e9tablissement des connexions et le nombre de pertes pour les connexions TCP, mais aussi d\u2019identifier les goulets d\u2019\u00e9tranglement qui sont difficiles \u00e0 d\u00e9tecter avec les outils de surveillance standard.\r\n\r\nSSG peut \u00eatre install\u00e9 dans la br\u00e8che (mode Inline) ou sur le miroir de trafic (mode Mirror).\r\n\r\nLe mode Inline permet de connecter le dispositif dans l\u2019espace des liens actifs entre deux routeurs et constitue le sch\u00e9ma d\u2019installation recommand\u00e9, offrant toutes les fonctionnalit\u00e9s du syst\u00e8me,\r\n\r\n<a href=\"\/wp-content\/uploads\/2024\/02\/onstick-1.png\" data-fancybox=\"\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/02\/onstick-1.png\" alt=\"\" width=\"734\" height=\"234\"><\/noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/02\/onstick-1.png\" alt=\"\" width=\"734\" height=\"234\" data-src=\"\/wp-content\/uploads\/2024\/02\/onstick-1.png\"><\/a>\r\n\r\n<em>Mode Inline<\/em>\r\n\r\ntandis que le mode d\u2019installation en miroir limite les fonctionnalit\u00e9s au filtrage du trafic pour se conformer \u00e0 la l\u00e9gislation et \u00e0 la collecte de statistiques.\r\n\r\n<a href=\"\/wp-content\/uploads\/2024\/04\/mirror-com.svg\" data-fancybox=\"\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/04\/mirror-com.svg\" alt=\"\" width=\"541\" height=\"350\"><\/noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/04\/mirror-com.svg\" alt=\"\" width=\"541\" height=\"350\" data-src=\"\/wp-content\/uploads\/2024\/04\/mirror-com.svg\"><\/a>\r\n\r\n<em>Mode miroir<\/em>\r\n\r\n   <strong>  Le module d\u2019analyse de la qualit\u00e9 de l\u2019environnement   <\/strong>   vise \u00e0 \u00e9valuer la qualit\u00e9 de service de l\u2019utilisateur final sur la base des donn\u00e9es re\u00e7ues du DPI. Il \u00e9value divers aspects de l\u2019exp\u00e9rience de l\u2019utilisateur, tels que la latence, le d\u00e9bit de donn\u00e9es, les mod\u00e8les de trafic des protocoles d\u2019application et les taux de perte de paquets, ce qui vous permet de r\u00e9agir rapidement aux probl\u00e8mes et d\u2019optimiser les performances du r\u00e9seau afin de garantir un niveau \u00e9lev\u00e9 de qualit\u00e9 de service.\r\n\r\nLe module QoE collecte les mesures suivantes :\r\n<ul>\r\n \t<li>Temps de parcours aller-retour (RTT);<\/li>\r\n \t<li>Nombre de re-demandes;<\/li> <li>Nombre de sessions, nombre d\u2019utilisateurs, etc.\r\n \t<\/li><li>Nombre de sessions, d\u2019appareils, d\u2019agents, d\u2019adresses IP par abonn\u00e9 ;<\/li>\r\n \t<li>R\u00e9partition du trafic par application et protocoles de transport;<\/li>\r\n \t<li>Distribution du trafic par direction et AS;<\/li>\r\n \t<li>Clickstream pour chaque abonn\u00e9 (SNI, CN, URL).<\/li>\r\n<\/ul>\r\n<h2>Comment le r\u00e9seau est-il surveill\u00e9 avec SSG et QoE?<\/h2>\r\n<a href=\"\/wp-content\/uploads\/2024\/04\/com.svg\" data-fancybox=\"\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/04\/com.svg\" alt=\"\" width=\"431\" height=\"420\"><\/noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/04\/com.svg\" alt=\"\" width=\"431\" height=\"420\" data-src=\"\/wp-content\/uploads\/2024\/04\/com.svg\"><\/a>\r\n\r\nLa surveillance du r\u00e9seau \u00e0 l\u2019aide des technologies SSG et du module QoE est une proc\u00e9dure qui comprend plusieurs \u00e9tapes :\r\n<h3>1. Capture et \u00e9quilibrage du trafic<\/h3>\r\nLe trafic est extrait du c\u0153ur du r\u00e9seau et envoy\u00e9 \u00e0 l\u2019\u00e9quilibreur de charge SSG, qui r\u00e9partit la charge de mani\u00e8re \u00e9gale entre plusieurs serveurs SSG. L\u2019\u00e9quilibreur peut g\u00e9rer jusqu\u2019\u00e0 800 Gbps de trafic en miroir.\r\nVous pouvez en savoir plus sur le fonctionnement de l\u2019\u00e9quilibreur de charge <a rel=\"nofollow\" href=\"https:\/\/wiki.vasexperts.com\/doku.php?id=dpi:load_balancer:start\">dans notre base de connaissances<\/a>\r\n<h3>2. collecte et analyse des statistiques<\/h3>\r\nLes statistiques IPFIX (NetFlow v10) de chaque serveur SSG sont collect\u00e9es et transmises \u00e0 un cluster de serveurs QoE, o\u00f9 les informations sont accumul\u00e9es et stock\u00e9es avec la possibilit\u00e9 de personnaliser le temps de stockage.\r\n\r\nCes statistiques contiennent des informations sur l\u2019IPDR (Internet Protocol Detail Record), qui comprennent le RTT (round-trip time) et le nombre de retransmissions.\r\n\r\n   [important]     <strong>  RTT (round-round trip time)   <\/strong>   \u2013 le temps n\u00e9cessaire \u00e0 la transmission d\u2019un signal, traiter le signal re\u00e7u et en accuser r\u00e9ception. \r\n   <strong>  Retransmits   <\/strong>   \u2013 retransmission de paquets en cas de perte de paquets    [\/important]  \r\n\r\nCes donn\u00e9es sont utilis\u00e9es pour surveiller et d\u00e9terminer la qualit\u00e9 des services de communication.\r\n\r\nApr\u00e8s la collecte et l\u2019analyse des statistiques, <a rel=\"nofollow\" href=\"https:\/\/wiki.vasexperts.com\/doku.php?id=dpi:qoe:paramdescript\">des rapports sont g\u00e9n\u00e9r\u00e9s<\/a> et les r\u00e9sultats sont visualis\u00e9s pour faciliter l\u2019interpr\u00e9tation et la prise de d\u00e9cision par les administrateurs de r\u00e9seau. Les donn\u00e9es obtenues permettent d\u2019identifier et de r\u00e9soudre rapidement les probl\u00e8mes du r\u00e9seau, d\u2019optimiser son fonctionnement et d\u2019am\u00e9liorer le niveau de service pour les utilisateurs finaux.\r\n\r\nLes r\u00e9sultats de la surveillance et de l\u2019analyse des statistiques peuvent \u00e9galement \u00eatre utilis\u00e9s pour pr\u00e9voir la charge du r\u00e9seau et planifier sa mise \u00e0 l\u2019\u00e9chelle \u00e0 l\u2019avenir.\r\n<h2>Tester l\u2019efficacit\u00e9 de la qualit\u00e9 de l\u2019exp\u00e9rience \u2013 une \u00e9tude de cas pratique<\/h2>\r\nExaminons un sc\u00e9nario r\u00e9el de surveillance des statistiques avec le module QoE.\r\n<h3>Description de la connexion QoE<\/h3>\r\nLe trafic de l\u2019infrastructure virtuelle du client a \u00e9t\u00e9 mis en miroir sur le port du serveur BareMetal avec SSG.\r\n\r\nLa seule t\u00e2che du SSG consistait \u00e0 collecter des statistiques Netflow v10 \u00e0 l\u2019aide de champs personnalis\u00e9s, y compris les informations RTT et Retransmit pour les sessions TCP. Ces statistiques ont \u00e9t\u00e9 livr\u00e9es \u00e0 une machine virtuelle autonome sur laquelle le module de collecte de statistiques QoE Stor a \u00e9t\u00e9 d\u00e9ploy\u00e9.\r\n<h3>Tests effectu\u00e9s<\/h3>\r\n   <strong>  1. V\u00e9rification de la correspondance entre le pourcentage de retransmissions et les pertes r\u00e9elles configur\u00e9es sur l\u2019h\u00f4te   <\/strong>  \r\nPour le test, un h\u00f4te a \u00e9t\u00e9 utilis\u00e9 sur lequel Linux TC a \u00e9t\u00e9 utilis\u00e9 pour d\u00e9finir des param\u00e8tres qui suppriment artificiellement 30 % du trafic entrant sur l\u2019interface.\r\n<pre> #tc qdisc add dev eth0 root netem loss 30%\r\n #tc qdisc show dev eth0\r\n   qdisc netem 8003 : root refcnt 2 limit 1000 loss 30%<\/pre>\r\nLe test a produit des r\u00e9sultats d\u2019analyse de la qualit\u00e9 de l\u2019exp\u00e9rience indiquant un taux de retransmission de 30 % et correspondant \u00e9galement au RTT.\r\n\r\n<a href=\"\/wp-content\/uploads\/2024\/05\/qoe_1_eng.png\" data-fancybox=\"\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_1_eng.png\" alt=\"\" width=\"899\" height=\"277\"><\/noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_1_eng.png\" alt=\"\" width=\"899\" height=\"277\" data-src=\"\/wp-content\/uploads\/2024\/05\/qoe_1_eng.png\"><\/a>\r\n\r\nCes r\u00e9sultats indiquent que le module d\u2019analyse de la qualit\u00e9 de l\u2019exp\u00e9rience fonctionne correctement.\r\n\r\nPar d\u00e9faut, le temps d\u2019agr\u00e9gation des statistiques est de 15 minutes, ce param\u00e8tre peut \u00eatre r\u00e9duit \u00e0 1 minute, mais le volume de donn\u00e9es accumul\u00e9es augmentera alors.\r\n\r\n   <strong>  2. Am\u00e9liorer la connectivit\u00e9 avec l\u2019h\u00f4te en modifiant l\u2019itin\u00e9raire   <\/strong>  \r\n\r\nL\u2019un des h\u00f4tes a subi des retransmissions sur une session TCP.\r\n\u00c0 13 heures, le trafic sortant du pr\u00e9fixe probl\u00e9matique a \u00e9t\u00e9 r\u00e9achemin\u00e9 vers un chemin diff\u00e9rent, ce qui a entra\u00een\u00e9 la disparition des retransmissions et une am\u00e9lioration du temps de r\u00e9ponse. Ces mesures ont \u00e9galement \u00e9t\u00e9 confirm\u00e9es par les statistiques obtenues \u00e0 partir de la qualit\u00e9 de l\u2019exp\u00e9rience.\r\n\r\nJetons un coup d\u2019\u0153il visuel sur les changements de trajectoire du trafic :\r\n\r\n   <strong>  \u00ab AVANT \u00bb   <\/strong>  \r\n\r\n<a href=\"\/wp-content\/uploads\/2024\/05\/qoe_2_eng.png\" data-fancybox=\"\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_2_eng.png\" alt=\"\" width=\"985\" height=\"304\"><\/noscript><img loading=\"lazy\" decoding=\"async\" class=\" wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_2_eng.png\" alt=\"\" width=\"985\" height=\"304\" data-src=\"\/wp-content\/uploads\/2024\/05\/qoe_2_eng.png\"><\/a>\r\n\r\n   <strong>  \u00ab APR\u00c8S \u00bb   <\/strong>  \r\n\r\n<a href=\"\/wp-content\/uploads\/2024\/05\/qoe_3_eng.png\" data-fancybox=\"\"><noscript><img decoding=\"async\" class=\"size-full wp-image-\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_3_eng.png\" alt=\"\" width=\"\"><\/noscript><img decoding=\"async\" class=\"size-full wp-image- lazyload\" title=\"\" src=\"\/wp-content\/uploads\/2024\/05\/qoe_3_eng.png\" alt=\"\" width=\"\" data-src=\"\/wp-content\/uploads\/2024\/05\/qoe_3_eng.png\"><\/a>\r\n\r\nCes r\u00e9sultats indiquent \u00e9galement le bon fonctionnement du module d\u2019analyse de la qualit\u00e9 de l\u2019exp\u00e9rience et la capacit\u00e9 \u00e0 d\u00e9tecter les probl\u00e8mes de connectivit\u00e9 sur l\u2019internet.\r\n\r\n<h2> Conclusions<\/h2>\r\n\r\nLa fonctionnalit\u00e9 test\u00e9e permet d\u2019identifier les goulets d\u2019\u00e9tranglement dans le r\u00e9seau et peut servir d\u2019outil de surveillance pour la d\u00e9tection opportune et le travail proactif sur les zones probl\u00e9matiques.\r\n\r\nGr\u00e2ce \u00e0 l\u2019API, il est possible d\u2019int\u00e9grer SSG dans le syst\u00e8me de surveillance actuel afin de contr\u00f4ler les moments de d\u00e9gradation de la connectivit\u00e9 sur le r\u00e9seau.","protected":false},"excerpt":{"rendered":"<p>La surveillance du r\u00e9seau consiste \u00e0 observer en continu l&rsquo;\u00e9tat et le fonctionnement du r\u00e9seau afin d&rsquo;identifier et de corriger les probl\u00e8mes potentiels. Les outils de surveillance standard fournissent g\u00e9n\u00e9ralement des informations g\u00e9n\u00e9rales sur le trafic et la charge du r\u00e9seau. Cependant, des outils suppl\u00e9mentaires sont n\u00e9cessaires pour une analyse d\u00e9taill\u00e9e et l&rsquo;optimisation des performances du r\u00e9seau.<\/p>\n","protected":false},"author":24,"featured_media":10648,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51,44],"tags":[],"class_list":["post-10596","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dpi","category-quality-of-experience"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>(English) VASExperts<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<script type=\"application\/ld+json\" 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