{"id":152817,"date":"2005-03-01T00:00:00","date_gmt":"2005-03-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/client-based-characterization-and-analysis-of-end-to-end-internet-faults\/"},"modified":"2018-10-16T20:17:36","modified_gmt":"2018-10-17T03:17:36","slug":"client-based-characterization-and-analysis-of-end-to-end-internet-faults","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/client-based-characterization-and-analysis-of-end-to-end-internet-faults\/","title":{"rendered":"Client-based Characterization and Analysis of End-to-End Internet Faults"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present a client-based characterization of end-to-end Internet faults. Unlike prior studies of Internet faults that have focused on probing routers using tools such as traceroute and\/or listening in on routing protocol messages, we consider a novel approach based on having clients passively observe end-to-end transactions that they are involved in. Observations from multiple clients are combined to arrive at a more complete picture of the extent and the likely cause of faults. We present the characterization of real faults observed by a heterogeneous collection of 134 client hosts, as they repeatedly downloaded content from a diverse set of 80 web sites, over a period of one month. We find a wide range in the failure rate of these transactions (e.g., 100% failure rate for certain client-server pairs). About 30% of transaction failures are due to DNS problems, with most of the rest being due to the inability of the client to be able to establish a TCP connection to the server. Also, by correlating failure observations across clients and servers, we find that client-side problems account for the overwhelming majority of DNS lookup failures whereas server-side problems are the dominant cause of TCP connection failures. We believe that our findings suggest the promise of a novel approach to diagnosing end-to-end Internet faults based on leveraging the collective experience of a diverse set of end-hosts to overcome the opacity of the network. We briefly discuss the key challenges in realizing such a system.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a client-based characterization of end-to-end Internet faults. Unlike prior studies of Internet faults that have focused on probing routers using tools such as traceroute and\/or listening in on routing protocol messages, we consider a novel approach based on having clients passively observe end-to-end transactions that they are involved in. Observations from multiple clients [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2005-29","msr_organization":"","msr_pages_string":"16","msr_page_range_start":"16","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Venkata N. 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