{"id":152703,"date":"2003-11-01T00:00:00","date_gmt":"2003-11-01T00:00:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/msr-research-item\/peerpressure-a-statistical-method-for-automatic-misconfiguration-troubleshooting\/"},"modified":"2018-10-16T20:11:10","modified_gmt":"2018-10-17T03:11:10","slug":"peerpressure-a-statistical-method-for-automatic-misconfiguration-troubleshooting","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/peerpressure-a-statistical-method-for-automatic-misconfiguration-troubleshooting\/","title":{"rendered":"PeerPressure: A Statistical Method for Automatic Misconfiguration Troubleshooting"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Technical support contributes 17% of the total cost of ownership of today\u2019s desktop PCs [20]. An important element of technical support is troubleshooting misconfigured applications. Misconfiguration troubleshooting is particularly challenging, because configuration information is shared and altered by multiple applications. In this paper, we present a novel troubleshooting algorithm, PeerPressure , which uses statistics from a set of sample machines to diagnose the root-cause misconfigurations on a sick machine. This is in contrast with methods that require manual identification on a healthy machine for diagnosing misconfigurations [24]. The elimination of this manual operation makes a significant step towards automated misconfiguration troubleshooting. In PeerPressure , we introduce a ranking metric for misconfiguration candidates. This metric is based on empirical Bayesian estimation . We have developed a PeerPressure troubleshooting system and used a database of 87 machine configuration snapshots to evaluate its performance. With 20 real-world troubleshooting cases, PeerPressure can effectively pinpoint the root-cause misconfigurations for 12 of them. For the remaining ones, PeerPressure significantly narrows down the number of root-cause candidates by three orders of magnitude.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Technical support contributes 17% of the total cost of ownership of today\u2019s desktop PCs [20]. An important element of technical support is troubleshooting misconfigured applications. Misconfiguration troubleshooting is particularly challenging, because configuration information is shared and altered by multiple applications. In this paper, we present a novel troubleshooting algorithm, PeerPressure , which uses statistics from [&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-2003-80","msr_organization":"","msr_pages_string":"12","msr_page_range_start":"12","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":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"Microsoft 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