{"title":"利用NetFlow发现关系，实现业务驱动的IT管理","authors":"A. Kind, D. Gantenbein, H. Etoh","doi":"10.1109/BDIM.2006.1649212","DOIUrl":null,"url":null,"abstract":"The understanding of relationships and dependencies between business processes and the underlying IT infrastructure is important for enabling business-driven IT management. This work uses the widespread NetFlow feature to derive direct and indirect traffic relationships in IT infrastructures. We define an algorithm for relationship discovery with NetFlow and describe the application of the discovery approach in a large production environment.","PeriodicalId":194540,"journal":{"name":"2006 IEEE/IFIP Business Driven IT Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Relationship Discovery with NetFlow to Enable Business-Driven IT Management\",\"authors\":\"A. Kind, D. Gantenbein, H. Etoh\",\"doi\":\"10.1109/BDIM.2006.1649212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The understanding of relationships and dependencies between business processes and the underlying IT infrastructure is important for enabling business-driven IT management. This work uses the widespread NetFlow feature to derive direct and indirect traffic relationships in IT infrastructures. We define an algorithm for relationship discovery with NetFlow and describe the application of the discovery approach in a large production environment.\",\"PeriodicalId\":194540,\"journal\":{\"name\":\"2006 IEEE/IFIP Business Driven IT Management\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE/IFIP Business Driven IT Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BDIM.2006.1649212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE/IFIP Business Driven IT Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BDIM.2006.1649212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relationship Discovery with NetFlow to Enable Business-Driven IT Management
The understanding of relationships and dependencies between business processes and the underlying IT infrastructure is important for enabling business-driven IT management. This work uses the widespread NetFlow feature to derive direct and indirect traffic relationships in IT infrastructures. We define an algorithm for relationship discovery with NetFlow and describe the application of the discovery approach in a large production environment.
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