Invention Grant
- Patent Title: Detecting network conditions based on correlation between trend lines
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Application No.: US12570614Application Date: 2009-09-30
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Publication No.: US09967169B2Publication Date: 2018-05-08
- Inventor: Michael Paul DeHaan , Adrian Karstan Likins , Seth Kelby Vidal
- Applicant: Michael Paul DeHaan , Adrian Karstan Likins , Seth Kelby Vidal
- Applicant Address: US NC Raleigh
- Assignee: Red Hat, Inc.
- Current Assignee: Red Hat, Inc.
- Current Assignee Address: US NC Raleigh
- Agency: Lowenstein Sandler LLP
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L12/26 ; H04L12/24 ; H04L29/06

Abstract:
Embodiments relate systems and methods for detecting network conditions based on a correlation between trend lines. In embodiments, a network management server can monitor the status and operation of network machines, such as servers or targets, as well as network transmission hardware (e.g. routers). Streams of network operation data from those sources can be captured and stored. The management server or other logic can examine the network operation data to identify trend lines for network conditions, such as application faults, attempted intrusions, or other events or conditions. Trend line data can be treated to generate second or other higher-order derivatives, such as third-order derivatives or others. A time correlation between two or more trend lines and/or their higher order derivatives, for instance, the occurrence of a peak value in the same time window, can be used to identify an event, state or condition.
Public/Granted literature
- US20110078301A1 SYSTEMS AND METHODS FOR DETECTING NETWORK CONDITIONS BASED ON CORRELATION BETWEEN TREND LINES Public/Granted day:2011-03-31
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