AI driven 5G network and service management solution
US-12177092-B2 · Dec 24, 2024 · US
Methods, systems, and computer program products for network server performance anomaly detection
US8938532B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8938532-B2 |
| Application number | US-201013145850-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 8, 2010 |
| Priority date | Apr 8, 2009 |
| Publication date | Jan 20, 2015 |
| Grant date | Jan 20, 2015 |
How to read this patent
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
- Title
What the patent document calls the invention.
- Abstract
A short plain-language summary of the technical disclosure.
- Assignees and inventors
Who owns or filed the patent and who is credited as inventor.
- Key dates
Filing, priority, publication, and grant dates set the timeline.
- First independent claim
The legal scope of protection — read this for what is actually claimed.
- CPC / IPC classifications
Technology tags used to group this patent with similar filings.
- Citations and related patents
Prior art links and similar publications in this corpus.
Abstract
Official abstract text for this publication.
Methods, systems, and computer readable media for network server performance anomaly detection are disclosed. According to one aspect of the subject matter disclosed, a method is disclosed for real-time computation of an endpoint performance measure based on transport and network layer header information. The method includes passively collecting transport and network layer header information from packet traffic in a network. Connections in the network are modeled using an abstract syntax for characterizing a sequence of application-level bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. A performance measure of at least one endpoint is computed based on the application-level characteristics and the modeled connections.
First claim
Opening claim text (preview).
What is claimed is: 1. A method for real-time computation of an endpoint performance measure based on transport and network layer header information, the method comprising: (a) passively collecting transport and network layer header information from packet traffic in a network; (b) modeling connections in the network using an abstract syntax for characterizing a sequence of bidirectional application-level interactions between endpoints of each connection and delays between the i…
Assignees
Inventors
Classifications
Electricity · mapped topic
- H04L41/5009Primary
Electricity · mapped topic
Electricity · mapped topic
Electricity · mapped topic
Electricity · mapped topic
Patent family
Related publications grouped by family.
External sources
Next steps
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US8938532B2 cover?
- Methods, systems, and computer readable media for network server performance anomaly detection are disclosed. According to one aspect of the subject matter disclosed, a method is disclosed for real-time computation of an endpoint performance measure based on transport and network layer header information. The method includes passively collecting transport and network layer header information fr…
- Who is the assignee on this patent?
- Terrell Jeffrey, Jeffay Kevin, Smith Frank Donelson, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification H04L41/5009. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Jan 20 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).