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US Patent 9916232 Methods and systems of distributed tracing

Patent 9916232 was granted and assigned to Rackspace on March, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Rackspace
Rackspace
Current Assignee
Rackspace
Rackspace
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9916232
Date of Patent
March 13, 2018
Patent Application Number
14839533
Date Filed
August 28, 2015
Patent Citations Received
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US Patent 11924073 System and method of assigning reputation scores to hosts
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US Patent 11966827 Data management forecasting from distributed tracing
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US Patent 11936663 System for monitoring and managing datacenters
0
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US Patent 12113684 Identifying bogon address spaces
0
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US Patent 11983094 Software diagnostic context selection and use
0
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US Patent 11768755 Graph analysis and database for aggregated distributed trace flows
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US Patent 11894996 Technologies for annotating process and user information for network flows
0
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US Patent 11924072 Technologies for annotating process and user information for network flows
0
Patent Primary Examiner
‌
Hossain Morshed
Patent abstract

A system and methods are provided for distributed tracing in a distributed application. In one embodiment, a method includes observing a plurality of messages sent and received among components of the distributed application, generating a probabilistic model of a call flow from observed messages of the distributed system, and constructing a call flow graph based on the probabilistic model for the distributed application. Distributed tracing may include observing messages by performing the subscription-based observation techniques and operations to receive, message traces describing messages being communicated among components of the distributed application. In this regard, the tracing service may merge message traces from different instrumentation points with message traces obtained by observing message queues to generate a probabilistic model and call flow graph. A distributed application developer or other relevant user may benefit in efficiently and effectively tracking down a cause of an abnormal behavior or analyzing performance profiles.

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