Gradle Log II · GitHub

Zzaer binary options. System And Method For Network Incident Remediation Recommendations

A method for identifying network incidents and providing remediation recommendations for the network incidents, the method comprising: analyzing a stream of network data that is captured over a time period, in order to identify a plurality of incidents within the network over the time period, each network incident relating to an issue and having a video about options of symptoms that is associated with a set of possible root-causes; and identifying a plurality of groups of network incidents with the network incidents in each group related to the same issue; analyzing the grouped network incidents to identify, and to provide a display of, a list of remediation recommendations that includes a remediation recommendation for each group of incidents, each group's remediation recommendation identifying a remediation to resolve the issue related to the group and a quantified zzaer binary options benefit from implementing the remediation.

The method of claim zzaer binary options, wherein each group's remediation recommendation further identifies at least one root cause for the network incidents in the group.

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The method of claim 28, wherein identifying the plurality of groups comprises grouping the network incidents that relate to the same issue. The method of claim 28, wherein network incidents are associated with client incident hours, the method further comprising computing for each group an aggregate client incident hour based on the client incident hours of each network incident in the group, wherein analyzing the grouped network incidents comprises generating a sorted order of the groups based on the aggregate client incident hours of the groups.

The method of claim 31, wherein generating the sorted order comprises generating a sorted order that lists the groups from highest to lowest aggregated incident hours, and providing the display of the list zzaer binary options remediation recommendations comprises providing a display of a subset of N groups of network incidents that have the highest aggregate incident hours, N being zzaer binary options integer.

The method of claim 28, wherein a network incident is a client, infrastructure, or application incident that negatively affects a subset of elements in the network.

Incident Response

The method of zzaer binary options 28, wherein the quantified expected benefit from implementing at least one remediation recommendation is expressed in client incident hours. The method of zzaer binary options 28, wherein the list of remediation recommendations is sorted based on actionability, wherein actionability is defined as how quickly a particular remediation may be applied.

The method of claim 28 further comprising: generating a network incident graph to identify localized areas associated with the network incidents; and providing the generated graph for display. The method of claim 28 further comprising: receiving zzaer binary options of a remediation recommendation from the list of remediation recommendations; implementing the selected remediation recommendation from the list of remediation recommendations.

The non-transitory machine readable medium of claim 38, wherein each group's remediation recommendation further identifies at least one root cause for the network incidents in the group. The non-transitory machine readable medium of claim 38, wherein the set of instructions for identifying the plurality of groups comprises a set of instructions for grouping the network incidents that relate to the same issue.

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The non-transitory machine readable medium of claim 38, wherein network incidents are associated with client incident hours, the program further comprises a set of instructions for computing for each group an zzaer binary options client incident hour based on the client incident hours of each network incident in the group, wherein the set of instructions for analyzing the grouped network incidents comprises a set of instructions for generating a sorted order of the groups based on the aggregate client incident hours of the groups.

The non-transitory machine readable medium of claim 31, wherein the set of instructions for generating the sorted order comprises a set of instructions for generating a sorted order that lists the groups from highest to lowest aggregated incident hours, and the set of instructions for providing the display of the list of remediation recommendations comprises a set of instructions for providing a display of a subset of N groups of network incidents that have the highest aggregate incident hours, N being an integer.

The non-transitory machine readable medium of claim 38, wherein a network incident is a client, infrastructure, or application incident that negatively affects a subset of elements in the network.

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The non-transitory machine readable medium of claim 38, wherein the quantified expected benefit from implementing at least one remediation recommendation is expressed in client incident binary options strategy advisor. The non-transitory machine readable medium of claim 38, wherein the list of remediation recommendations is sorted based on actionability, wherein actionability is defined as how quickly a particular remediation may be applied.

The non-transitory machine readable medium of claim 38, wherein the program further comprises a set of instructions for: generating a network incident graph to identify localized areas associated with the network incidents; and providing the generated graph for display.

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The non-transitory machine readable medium of claim 38, wherein the program further comprises a set of instructions for: receiving selection of a remediation recommendation from the list of remediation recommendations; implementing the selected remediation recommendation from the list of remediation recommendations. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright rights whatsoever.

Much more than documents.

More particularly, the present disclosure relates to a system and method that analyzes network data and recommends remediation actions to mitigate network incidents. On the applications front, modern networks have a huge mix in application types and deployment locations.

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For example, business applications may be hosted off-premise in the cloud e. On the users and devices front, modern networks are accessed by a myriad of devices from wired desktops to wireless devices such as laptop computers, mobile phones, and tablet PCs.

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Moreover, they do not perform analysis across multiple disparate networks to yield better insights for any given network environment. Finally, traditional performance monitoring and analytics tools are limited and are not proactive. In this regard, traditional performance monitoring and analytics tools provide raw data for users to explore, but do not provide recommendations on actions to take, provide predictions of future user performance, or the like. The list of remediation recommendations may be prioritized on based a total number of client-hours associated with that systemic issue.

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The list of remediation recommendations may be prioritized based zzaer binary options actionability, wherein actionability is defined as how quickly a particular remediation may be applied.

Analyzing the network incident graph may include using a highest weighted node algorithm to identify structures in the network incident graph.

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Analyzing the network incident graph may include using a most connected node algorithm to identify structures in the network incident graph. Analyzing the network incident graph may include using a node cluster with highest density algorithm to identify structures in the network incident graph.

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The list of remediation recommendations may be prioritized based on a total number of client-hours associated with that issue. The memory device storing instructions thereon that when executed by the one or more processors, may cause one or more processors to receive user input selecting a remediation recommendation from the list of remediation recommendations.

Indicators

The memory device storing instructions thereon may, when executed by the one or more processors, one or more processors to implement the user input selected remediation recommendation from the list of remediation recommendations. The figures are not necessarily drawn to scale, and elements of similar structures or functions are generally represented by like reference numerals for illustrative purposes throughout the figures. The figures are only intended to facilitate the description of the various embodiments described herein.

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The figures do not describe every aspect of the teachings disclosed herein and do not limit the scope of the claims. Other embodiments of the presently disclosed system and method readily suggest themselves to such skilled persons having the assistance of this disclosure.

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