Title:
METHODS AND SYSTEMS FOR PREDICTING SUDDEN CHANGES IN DATACENTER NETWORKS
Document Type and Number:
WIPO Patent Application WO/2023/198174
Kind Code:
A1
Abstract:
The present disclosure describes methods and systems for proactively managing a distributed computer network based on learned relationships between state changes and network events. During an initial identification phase, information representing state changes occurring at host nodes, and network events occurring at network nodes, is collected and processed to generate a database of event probability signatures, each event probability signature indicating a respective probability that a specified event type will occur at a specified network node given a specified type of state change at one of the hosts. During a subsequent action phase, a smart network engine can interact with software drivers installed on each host node to actively monitor for state changes, and when a state change is detected, compare the type of state change with the types of state changes specified in the plurality of event probability signatures to select a matching event probability signature. Using the selected matching event probability signature, a controller can proactively mitigate future network events.
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Inventors:
MUNIR ALI (CA)
BANIAMERIAN AMIR (CA)
BAHNASY MAHMOUD (CA)
MORTAZAVI SEYED HOSSEIN (CA)
GANJALI YASHAR (CA)
BANIAMERIAN AMIR (CA)
BAHNASY MAHMOUD (CA)
MORTAZAVI SEYED HOSSEIN (CA)
GANJALI YASHAR (CA)
Application Number:
PCT/CN2023/088297
Publication Date:
October 19, 2023
Filing Date:
April 14, 2023
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06F11/00; G06N7/00
Foreign References:
| US9400731B1 | 2016-07-26 | |||
| US8079083B1 | 2011-12-13 | |||
| US7979371B2 | 2011-07-12 | |||
| CN113962294A | 2022-01-21 |
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