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公开(公告)号:US12107737B2
公开(公告)日:2024-10-01
申请号:US17973937
申请日:2022-10-26
申请人: Dell Products L.P.
IPC分类号: G06F15/173 , H04L41/149 , H04L41/16
CPC分类号: H04L41/149 , H04L41/16
摘要: Described herein are methods and a system for that monitors the performance, and provides reporting including replacement of IoT edge devices in an edge computing network. Data is received by an AI/ML model from multiple IoT edge devices which is process in time series. Analysis services and engines determine the performance of the multiple IoT edge devices. Severity and weightage are applied to the data, and algorithms determine performance and replacement recommendations.
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公开(公告)号:US11900273B2
公开(公告)日:2024-02-13
申请号:US16944935
申请日:2020-07-31
发明人: Ravindra Guntur
IPC分类号: G06N5/04 , G06N20/20 , H04W24/08 , G06N5/01 , H04L43/08 , H04L41/142 , H04L41/149 , H04L41/12 , H04W84/12
CPC分类号: G06N5/04 , G06N5/01 , G06N20/20 , H04L41/12 , H04L41/142 , H04L41/149 , H04L43/08 , H04W24/08 , H04W84/12
摘要: Disclosed are methods and systems for determining combinations of system parameters that indicate a root cause of a system level experience deterioration (SLED). Some of the disclosed embodiments generate a decision tree from a first class of operational parameter datasets. Rules are derived from the decision tree. Filtered rule sets for feature parameters included in the system parameters are then determined. Pairs of features within a particular dataset that each satisfy their respective filtered rule sets are indicative of a root cause of the degradation, at least in some embodiments.
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公开(公告)号:US20230275918A1
公开(公告)日:2023-08-31
申请号:US18315049
申请日:2023-05-10
申请人: VMware, Inc.
发明人: Kar-Fai Tse , Chaoting Xuan , Ravish Chawla , Erich Stuntebeck , Stephen Jonathan Parry-Barwick
IPC分类号: H04L9/40 , H04L41/0604 , H04L41/0813 , H04L43/0817 , H04L41/147 , H04W12/37 , H04W12/121 , H04L41/149
CPC分类号: H04L63/1425 , H04L63/1416 , H04L63/1441 , H04L41/0627 , H04L63/20 , H04L41/0813 , H04L63/102 , H04L43/0817 , H04L41/147 , H04W12/37 , H04W12/121 , H04L41/149 , H04L43/16
摘要: Disclosed are various approaches for automating the detection and identification of anomalous devices in a management service. Device check-ins are received by a management service and housed in a data store. The quantity of device check-ins over various time periods can be analyzed using various approaches to identify anomalous devices.
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公开(公告)号:US11652832B2
公开(公告)日:2023-05-16
申请号:US16918033
申请日:2020-07-01
申请人: VMware, Inc.
发明人: Kar-Fai Tse , Chaoting Xuan , Ravish Chawla , Erich Stuntebeck , Stephen Jonathan Parry-Barwick
IPC分类号: H04L9/40 , H04L41/0604 , H04L41/0813 , H04L43/0817 , H04L41/147 , H04W12/37 , H04W12/121 , H04L41/149 , H04L43/16 , H04L43/10 , H04L43/0876 , H04L43/028
CPC分类号: H04L63/1425 , H04L41/0627 , H04L41/0813 , H04L41/147 , H04L41/149 , H04L43/0817 , H04L63/102 , H04L63/1416 , H04L63/1441 , H04L63/20 , H04W12/121 , H04W12/37 , H04L43/028 , H04L43/0876 , H04L43/10 , H04L43/16
摘要: Disclosed are various approaches for automating the detection and identification of anomalous devices in a management service. Device check-ins are received by a management service and housed in a data store. The quantity of device check-ins over various time periods can be analyzed using various approaches to identify anomalous devices.
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公开(公告)号:US11617093B1
公开(公告)日:2023-03-28
申请号:US17193950
申请日:2021-03-05
申请人: T-Mobile USA, Inc.
发明人: Daniel Artuso
IPC分类号: H04L41/142 , H04L41/149 , H04L41/16 , H04L41/5067 , H04L43/00 , H04L43/062 , H04L43/065 , H04L43/067 , H04W8/18 , H04W16/22 , H04W24/08 , H04W24/10 , H04W84/02 , H04W88/18
摘要: The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.
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公开(公告)号:US20240364589A1
公开(公告)日:2024-10-31
申请号:US18307777
申请日:2023-04-26
发明人: Vishal S Desai , Young Il Choi , Abhishek Datta
IPC分类号: H04L41/082 , H04L41/0823 , H04L41/149
CPC分类号: H04L41/082 , H04L41/0836 , H04L41/149
摘要: The disclosed technology relates to determining a period in which a non-urgent RRM update should be deferred. The method may comprise applying a first update to an existing configuration of the plurality of wireless access points in the network based on an analysis of telemetry received from the plurality of wireless access points received over a period spanning at least two busy periods. The method may further comprise applying a second update that modifies the first preferred network configuration based on an analysis of telemetry received during the first busy period. The method may further comprise applying a maintenance update to the tweaked network configuration based on telemetry received during the next busy period.
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公开(公告)号:US12034606B2
公开(公告)日:2024-07-09
申请号:US17619093
申请日:2020-06-09
申请人: Elisa Oyj
发明人: Henri Karikallio
IPC分类号: H04L41/149
CPC分类号: H04L41/149
摘要: A computer implemented method of setting maintenance priority for a set of network devices of communication network. The set of network devices are arranged in an ordered list based on at least one of: customer information and usage information; and maintenance priority classes are dynamically set for the network devices based on the ordered list, wherein there are at least two different maintenance priority classes.
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公开(公告)号:US20240195874A1
公开(公告)日:2024-06-13
申请号:US18063612
申请日:2022-12-08
发明人: Gang DING , Avinash SHRIVASTAVA , Robert Thomas FRANZO , Harleen GILL , Brian MOMEYER , Bala RAMASAMY , Edwin Chongwoo PARK
IPC分类号: H04L67/12 , H04L41/149
CPC分类号: H04L67/12 , H04L41/149
摘要: Systems and techniques are described herein for network organization. For instance, a process can include receiving, from a second sensing apparatus of the self-organizing network, an indication of a first task. The process can further include retrieving a first power profile associated with the first task, determining a current battery level of the at least one battery, predicting a future battery level of the at least one battery based on the current battery level, and the first power profile associated with the first task, and transmitting, to another sensing apparatus, the predicted future battery level.
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公开(公告)号:US11968107B2
公开(公告)日:2024-04-23
申请号:US18027762
申请日:2021-08-26
IPC分类号: H04L43/0852 , H04L41/147 , H04L41/149
CPC分类号: H04L43/0852 , H04L41/147 , H04L41/149
摘要: A method for determining a correctness of an actually received timestamp is provided. A communication network includes a master clock, a first ECU having a first slave clock, a validator having a second slave clock, and a first communication bus. The first ECU uses a first communication standard having a deterministic scheme. The method includes synchronizing, at the first ECU, a time of the first slave clock to a global time of the master clock, synchronizing, at the validator, a time of the second slave clock to the global time of the master clock, predicting, at the validator, a timestamp to be received in an actual communication cycle from the first ECU based on the deterministic scheme of the communication standard used by the first ECU, and comparing, at the validator, the predicted timestamp with the actually received timestamp from the first ECU.
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公开(公告)号:US20240121636A1
公开(公告)日:2024-04-11
申请号:US17957915
申请日:2022-09-30
发明人: Jia Wang , Amit Kumar Sheoran , Xiaofeng Shi , Chen Qian , Matthew Osinski
IPC分类号: H04W24/04 , H04L41/149 , H04L41/16 , H04W24/08
CPC分类号: H04W24/04 , H04L41/149 , H04L41/16 , H04W24/08
摘要: Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.
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