公开(公告)号：US20160098419A1

公开(公告)日：2016-04-07

申请号：US14958134

申请日：2015-12-03

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  David C. White, JR. ,  Christopher Blayne Dreier

IPC: G06F17/30

CPC classification number: G06F11/079 ,  G06F11/07 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0775 ,  G06F11/0787 ,  G06F11/366 ,  G06F17/2241 ,  G06F17/30144 ,  G06F17/30327 ,  G06F17/30477 ,  G06F17/30961 ,  H04L41/0636 ,  H04L41/069 ,  H04L41/22 ,  H04L45/00

Abstract: Systems and methods are described herein for logging system events within an electronic machine using an event log structured as a collection of tree-like cause and effect graphs. An event to be logged may be received. A new event node may be created within the event log for the received event. One or more existing event nodes within the event log may be identified as having possibly caused the received event. One or more causal links may be created within the event log between the new event node and the one or more identified existing event nodes. The new event node may be stored as an unattached root node in response to not identifying an existing event node that may have caused the received event.

Abstract translation: 本文描述了系统和方法，用于使用结构化为树状原因和效果图的集合的事件日志记录电子机器内的系统事件。 可能会收到要记录的事件。 可以在事件日志中为接收的事件创建一个新的事件节点。 事件日志中的一个或多个现有事件节点可能被识别为可能导致所接收的事件。 可以在新事件节点和一个或多个已识别的现有事件节点之间的事件日志内创建一个或多个因果链接。 响应于不识别可能已经导致接收到的事件的现有事件节点，新事件节点可以被存储为未附着的根节点。

公开(公告)号：US20240422069A1

公开(公告)日：2024-12-19

申请号：US18334735

申请日：2023-06-14

Applicant: Cisco Technology, Inc.

Inventor： Pengfei Sun ,  Qihong Shao ,  David C. White, JR.

IPC: H04L41/14 ,  H04L41/12 ,  H04L41/16

Abstract: A heterogeneous graph learning system generates and analyzes network implementations. The heterogeneous graph learning system includes obtaining information describing multiple network implementations including heterogeneous nodes. The heterogeneous graph learning system also includes generating a one-hop graph connecting a particular node of the heterogeneous nodes with a set of related nodes. The one-hop graph connects the particular node with the set of related nodes via corresponding edges. The heterogeneous graph learning system further includes transforming the one-hop graph into a weighted graph based on a Dynamic Meta Path Transformation (DMPT). In the DMPT, each of the corresponding edges connecting the particular node to a corresponding related node among the set of related nodes is associated with a corresponding weight.

公开(公告)号：US20240232906A9

公开(公告)日：2024-07-11

申请号：US18497103

申请日：2023-10-30

Applicant: Cisco Technology, Inc.

Inventor： David C. White, JR. ,  Jay K. Johnston ,  Magnus Mortensen ,  Christopher Shaun Roberts ,  Kevin D. McCabe

IPC: G06Q30/016 ,  G06Q10/0639 ,  H04L51/02

CPC classification number: G06Q30/016 ,  G06Q10/06395 ,  H04L51/02 ,  G06Q10/103

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

公开(公告)号：US20240195676A1

公开(公告)日：2024-06-13

申请号：US18402963

申请日：2024-01-03

Applicant: Cisco Technology, Inc.

Inventor： Chidambaram Arunachalam ,  David C. White, JR. ,  Magnus Mortensen

IPC: H04L41/0631 ,  H04L65/1046 ,  H04L65/1104

CPC classification number: H04L41/0631 ,  H04L65/1046 ,  H04L65/1104

Abstract: Presented herein are techniques to perform call failure diagnostics. A method includes receiving, at a network device, an indication of calls-of-interest, detecting, at the network device, a failure of one of the calls-of-interest, triggering, in response to the detecting, at the network device, diagnostics data analysis of data associated with the failure of one of the calls-of-interest, determining, based on the diagnostics data analysis, a cause of the failure of the one of the calls-of-interest, and notifying, by the network device, a management system of the cause of the failure of the one of the calls-of-interest and of recent configuration changes on the network device that are related to the cause of the failure of the one of the calls-of-interest.

公开(公告)号：US20240144150A1

公开(公告)日：2024-05-02

申请号：US17975192

申请日：2022-10-27

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  David C. White, JR. ,  Jeffrey Dominick Jackson ,  Magnus Mortensen ,  Matthew R. Engle ,  Ryan Alan MacLennan

IPC: G06Q10/0639 ,  G06F16/28

CPC classification number: G06Q10/06398 ,  G06F16/285

Abstract: A management server measures network activity of user devices to determine activities of the users associated with each user device. The management server generates digital model personas corresponding to the users based on one or more activities of the user. The management server clusters the digital model personas to generate user groups based on similar activities, and compares a first digital model persona from a first user with at least one second digital model persona.

公开(公告)号：US20240095461A1

公开(公告)日：2024-03-21

申请号：US18522734

申请日：2023-11-29

Applicant: Cisco Technology, Inc.

Inventor： David C. White, JR. ,  Christopher Shaun Roberts ,  Magnus Mortensen ,  Jay Kemper Johnston

IPC: G06F40/35 ,  H04L51/02

CPC classification number: G06F40/35 ,  H04L51/02

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid process software,” can be configured to participate in multi-parry conversations. The humanoid can monitor electronic communications in a conversation involving the humanoid and at least one other party. The humanoid can model the electronic communications by uniquely identifying each of the electronic communications as a stream of data. For example, the data can be labeled and sorted in a database and/or arranged in a nodal graph representation. The humanoid can participate in the conversation based on the modeling.

公开(公告)号：US20240022496A1

公开(公告)日：2024-01-18

申请号：US17863710

申请日：2022-07-13

Applicant: Cisco Technology, Inc.

Inventor： Pamela Krishnamachary ,  Swati Garg ,  Anzhela Hillebrand ,  Charles Lee ,  David C. White, JR.

IPC: H04L45/02 ,  H04L43/0876

CPC classification number: H04L45/02 ,  H04L43/0876

Abstract: A method includes obtaining, from a plurality of first devices in a first time zone, data associated with hot-prefixes requested at one or more first devices of the plurality of first devices during a first time interval. The hot-prefixes are associated with network addresses that are frequently requested during the first time interval. The method further includes predicting, based on the data associated with the hot-prefixes, prefixes that will become hot-prefixes during a second time interval in a second time zone to determine predicted hot-prefixes, and transmitting an indication of the predicted hot-prefixes to a plurality of second devices configured to provide networking services in the second time zone prior to a start of the second time interval in the second time zone.

公开(公告)号：US20230289255A1

公开(公告)日：2023-09-14

申请号：US18126777

申请日：2023-03-27

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  David C. White, JR. ,  Christopher Blayne Dreier

IPC: G06F11/07 ,  G06F16/17 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/901 ,  H04L41/069 ,  H04L41/0631 ,  G06F11/36 ,  G06F40/137 ,  H04L45/00

CPC classification number: G06F11/079 ,  G06F16/1734 ,  G06F16/2246 ,  G06F16/2455 ,  G06F16/9027 ,  H04L41/069 ,  H04L41/0636 ,  G06F11/366 ,  G06F40/137 ,  H04L45/00 ,  G06F11/07 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0775 ,  G06F11/0787 ,  H04L41/22

Abstract: Systems and methods are described herein for logging system events within an electronic machine using an event log structured as a collection of tree-like cause and effect graphs. An event to be logged may be received. A new event node may be created within the event log for the received event. One or more existing event nodes within the event log may be identified as having possibly caused the received event. One or more causal links may be created within the event log between the new event node and the one or more identified existing event nodes. The new event node may be stored as an unattached root node in response to not identifying an existing event node that may have caused the received event.

公开(公告)号：US20230101945A1

公开(公告)日：2023-03-30

申请号：US17490344

申请日：2021-09-30

Applicant: Cisco Technology, Inc.

Inventor： Allison Renner Walton ,  Ana Andrijic ,  Jazzmine Marie White ,  David C. White, JR.

IPC: G06F21/62

Abstract: Techniques are provided herein for remediating storage of sensitive data on a hardware device. In one example, a request to remediate storage of sensitive data on a hardware device is obtained. In response to the request, a database is automatically searched. The database correlates the hardware device with an indication of how to remediate the storage of the sensitive data on the hardware device. Based on the database, the storage of the sensitive data on the hardware device is remediated.

公开(公告)号：US20220374844A1

公开(公告)日：2022-11-24

申请号：US17324562

申请日：2021-05-19

Applicant: Cisco Technology, Inc.

Inventor： Jay Kemper Johnston ,  David C. White, JR. ,  Magnus Mortensen

IPC: G06Q10/10 ,  G06F16/9035 ,  G06F16/9038

Abstract: A meeting system facilitates spontaneous social encounter between users with a meeting server. The meeting server obtains calendar data and user preferences associated with each user of a plurality of users. The meeting server also prompts a first user device associated with a first user, and a second user device associated with a second user, for a social encounter based on the calendar data and the user preferences. Responsive to obtaining acceptances from the first user and the second user, the meeting server facilitates the social encounter between the first user and the second user.