公开(公告)号：US10985979B2

公开(公告)日：2021-04-20

申请号：US16538978

申请日：2019-08-13

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  Ravi Sharma ,  Anil K Guntupalli

IPC: G06F15/173 ,  H04L12/24 ,  H04L12/911 ,  H04L12/26 ,  G06N20/00

Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based resource management service is provided. A network device obtains network and end device information, and uses machine learning to determine whether to adjust an auto-scaling rule pertaining to the provisioning of an application service. The network device generates a modified auto-scaling rule based on the analysis.

公开(公告)号：US11671484B2

公开(公告)日：2023-06-06

申请号：US17032727

申请日：2020-09-25

Applicant: Verizon Patent and Licensing Inc.

Inventor： Kirk Campbell ,  John Patrick Hickey, III ,  Anil K Guntupalli ,  Art Zaifman ,  Jayashree Srinivasan Kilkovalavedu ,  Raghuram Parvataneni

IPC: H04L67/101 ,  H04L67/1008 ,  H04L67/52

CPC classification number: H04L67/101 ,  H04L67/1008 ,  H04L67/52

Abstract: An illustrative latency service system identifies, in response to a request by a user equipment (UE) device for performance of a distributed computing service, a latency performance level to which the UE device is subscribed. The system obtains real-time latency performance data for a distributed computing network that is to perform the distributed computing service for the UE device in response to the request, and, based on the real-time latency performance data, determines a characteristic of a geographic zone in which the UE device is located. The characteristic is associated with latency performance that the distributed computing network is capable of providing in the geographic zone. Based on the latency performance level and the characteristic of the geographic zone, the system arranges for the performance of the distributed computing service for the UE device by the distributed computing network. Corresponding methods and systems are also disclosed.

公开(公告)号：US11218563B1

公开(公告)日：2022-01-04

申请号：US16996685

申请日：2020-08-18

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  John Patrick Hickey, III ,  Anil K Guntupalli

IPC: G06F15/16 ,  H04L29/08 ,  H04L29/06 ,  H04W8/26 ,  H04W64/00

Abstract: An illustrative multi-access server orchestration system obtains, by way of a communication network, a service request for a client device. The service request indicates a client identity of the client device and represents a request for orchestration of service to be provided to the client device by a multi-access server of a set of multi-access servers associated with the communication network. In response to the service request and based on the client identity, the orchestration system identifies a network anchor point through which network traffic on the communication network is routed to the client device. The orchestration system also determines a subset of the set of multi-access servers. The subset may correspond to a service area of the identified network anchor point and may include one or more multi-access servers capable of fulfilling the service request for the client device. Corresponding methods and systems are also disclosed.

公开(公告)号：US11296938B2

公开(公告)日：2022-04-05

申请号：US17207864

申请日：2021-03-22

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  Ravi Sharma ,  Anil K Guntupalli

IPC: G06F15/173 ,  H04L41/0806 ,  H04L47/74 ,  H04L47/78 ,  H04L43/16 ,  H04L41/16 ,  G06N20/00 ,  H04L41/5041 ,  H04L43/0876

Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based resource management service is provided. A network device obtains network and end device information, and uses machine learning to determine whether to adjust an auto-scaling rule pertaining to the provisioning of an application service. The network device generates a modified auto-scaling rule based on the analysis.

公开(公告)号：US20220086249A1

公开(公告)日：2022-03-17

申请号：US17538413

申请日：2021-11-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  John Patrick Hickey, III ,  Anil K Guntupalli

IPC: H04L29/08 ,  H04L29/06 ,  H04W64/00 ,  H04W8/26

Abstract: An illustrative multi-access server orchestration system determines a subset of a set of multi-access servers associated with a communication network. The subset corresponds to a service area of a network anchor point through which network traffic on the communication network is routed to a client device. The multi-access server orchestration system orders the multi-access servers included within the subset to form an ordered listing of multi-access servers from a most-preferred to a least-preferred multi-access server for fulfilling a service request for the client device. The ordered listing designates a first multi-access server included in the subset and located more proximate to the network anchor point than to the client device to be more highly preferred for fulfilling the service request than a second multi-access server included in the subset and located more proximate to the client device than to the network anchor point. Corresponding methods and systems are also disclosed.

公开(公告)号：US11622013B2

公开(公告)日：2023-04-04

申请号：US17538413

申请日：2021-11-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  John Patrick Hickey, III ,  Anil K Guntupalli

IPC: G06F15/16 ,  H04L67/288 ,  H04W8/26 ,  H04W64/00 ,  H04L67/289 ,  H04L67/01

Abstract: An illustrative multi-access server orchestration system determines a subset of a set of multi-access servers associated with a communication network. The subset corresponds to a service area of a network anchor point through which network traffic on the communication network is routed to a client device. The multi-access server orchestration system orders the multi-access servers included within the subset to form an ordered listing of multi-access servers from a most-preferred to a least-preferred multi-access server for fulfilling a service request for the client device. The ordered listing designates a first multi-access server included in the subset and located more proximate to the network anchor point than to the client device to be more highly preferred for fulfilling the service request than a second multi-access server included in the subset and located more proximate to the client device than to the network anchor point. Corresponding methods and systems are also disclosed.

公开(公告)号：US20210211352A1

公开(公告)日：2021-07-08

申请号：US17207864

申请日：2021-03-22

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  Ravi Sharma ,  Anil K Guntupalli

IPC: H04L12/24 ,  H04L12/911 ,  H04L12/26 ,  G06N20/00

Abstract: A method, a device, and a non-transitory storage medium are described in which a machine learning-based resource management service is provided. A network device obtains network and end device information, and uses machine learning to determine whether to adjust an auto-scaling rule pertaining to the provisioning of an application service. The network device generates a modified auto-scaling rule based on the analysis.