公开(公告)号：US11265369B2

公开(公告)日：2022-03-01

申请号：US16398565

申请日：2019-04-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Kirk Campbell ,  Ravi Sharma ,  Raghuram Parvataneni

IPC: H04L29/08 ,  H04W8/22 ,  G06F9/50 ,  H04L67/1008 ,  H04L67/1029

Abstract: An exemplary edge compute orchestration system that is communicatively coupled with a set of edge compute nodes in a communication network receives a task assignment request generated by a user equipment (“UE”) device coupled to the network. The request is associated with an edge compute task that is to be performed in furtherance of an application executing on the UE device. The system also accesses node characterization data for the set of nodes and manages a node selection policy configured to facilitate a balancing of node performance and node efficiency when assigning edge computing tasks to different nodes in the set. The system selects a node for performance of the edge compute task from the set of nodes in response to the request, based on the node characterization data, and in accordance with the selection policy. The system assigns the edge compute task to be performed by the selected node.

公开(公告)号：US20200351336A1

公开(公告)日：2020-11-05

申请号：US16398565

申请日：2019-04-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Kirk Campbell ,  Ravi Sharma ,  Raghuram Parvataneni

IPC: H04L29/08 ,  G06F9/50 ,  H04W8/22

Abstract: An exemplary edge compute orchestration system that is communicatively coupled with a set of edge compute nodes in a communication network receives a task assignment request generated by a user equipment (“UE”) device coupled to the network. The request is associated with an edge compute task that is to be performed in furtherance of an application executing on the UE device. The system also accesses node characterization data for the set of nodes and manages a node selection policy configured to facilitate a balancing of node performance and node efficiency when assigning edge computing tasks to different nodes in the set. The system selects a node for performance of the edge compute task from the set of nodes in response to the request, based on the node characterization data, and in accordance with the selection policy. The system assigns the edge compute task to be performed by the selected node.

公开(公告)号：US10778755B1

公开(公告)日：2020-09-15

申请号：US16398578

申请日：2019-04-30

Applicant: Verizon Patent and Licensing Inc.

Inventor： Kirk Campbell ,  Ravi Sharma ,  Raghuram Parvataneni

IPC: H04L29/08 ,  H04L12/813 ,  H04W24/02

Abstract: An exemplary edge compute orchestration system that is communicatively coupled with a set of edge compute nodes in a communication network receives a performance test assignment request generated by a user equipment (“UE”) device coupled to the network. In response, the system assigns the UE device to perform a performance test to detect a performance metric for a particular edge compute node selected from the set of edge compute nodes. Subsequently, the system accesses performance data including the performance metric and geolocation data corresponding to the performance metric and representative of a geolocation of the UE device during the performance of the performance test. The system integrates the performance data into a geolocation-indexed performance dataset representative of detected performance metrics, indexed by geolocation for the communication network. Corresponding systems and methods are also disclosed.

公开(公告)号：US11632421B2

公开(公告)日：2023-04-18

申请号：US17832015

申请日：2022-06-03

Applicant: Verizon Patent and Licensing Inc.

Inventor： Art Zaifman ,  Kirk Campbell ,  Raghuram Parvataneni

IPC: G06F15/16 ,  H04L67/10 ,  G06F9/448 ,  H04L67/289

Abstract: A device receives, from a first compute instance, a Remote Latency Call, that includes a target latency measure, a function, and one or more arguments for the function. The device clusters a plurality of compute instances into multiple clusters of compute instances based on a respective latency measure associated with each compute instance of the plurality of compute instances, and determines a first cluster of compute instances from the multiple clusters of compute instances that satisfies the target latency measure. The device causes a second compute instance within the first cluster of compute instances to execute the function, using the one or more arguments, and return one or more results.

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：US11595251B2

公开(公告)日：2023-02-28

申请号：US17399116

申请日：2021-08-11

Applicant: Verizon Patent and Licensing Inc.

Inventor： Patricia R. Chang ,  Fred Weisbrod ,  John Patrick Hickey, III ,  Anil K. Guntupalli ,  Kirk Campbell

IPC: H04L41/0806 ,  H04L41/50 ,  H04L43/0805 ,  H04L41/5054 ,  H04L47/78 ,  H04L41/0894 ,  H04L41/0895 ,  H04L41/0897 ,  H04L41/0893 ,  H04L47/70 ,  H04L43/08 ,  H04L67/10 ,  H04L41/12

Abstract: A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.

公开(公告)号：US11576231B2

公开(公告)日：2023-02-07

申请号：US16907638

申请日：2020-06-22

Applicant: Verizon Patent and Licensing Inc.

Inventor： Maqbool Chauhan ,  Kirk Campbell ,  Parry Cornell Booker ,  Chad Allenbrand ,  Jerry Steben ,  David Taft ,  Edward G. Leyton ,  Anthony Mathias George ,  Anthony Sirignano ,  Eric Handley

IPC: H04W88/16 ,  H04L61/256 ,  H04L12/46 ,  H04W76/12

Abstract: A packet destined for a Multi-access Edge Computing (MEC) network is received at a wireless station from a user device. A serving gateway (SGW) receives the packet from the wireless station via an S1U GTP tunnel and assigns an uplink S1U General Packet Radio Service (GPRS) Tunneling Protocol (GTP) tunnel endpoint identifier (TEID) to the packet. The SGW performs a network address translation (NAT) function on the packet based on the uplink S1U GTP TEID assigned to the packet to form a translated packet. The SGW transmits the translated packet to the MEC network.

公开(公告)号：US11469954B2

公开(公告)日：2022-10-11

申请号：US16414441

申请日：2019-05-16

Applicant: Verizon Patent and Licensing Inc.

Inventor： Raghuram Parvataneni ,  Kirk Campbell ,  Ravi Sharma

IPC: H04L12/24 ,  H04L12/26 ,  H04L41/0893 ,  H04L41/16 ,  H04L41/5025 ,  H04L41/14 ,  H04L43/0852

Abstract: Systems and methods provide a MEC policy optimization service. A network device applies, in a first edge cluster of the application service layer network, a policy for an application service that supports a customer application; receives network performance data related to execution of the application service; identifies, based on the network performance data, an improved policy to optimize the first policy for the customer application in the first edge cluster; and sends a model of the improved policy to a central network device for the application service layer network.

公开(公告)号：US20220103617A1

公开(公告)日：2022-03-31

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: H04L29/08

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：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.