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公开(公告)号:US11647074B2
公开(公告)日:2023-05-09
申请号:US16996659
申请日:2020-08-18
Applicant: Verizon Patent and Licensing Inc.
Inventor: Kirk Campbell , Ravi Sharma , Raghuram Parvataneni
IPC: H04L67/101 , H04L47/20 , H04L67/1021 , H04W24/02
CPC classification number: H04L67/101 , H04L47/20 , H04L67/1021 , H04W24/02
Abstract: An exemplary edge compute orchestration system that is communicatively coupled with a set of edge compute nodes in a communication network accesses performance data aggregated by a particular edge compute node of the set. The performance data includes a performance metric and geolocation data detected by a user equipment (UE) device communicatively coupled to the communication network. The edge compute orchestration system integrates the performance data into a geolocation-indexed performance dataset representative of detected performance metrics, indexed by geolocation, for the communication network. Then, based on the geolocation-indexed performance dataset, the edge compute orchestration system selects the particular edge compute node for performance of an edge compute task. Corresponding systems and methods are also disclosed.
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2.
公开(公告)号:US20220393956A1
公开(公告)日:2022-12-08
申请号:US17339648
申请日:2021-06-04
Applicant: Verizon Patent and Licensing Inc.
Inventor: Sivanaga Ravi Kumar Chunduru Venkata , Kirk Campbell
Abstract: A device may include a processor configured to determine a plurality of requirements for a Multi-Access Edge Computing (MEC) application requested by a customer; select a solution blueprint for the MEC application, from a set of solution blueprints, based on the determined plurality of requirements, wherein the solution blueprint includes an application deployment blueprint and a connectivity blueprint; and receive approval of the selected solution blueprint from the customer. The processor may be further configured to configure at least one transport network device based on the connectivity blueprint, in response to receiving the approval of the selected solution blueprint from the customer; and deploy at least one component of the MEC application on a MEC device in a MEC network based on the application deployment blueprint, in response to receiving the approval of the selected solution blueprint from the customer.
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公开(公告)号:US11509527B1
公开(公告)日:2022-11-22
申请号:US17315514
申请日:2021-05-10
Applicant: Verizon Patent and Licensing Inc.
Inventor: Sivanaga Ravi Kumar Chunduru Venkata , Kirk Campbell , Ajaykumar Kalla , Manish Srivastava
IPC: H04L41/0813 , H04L41/0873 , H04L67/51
Abstract: Systems and methods described herein provide an assisted network change service. A network device stores a record of network resources for a customer network and generates, based on the record, a visual representation of the network topology for a selected site of the customer network. The network device receives, from the customer, input for a change to configuration parameters of one of the network resources and verifies if the change to the configuration parameters is compatible with other settings in the customer network. When the change to the configuration parameters is compatible with other settings in the customer network, the network device generates a change request based on the configuration parameters and invokes provisioning to implement the change request for the customer network.
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公开(公告)号:US20220329995A1
公开(公告)日:2022-10-13
申请号:US17224393
申请日:2021-04-07
Applicant: Verizon Patent and Licensing Inc.
Inventor: Sivanaga Ravi Kumar Chunduru Venkata , Kirk Campbell
Abstract: A method, a device, and a non-transitory storage medium are described in which an application layer network management service is provided. The service may allow third parties associated with an application layer network to develop and on-board application-aware logic that manages application services. The application-aware logic may include optimization of the application service and remedial procedures that address events associated with degradation and/or performance of the application service. The application-aware logic may be implemented in conjunction with other logic provisioned by a network provider.
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公开(公告)号:US20220303334A1
公开(公告)日:2022-09-22
申请号:US17832015
申请日:2022-06-03
Applicant: Verizon Patent and Licensing Inc.
Inventor: Art Zaifman , Kirk Campbell , Raghuram Parvataneni
IPC: 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.
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6.
公开(公告)号:US11121917B1
公开(公告)日:2021-09-14
申请号:US16914779
申请日:2020-06-29
Applicant: Verizon Patent and Licensing Inc.
Inventor: Patricia R. Chang , Fred Weisbrod , John Patrick Hickey, III , Anil K. Guntupalli , Kirk Campbell
IPC: H04L12/24 , H04L12/911 , H04L12/26 , H04L29/08
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.
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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.
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8.
公开(公告)号:US12040957B2
公开(公告)日:2024-07-16
申请号:US18327560
申请日:2023-06-01
Applicant: Verizon Patent and Licensing Inc.
Inventor: Sivanaga Ravi Kumar Chunduru Venkata , Kirk Campbell
IPC: H04L41/0806 , H04L41/5009 , H04L41/5041 , H04L41/5054 , H04W4/50 , H04W40/24 , H04L41/16
CPC classification number: H04L41/5045 , H04L41/5054 , H04W4/50 , H04W40/246 , H04L41/16
Abstract: A device may include a processor configured to determine a plurality of requirements for a Multi-Access Edge Computing (MEC) application requested by a customer; select a solution blueprint for the MEC application, from a set of solution blueprints, based on the determined plurality of requirements, wherein the solution blueprint includes an application deployment blueprint and a connectivity blueprint; and receive approval of the selected solution blueprint from the customer. The processor may be further configured to configure at least one transport network device based on the connectivity blueprint, in response to receiving the approval of the selected solution blueprint from the customer; and deploy at least one component of the MEC application on a MEC device in a MEC network based on the application deployment blueprint, in response to receiving the approval of the selected solution blueprint from the customer.
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公开(公告)号:US11825319B2
公开(公告)日:2023-11-21
申请号:US16686802
申请日:2019-11-18
Applicant: Verizon Patent and Licensing Inc.
Inventor: Raghuram Parvataneni , Kirk Campbell , Anil K. Guntupalli , Ravi Sharma
IPC: H04W24/06 , H04L41/0803 , H04L43/16 , H04L43/065 , H04L43/045 , H04L43/50
CPC classification number: H04W24/06 , H04L41/0803 , H04L43/045 , H04L43/065 , H04L43/16 , H04L43/50
Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to provide a test configuration to a plurality of multi-access edge computing (MEC) devices; collect test results associated with the provided test configuration from the plurality of MEC devices; and obtain capability information associated with particular ones of the plurality of MEC devices. The computer device may be further configured to generate a test report that relates one or more parameters included in the test results and the obtained capability information to particular ones of the plurality of MEC devices; and use the generated test report to select a MEC device from the plurality of MEC devices for a user equipment (UE) device requesting an application session.
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10.
公开(公告)号:US20230308367A1
公开(公告)日:2023-09-28
申请号:US18327560
申请日:2023-06-01
Applicant: Verizon Patent and Licensing Inc.
Inventor: Sivanaga Ravi Kumar Chunduru Venkata , Kirk Campbell
IPC: H04L41/5041 , H04L41/5054 , H04W4/50 , H04W40/24
CPC classification number: H04L41/5045 , H04L41/5054 , H04W4/50 , H04W40/246 , H04L41/16
Abstract: A device may include a processor configured to determine a plurality of requirements for a Multi-Access Edge Computing (MEC) application requested by a customer; select a solution blueprint for the MEC application, from a set of solution blueprints, based on the determined plurality of requirements, wherein the solution blueprint includes an application deployment blueprint and a connectivity blueprint; and receive approval of the selected solution blueprint from the customer. The processor may be further configured to configure at least one transport network device based on the connectivity blueprint, in response to receiving the approval of the selected solution blueprint from the customer; and deploy at least one component of the MEC application on a MEC device in a MEC network based on the application deployment blueprint, in response to receiving the approval of the selected solution blueprint from the customer.
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