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公开(公告)号:US12254361B2
公开(公告)日:2025-03-18
申请号:US18541245
申请日:2023-12-15
Applicant: Intel Corporation
Inventor: Marcos Carranza , Cesar Martinez-Spessot , Mateo Guzman , Francesc Guim Bernat , Karthik Kumar , Rajesh Poornachandran , Kshitij Arun Doshi
IPC: G06F9/54 , H04L67/133
Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic Application Programming Interface (API) contract generation and conversion. In an example, a first sidecar of a source microservice intercepts a first call to a first API exposed by a destination microservice. The first call makes use of a first API technology specified by a first contract and is originated by the source microservice. An API technology is selected from multiple API technologies. The selected API technology is determined to be different than the first API technology. Based on the first contract, a second contract is dynamically generated that specifies an intermediate API that makes use of the selected API technology. A second sidecar of the destination microservice is caused to generate the intermediate API and connect the intermediate API to the first API.
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公开(公告)号:US12244507B2
公开(公告)日:2025-03-04
申请号:US17033140
申请日:2020-09-25
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Ned M. Smith , Kshitij Arun Doshi , Suraj Prabhakaran , Timothy Verrall , Kapil Sood , Tarun Viswanathan
Abstract: Systems and techniques for intelligent data forwarding in edge networks are described herein. A request may be received from an edge user device for a service via a first endpoint. A time value may be calculated using a timestamp of the request. Motion characteristics may be determined for the edge user device using the time value. A response to the request may be transmitted to a second endpoint based on the motion characteristics.
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公开(公告)号:US20250061332A1
公开(公告)日:2025-02-20
申请号:US18938008
申请日:2024-11-05
Applicant: Intel Corporation
Inventor: Glen Anderson , Rajesh Poornachandran , Kshitij Arun Doshi
IPC: G06N3/08 , G06F16/901 , G06F16/906 , G06F18/21 , G06F18/214 , G06F18/40 , G06N5/04 , G06N20/00 , G06V10/776 , G06V10/778
Abstract: A mechanism is described for facilitating misuse index for explainable artificial intelligence in computing environments, according to one embodiment. A method of embodiments, as described herein, includes mapping training data with inference uses in a machine learning environment, where the training data is used for training a machine learning model. The method may further include detecting, based on one or more policy/parameter thresholds, one or more discrepancies between the training data and the inference uses, classifying the one or more discrepancies as one or more misuses, and creating a misuse index listing the one or more misuses.
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74.
公开(公告)号:US12166626B2
公开(公告)日:2024-12-10
申请号:US17033324
申请日:2020-09-25
Applicant: Intel Corporation
Inventor: Kshitij Arun Doshi , Ned M. Smith , Francesc Guim Bernat
IPC: H04L41/0806 , H04L41/0826 , H04L41/083 , H04L41/0895 , H04L41/122 , H04L41/342 , H04L41/40 , H04L41/5019 , H04L45/036
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for workload placement in an edge environment. An example apparatus for workload placement in an edge environment includes an orchestrator to receive a request to execute a workload from an edge platform within an edge environment, and a capability controller to analyze the request to determine operating parameters for the workload from the edge platform, and analyze candidate edge tier and edge platform placements based on the operating parameters, the orchestrator to determine a candidate edge tier and edge platform placement for the workload based on a candidate edge tier and edge platform placement that satisfies the operating parameters.
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公开(公告)号:US12155539B2
公开(公告)日:2024-11-26
申请号:US17028728
申请日:2020-09-22
Applicant: Intel Corporation
Inventor: Ned M. Smith , Kshitij Arun Doshi , Francesc Guim Bernat
IPC: H04L41/5009 , G06F9/455 , H04L9/00 , H04L9/06 , H04L41/16
Abstract: Methods, systems, and use cases for orchestrator execution planning using a distributed ledger are discussed, including an orchestration system with memory and at least one processing circuitry coupled to the memory. The processing circuitry is configured to perform operations to generate an execution plan for a workload based on an SLA. The execution plan includes state transitions associated with corresponding edge service instances. A distributed ledger record is retrieved from the ledger based on a reinforcement learning reward value specified by the record. The reward value is associated with a state transition of the plurality of state transitions. An edge node is selected based on the retrieved distributed ledger record. Execution of an edge service instance of the plurality of edge service instances by the edge node is scheduled. The execution of the edge service instance corresponds to the state transition associated with the reinforcement learning reward value.
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公开(公告)号:US20240235959A1
公开(公告)日:2024-07-11
申请号:US18288972
申请日:2021-12-24
Applicant: Intel Corporation
Inventor: John Joseph Browne , Francesc Guim Bernat , Kshitij Arun Doshi , Adrian Hoban , David Cremins , Thijs Metsch , Susanne M. Balle , Christopher MacNamara , Przemyslaw Perycz , Emma Cecilia Collins , Timothy Verrall
IPC: H04L41/5003
CPC classification number: H04L41/5003
Abstract: Various systems and methods for autonomously monitoring intent-driven end-to-end (E2E) orchestration are described herein. An orchestration system is configured to: receive, at the orchestration system, an intent-based service level objective (SLO) for execution of a plurality of tasks; generate a common context that relates the SLO to the execution of the plurality of tasks; select a plurality of monitors to monitor the execution of the plurality of tasks, the plurality of monitors to log a plurality of key performance indicators; generate a domain context for the plurality of tasks; configure an analytics system with the plurality of monitors and the plurality of key performance indicators correlated by the domain contexts; deploy the plurality of monitors to collect telemetry; monitor the execution of the plurality of tasks using the telemetry from the plurality of monitors; and perform a responsive action based on the telemetry.
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公开(公告)号:US12026074B2
公开(公告)日:2024-07-02
申请号:US17028844
申请日:2020-09-22
Applicant: Intel Corporation
Inventor: Francesc Guim Bernat , Kshitij Arun Doshi , Ned M. Smith
IPC: G06F9/445 , G06F11/263
CPC classification number: G06F11/263 , G06F9/44505
Abstract: Various aspects of methods, systems, and use cases for testing, integration, and deployment of failure conditions in an edge computing environment is provided through use of perturbations. In an example, operations to implement controlled perturbations in an edge computing platform include: identifying at least one perturbation parameter available to be implemented with a hardware components of an edge computing system that provides a service using the hardware components; determining values, which disrupt operation of the service, to implement the perturbation parameter among the hardware components; deploying the perturbation parameters to the hardware components, during operation of the service to process a computing workload, to cause perturbation effects on the service; collecting telemetry values associated with the hardware components, produced during operation of the service that indicate the perturbation effects upon the operation of the service; and cause a computing operation to occur based on the collected telemetry values.
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78.
公开(公告)号:US20240111615A1
公开(公告)日:2024-04-04
申请号:US18541245
申请日:2023-12-15
Applicant: Intel Corporation
Inventor: Marcos Carranza , Cesar Martinez-Spessot , Mateo Guzman , Francesc Guim Bernat , Karthik Kumar , Rajesh Poornachandran , Kshitij Arun Doshi
IPC: G06F9/54 , H04L67/133
CPC classification number: G06F9/547 , H04L67/133
Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic API contract generation and conversion. In an example, a first sidecar of a source microservice intercepts a first call to a first API exposed by a destination microservice. The first call makes use of a first API technology specified by a first contract and is originated by the source microservice. An API technology is selected from multiple API technologies. The selected API technology is determined to be different than the first API technology. Based on the first contract, a second contract is dynamically generated that specifies an intermediate API that makes use of the selected API technology. A second sidecar of the destination microservice is caused to generate the intermediate API and connect the intermediate API to the first API.
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公开(公告)号:US11943207B2
公开(公告)日:2024-03-26
申请号:US17032391
申请日:2020-09-25
Applicant: Intel Corporation
Inventor: Kshitij Arun Doshi , Uzair Qureshi , Lokpraveen Mosur , Patrick Fleming , Stephen Doyle , Brian Andrew Keating , Ned M. Smith
CPC classification number: H04L63/0435 , G06F13/28 , G06F21/602 , H04L63/166
Abstract: Methods, systems, and use cases for one-touch inline cryptographic data security are discussed, including an edge computing device with a network communications circuitry (NCC), an enhanced DMA engine coupled to a memory device and including a cryptographic engine, and processing circuitry configured to perform a secure exchange with a second edge computing device to negotiate a shared symmetric encryption key, based on a request for data. An inline encryption command for communication to the enhanced DMA engine is generated. The inline encryption command includes a first address associated with a storage location storing the data, a second address associated with a memory location in the memory device, and the shared symmetric encryption key. The data is retrieved from the storage location using the first address, the data is encrypted using the shared symmetric encryption key, and the encrypted data is stored in the memory location using the second address.
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公开(公告)号:US11888858B2
公开(公告)日:2024-01-30
申请号:US17064218
申请日:2020-10-06
Applicant: Intel Corporation
Inventor: Ned M. Smith , Sunil Cheruvu , Francesc Guim Bernat , Kshitij Arun Doshi , Eve M. Schooler , Dario Sabella
IPC: H04L29/06 , H04L9/40 , G06F8/60 , H04L45/00 , H04L67/568
CPC classification number: H04L63/123 , G06F8/60 , H04L45/72 , H04L63/08 , H04L67/568
Abstract: Various aspects of methods, systems, and use cases for verification and attestation of operations in an edge computing environment are described, based on use of a trust calculus and established definitions of trustworthiness properties. In an example, an edge computing verification node is configured to: obtain a trust representation, corresponding to an edge computing feature, that is defined with a trust calculus and provided in a data definition language; receive, from an edge computing node, compute results and attestation evidence from the edge computing feature; attempt validation of the attestation evidence based on attestation properties defined by the trust representation; and communicate an indication of trustworthiness for the compute results, based on the validation of the attestation evidence. In further examples, the trust representation and validation is used in a named function network (NFN), for dynamic composition and execution of a function.
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