公开(公告)号：US11917038B2

公开(公告)日：2024-02-27

申请号：US17344491

申请日：2021-06-10

Applicant: Intel Corporation

Inventor： Michael Nolan ,  Keith Ellis ,  Marcin Spoczynski ,  Michael McGrath ,  David Coates

IPC: H04L29/06 ,  G06N20/00 ,  H04L41/0893 ,  H04L41/14 ,  H04L41/142 ,  H04L45/74 ,  H04L45/745 ,  H04L47/38 ,  H04L69/04 ,  H04L67/06 ,  H04L67/568 ,  H04L69/22

CPC classification number: H04L69/04 ,  G06N20/00 ,  H04L41/0893 ,  H04L41/142 ,  H04L41/145 ,  H04L45/742 ,  H04L45/745 ,  H04L47/38 ,  H04L67/06 ,  H04L67/568 ,  H04L69/22

Abstract: An apparatus is disclosed to compress packets, the apparatus comprising; a data analyzer to identify a new destination address and a protocol identifier of an input packet corresponding to a new destination node and a communication system between the new destination node and a source node; a compression engine to utilize a plurality of compression functions based on the new destination address and the protocol identifier and reduce a size of the input packet; a compression analyzer to identify a reduced packet and a compression function identifier corresponding to the reduced packet, the compression function identifier associated with one of the compression functions; and a source modifier to construct a packet to include the compression function identifier by modifying unregistered values of a protocol identifier by a difference associated with the compression function identifier, the packet to inform the new destination node of a compression function.

公开(公告)号：US11012365B2

公开(公告)日：2021-05-18

申请号：US16586391

申请日：2019-09-27

Applicant: Intel Corporation

Inventor： Michael McGrath ,  Michael Nolan ,  Marcin Spoczynski ,  Dáire Healy ,  Stiofáin Fordham

IPC: H04L12/875 ,  H04L12/24 ,  H04L12/931 ,  H04L12/937 ,  H04L12/841 ,  H04L12/853 ,  H04L12/26

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to change a time sensitive networking schedule implemented by a softswitch are disclosed. Example apparatus disclosed herein to change a time sensitive networking schedule implemented by a first softswitch on a compute node include a network node configurator to deploy a second softswitch on the compute node based on a first configuration specification associated with the first softswitch, configure the second softswitch to implement an updated time sensitive networking schedule different from the time sensitive networking schedule implemented by the first softswitch, and replace the first softswitch with the second softswitch in response to a determination that a first set of constraints is met for simulated network traffic processed by the second softswitch based on the updated time sensitive networking schedule. Disclosed example apparatus also include a simulator to apply the simulated network traffic to the second softswitch.

公开(公告)号：US11824784B2

公开(公告)日：2023-11-21

申请号：US16723330

申请日：2019-12-20

Applicant: Intel Corporation

Inventor： Brian Andrew Keating ,  Marcin Spoczynski ,  Lokpraveen Mosur ,  Kshitij Arun Doshi ,  Francesc Guim Bernat

IPC: G06F9/50 ,  H04L41/16 ,  H04L41/5009 ,  H04L47/2425 ,  H04L49/00 ,  H04L47/80 ,  H04L47/78 ,  H04L41/06 ,  H04L41/40 ,  H04L41/5025 ,  H04L41/5054

CPC classification number: H04L47/2425 ,  G06F9/5011 ,  G06F9/5077 ,  H04L41/06 ,  H04L41/40 ,  H04L41/5009 ,  H04L41/5025 ,  H04L47/781 ,  H04L47/805 ,  H04L49/70 ,  G06F2209/501 ,  G06F2209/503 ,  G06F2209/508 ,  H04L41/5054

Abstract: Various approaches for implementing platform resource management are described. In an edge computing system deployment, an edge computing device includes processing circuitry coupled to a memory. The processing circuitry is configured to obtain, from an orchestration provider, an SLO (or SLA) that defines usage of an accessible feature of the edge computing device by a container executing on a virtual machine within the edge computing system. A computation model is retrieved based on at least one key performance indicator (KPI) specified in the SLO. The defined usage of the accessible feature is mapped to a plurality of feature controls using the retrieved computation model. The plurality of feature controls is associated with platform resources of the edge computing device that are pre-allocated to the container. The usage of the platform resources allocated to the container is monitored using the plurality of feature controls.

公开(公告)号：US11159609B2

公开(公告)日：2021-10-26

申请号：US16833435

申请日：2020-03-27

Applicant: Intel Corporation

Inventor： Michael J. McGrath ,  Daire Healy ,  Christopher D. Lucero ,  Marcin Spoczynski

IPC: H04L29/08 ,  G06F9/50 ,  G06F9/54 ,  G16Y40/10 ,  G16Y40/35

Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method. The computer-readable storage medium is of an edge computing system and is to identify a target edge node for deployment of a workload thereon. The computer-readable storage medium further comprises computer-readable instructions that, when executed, cause at least one processor to perform operations comprising: determining whether respective ones of candidate target edge nodes of a set of candidate target edge nodes of the edge computing system support workload determinism key performance indicators (KPIs) of the workload; in response to a determination that one or more candidate target edge nodes support the workload determinism KPIs, selecting a target edge node from the one or more candidate edge nodes; and causing the workload to be deployed at the target edge node.

公开(公告)号：US20210014133A1

公开(公告)日：2021-01-14

申请号：US17032993

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Christian Maciocco ,  Kshitij Doshi ,  Francesc Guim Bernat ,  Ned M. Smith ,  Marcin Spoczynski ,  Timothy Verrall ,  Rajesh Gadiyar ,  Trevor Cooper ,  Valerie Parker

IPC: H04L12/24 ,  H04L12/26 ,  H04L29/08

Abstract: Methods and apparatus to coordinate edge platforms are disclosed. A disclosed example apparatus includes to control processing of data associated with edges includes an orchestrator analyzer to determine a first performance requirement of a first microservice of an application and a second performance requirement of a second microservice of the application. The apparatus also includes an orchestrator controller to assign the first microservice and the second microservice across first and second edge nodes between a source network and a destination network by: assigning the first microservice to the first edge node based on a first capability of the first edge node satisfying the first performance requirement of the first microservice, and assigning the second microservice to the second edge node based on a second capability of the second edge node satisfying the second performance requirement of the second microservice.

公开(公告)号：US20200296155A1

公开(公告)日：2020-09-17

申请号：US16833435

申请日：2020-03-27

Applicant: Intel Corporation

Inventor： Michael J. McGrath ,  Daire Healy ,  Christopher D. Lucero ,  Marcin Spoczynski

IPC: H04L29/08 ,  G06F9/54 ,  G06F9/50

Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method. The computer-readable storage medium is of an edge computing system and is to identify a target edge node for deployment of a workload thereon. The computer-readable storage medium further comprises computer-readable instructions that, when executed, cause at least one processor to perform operations comprising: determining whether respective ones of candidate target edge nodes of a set of candidate target edge nodes of the edge computing system support workload determinism key performance indicators (KPIs) of the workload; in response to a determination that one or more candidate target edge nodes support the workload determinism KPIs, selecting a target edge node from the one or more candidate edge nodes; and causing the workload to be deployed at the target edge node.

公开(公告)号：US12187301B2

公开(公告)日：2025-01-07

申请号：US17133125

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Nageen Himayat ,  Maruti Gupta Hyde ,  Ravikumar Balakrishnan ,  Mustafa Akdeniz ,  Marcin Spoczynski

IPC: G06N20/00 ,  B60W50/06 ,  B60W60/00 ,  G06N5/04 ,  G06V10/764 ,  G06F18/214 ,  G06V20/56

Abstract: A method of implementing distributed AI or ML learning for autonomous vehicles is disclosed. An AI or ML model specific to a location or a type of the location is generated at a vehicle. In response to a detection that the vehicle is within a proximity to a road side unit (RSU) associated with the location or the type of the location or the vehicle is within a proximity to an additional vehicle that is present or anticipated to be present at the location or the type of the location, causing an AI or ML model transmission to the additional vehicle or the RSU. Based on the causing the AI or ML model reception, causing deployment of an additional AI or ML model in the vehicle to optimize the vehicle for the location or the type of the location.

公开(公告)号：US20240330466A1

公开(公告)日：2024-10-03

申请号：US18676413

申请日：2024-05-28

Applicant: Intel Corporation

Inventor： Scott Douglas Constable ,  Marcin Andrzej Chrapek ,  Marcin Spoczynski ,  Cory Cornelius ,  Mona Vij ,  Anjo Lucas Vahldiek-Oberwagner

IPC: G06F21/57

CPC classification number: G06F21/57

Abstract: Methods, apparatus, systems, and articles of manufacture to verify integrity of a model are disclosed. An example apparatus includes programmable circuitry to initialize an instance of a trusted execution environment; upload a security manifest of the trusted execution environment and a machine learning model; determine whether to store the machine learning model into a memory based on checking of the security manifest; determine whether the machine learning model is valid; and output a validation result.

公开(公告)号：US20220224762A1

公开(公告)日：2022-07-14

申请号：US17712119

申请日：2022-04-02

Applicant: Intel Corporation

Inventor： Hao Feng ,  Yi Zhang ,  Srikathyayani Srikanteswara ,  Marcin Spoczynski ,  Nageen Himayat ,  Alexander Bachmutsky ,  Maruti Gupta Hyde

IPC: H04L67/51 ,  H04L67/63

Abstract: In one embodiment, a node of a data centric network (DCN) may receive a first service request interest packet from another node of the DCN, the first service request interest packet indicating a set of functions to be performed on source data to implement a service. The node may determine that it can perform a particular function of the set of functions, and determine, based on a backlog information corresponding to the particular function, whether to commit to performing the particular function or to forward the service request interest packet to another node. The node may make the determination further based on service delivery information indicating, for each face of the node, a service delivery distance for implementing the set of functions.

公开(公告)号：US11218546B2

公开(公告)日：2022-01-04

申请号：US16830226

申请日：2020-03-25

Applicant: Intel Corporation

Inventor： Marcin Spoczynski ,  Michael Nolan ,  Keith A. Ellis ,  Radhika Loomba

IPC: G06F15/173 ,  H04L29/08 ,  G06F17/16

Abstract: A non-transitory computer-readable storage medium, an apparatus, and a computer-implemented method to select respective physical infrastructure devices of an edge computing system to implement services requested by respective service-requesting clients. The computer-readable storage medium includes computer-readable instructions that, when executed, cause at least one processor to perform operations comprising, for each candidate physical infrastructure device, calculating a utility score corresponding to each of the services requested, wherein: the utility score corresponds to one of each of the respective service-requesting clients or each subgroup of a plurality of subgroups of the respective service-requesting clients. The utility score is based on location-related attributes and resource-related attributes of said each candidate physical infrastructure device, resource-related attributes of said each of the services requested, and location-related attributes and movement-related attributes of one of said each of the respective service-requesting clients or said each subgroup of the plurality of subgroups of the respective service-requesting clients.