公开(公告)号：US20220113914A1

公开(公告)日：2022-04-14

申请号：US17560945

申请日：2021-12-23

申请人： Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Ned M. Smith

发明人： Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Ned M. Smith

IPC分类号： G06F3/06 ,  G06F12/02 ,  G06F12/0888

摘要： Systems and techniques for storage-class memory device including a network interface are described herein. A write for a network communication is received by the host interface of the memory device. Here, the network communication includes a header. The header is written to a non-volatile storage array managed by a memory controller. A network command is detected by the memory device. Here, the network command includes a pointer to the header in the non-volatile storage array. The header is retrieved from the non-volatile storage array and a packet based on the header is transmitted via a network interface of the memory controller.

公开(公告)号：US20210314365A1

公开(公告)日：2021-10-07

申请号：US17351004

申请日：2021-06-17

申请人： Ned M. Smith ,  Jose Benchimol ,  Andrew Draper

发明人： Ned M. Smith ,  Jose Benchimol ,  Andrew Draper

IPC分类号： H04L29/06 ,  G06F11/34

摘要： Various examples of device and system implementations and methods for performing end-to-end attestation operations for multi-layer hardware devices are disclosed. In an example, attestation operations are performed by a verifier, including: obtaining layered attestation evidence regarding a state of a compute device, with the layered attestation evidence including attesting evidence provided from a second hardware layer of the compute device, such that the attesting evidence provided from the second hardware layer is generated from attesting evidence provided from a first hardware layer of the compute device to the second hardware layer of the compute device; obtaining endorsement information relating to the layered attestation evidence for the state of the compute device; determining an appraisal policy for performing attestation of the compute device from the layered attestation evidence; and applying the appraisal policy and the endorsement information to the layered attestation evidence, to perform attestation of the compute device.

公开(公告)号：US20210152543A1

公开(公告)日：2021-05-20

申请号：US17127852

申请日：2020-12-18

申请人： Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Kapil Sood ,  Tarun Viswanathan ,  Ned M. Smith

发明人： Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Kapil Sood ,  Tarun Viswanathan ,  Ned M. Smith

IPC分类号： H04L29/06 ,  G06N7/00

摘要： Systems and techniques for automatic escalation of trust credentials are described herein. Requestor data may be received that describes workloads of a requestor. A set of trust credentials may be determined by using an escalation prediction model to evaluate the requestor data. The multi-access token may be assembled from the set of trust credentials. The multi-access token may be transmitted to an information provider to fulfill a request of a requestor.

公开(公告)号：US20210112456A1

公开(公告)日：2021-04-15

申请号：US17131407

申请日：2020-12-22

申请人： Satish Chandra Jha ,  S M Iftekharul Alam ,  Ned M. Smith ,  Vesh Raj Sharma Banjade ,  Xiaoyun May Wu ,  Ignacio Javier Alvarez Martinez ,  Arvind Merwaday

发明人： Satish Chandra Jha ,  S M Iftekharul Alam ,  Ned M. Smith ,  Vesh Raj Sharma Banjade ,  Xiaoyun May Wu ,  Ignacio Javier Alvarez Martinez ,  Arvind Merwaday

IPC分类号： H04W28/10 ,  H04W28/02 ,  H04W40/24 ,  H04W40/30 ,  H04L12/24

摘要： Various systems and methods for improving connectivity of a Mobility-as-a-Service (MaaS) node are described herein, including categorizing MaaS communication traffic of a MaaS node into different levels of priority and controlling duplication or repetition of the MaaS communication traffic using the categorized level of priority of the MaaS communication traffic.

公开(公告)号：US20210014203A1

公开(公告)日：2021-01-14

申请号：US17032391

申请日：2020-09-25

申请人： Kshitij Arun Doshi ,  Uzair Qureshi ,  Lokpraveen Mosur ,  Patrick Fleming ,  Stephen Doyle ,  Brian Andrew Keating ,  Ned M. Smith

发明人： Kshitij Arun Doshi ,  Uzair Qureshi ,  Lokpraveen Mosur ,  Patrick Fleming ,  Stephen Doyle ,  Brian Andrew Keating ,  Ned M. Smith

IPC分类号： H04L29/06 ,  G06F21/60 ,  G06F13/28

摘要： 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.

公开(公告)号：US20210006972A1

公开(公告)日：2021-01-07

申请号：US17025519

申请日：2020-09-18

申请人： Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Ned M. Smith ,  Ben McCahill ,  Miltiadis Filippou

发明人： Francesc Guim Bernat ,  Kshitij Arun Doshi ,  Ned M. Smith ,  Ben McCahill ,  Miltiadis Filippou

IPC分类号： H04W12/00 ,  H04L9/06 ,  H04W12/04 ,  H04W4/021

摘要： Methods, systems, and use cases for geofence-based edge service control and authentication 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 obtain, from a plurality of connectivity nodes providing edge services, physical location information, and resource availability information associated with each of the plurality of connectivity nodes. An edge-to-edge location graph (ELG) is generated based on the physical location information and the resource availability information, the ELG indicating a subset of the plurality of connectivity nodes that are available for executing a plurality of services associated with an edge workload. The connectivity nodes are provisioned with the ELG and a workflow execution plan to execute the plurality of services, the workflow execution plan including metadata with a geofence policy. The geofence policy specifies geofence restrictions associated with each of the plurality of services.

公开(公告)号：US20200076715A1

公开(公告)日：2020-03-05

申请号：US16369426

申请日：2019-03-29

申请人： Raghu Kondapalli ,  Alexander Bachmutsky ,  Francesc Guim Bernat ,  Ned M. Smith ,  Trevor Cooper

发明人： Raghu Kondapalli ,  Alexander Bachmutsky ,  Francesc Guim Bernat ,  Ned M. Smith ,  Trevor Cooper

IPC分类号： H04L12/26

摘要： Technologies for collecting metrics associated with a processing resource (e.g., central processing unit (CPU) resources, accelerator device resources, and the like) over a time window are disclosed. According to an embodiment presented herein, a network device receives, in an edge network, a request to provide one or more metrics associated with a processing resource, the request specifying a window indicative of a time period to capture the one or more metrics. The network device obtains the one or more metrics from the processing resource for the specified window and provides the obtained one or more metrics in response to the request.

公开(公告)号：US20200027022A1

公开(公告)日：2020-01-23

申请号：US16586593

申请日：2019-09-27

申请人： Satish Chandra Jha ,  S M Iftekharul Alam ,  Ned M. Smith

发明人： Satish Chandra Jha ,  S M Iftekharul Alam ,  Ned M. Smith

IPC分类号： G06N20/00 ,  H04L29/08

摘要： Systems and techniques for distributed machine learning (DML) in an information centric network (ICN) are described herein. Finite message exchanges, such as those used in many DML exercises, may be efficiently implemented by treating certain data packets as interest packets to reduce overall network overhead when performing the finite message exchange. Further, network efficiency in DML may be improved achieved by using local coordinating nodes to manage devices participating in a distributed machine learning exercise. Additionally, modifying a round of DML training to accommodate available participant devices, such as by using a group quality of service metric to select the devices, or extending the round execution parameters to include additional devices, may have an impact on DML performance.

公开(公告)号：US20190327134A1

公开(公告)日：2019-10-24

申请号：US16456443

申请日：2019-06-28

申请人： Satish Chandra Jha ,  S.M. Iftekharul Alam ,  Yi Zhang ,  Eve M. Schooler ,  Ned M. Smith ,  Kathiravetpillai Sivanesan ,  Venkatesan Nallampatti Ekambaram ,  Srikathyayani Srikanteswara ,  Kuilin Clark Chen ,  Zongrui Ding

发明人： Satish Chandra Jha ,  S.M. Iftekharul Alam ,  Yi Zhang ,  Eve M. Schooler ,  Ned M. Smith ,  Kathiravetpillai Sivanesan ,  Venkatesan Nallampatti Ekambaram ,  Srikathyayani Srikanteswara ,  Kuilin Clark Chen ,  Zongrui Ding

IPC分类号： H04L12/24 ,  H04L12/26 ,  H04L5/00 ,  H04L29/08

摘要： Systems and techniques for mission critical (MC) push notification mechanism in a high-reliability (HR) information centric network (ICN) are described herein. For example, a node may test network links to other nodes to classify the other nodes into proximate nodes and non-proximate nodes based on a reception metric. The node may then elect a set of leader nodes from the proximate nodes. Here, the set of leader nodes are selected based on link quality between respective leader nodes and non-proximate nodes. The node may detect an MC event and create an ICN data packet that contains data from the MC event. The node may then transmit the ICN data packet to the set of leader nodes that then relay the ICN data packet to the non-proximate nodes.

公开(公告)号：US20190138908A1

公开(公告)日：2019-05-09

申请号：US16235100

申请日：2018-12-28

申请人： Francesc Guim Bernat ,  Ned M. Smith

发明人： Francesc Guim Bernat ,  Ned M. Smith

IPC分类号： G06N3/10 ,  H04L12/24

摘要： Various systems and methods of artificial intelligence (AI) processing using hardware acceleration within edge computing settings are described herein. In an example, processing performed at an edge computing device includes: obtaining a request for an AI operation using an AI model; identifying, based on the request, an AI hardware platform for execution of an instance of the AI model; and causing execution of the AI model instance using the AI hardware platform. Further operations to analyze input data, perform an inference operation with the AI model, and coordinate selection and operation of the hardware platform for execution of the AI model, is also described.