MECHANISM FOR SECURE AND RESILIENT CONFIGURATION UPGRADES

    公开(公告)号:US20220012042A1

    公开(公告)日:2022-01-13

    申请号:US17484455

    申请日:2021-09-24

    摘要: Various systems and methods for providing secure and resilient configuration upgrades are described herein. A system, includes a processor; and memory to store instructions, which when executed by the processor, cause the system to: receive at a resilient security island (RSI) partition of a first network node, an update from a source, the first network node hosting the RSI partition and a host partition, the RSI comprising reserved hardware resources of the first network node; verify, by the RSI, provenance of the update; apply, by the RSI, the update to modify a configuration of the RSI or the host partition; test, by the RSI, the modified configuration of the RSI or the host partition; and provide a cryptographic proof that the test was completed and an update status to an update coordinator.

    BROKERED NETWORK TRAFFIC MONITORING AND THREAT ANALYSIS

    公开(公告)号:US20230010406A1

    公开(公告)日:2023-01-12

    申请号:US17711933

    申请日:2022-04-01

    IPC分类号: H04L9/40

    摘要: The subject matter described herein provides technical solutions for technical problems facing computing network security. Technical solutions described herein include adaptive sniffing of networking traffic, such as using a brokered network traffic sniffing framework. A brokered sniffing framework may be used to provide dynamic adjustment of network access points and network traffic sampling queries, such as by providing dynamic adjustment in response to changes to the network topology or network traffic. The brokered sniffing framework may provide improved statistical sampling of network traffic using improved network traffic telemetry, such as by modifying a statistical profile of network traffic contents that are collected. The network traffic telemetry may be used to identify various changes in network traffic, such as by identifying statistically significant changes in latencies, bandwidths, or other data center performance metrics.

    STORAGE CLASS MEMORY DEVICE INCLUDING A NETWORK

    公开(公告)号:US20220113914A1

    公开(公告)日:2022-04-14

    申请号:US17560945

    申请日:2021-12-23

    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.

    GEOFENCE-BASED EDGE SERVICE CONTROL AND AUTHENTICATION

    公开(公告)号:US20210006972A1

    公开(公告)日:2021-01-07

    申请号:US17025519

    申请日:2020-09-18

    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.

    DISTRIBUTED MACHINE LEARNING IN AN INFORMATION CENTRIC NETWORK

    公开(公告)号:US20200027022A1

    公开(公告)日:2020-01-23

    申请号:US16586593

    申请日:2019-09-27

    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.