Systems and methods of creating and operating a cloudless infrastructure of computing devices

    公开(公告)号:US11496448B2

    公开(公告)日:2022-11-08

    申请号:US17566209

    申请日:2021-12-30

    Abstract: Aspects involve an apparatus, device, systems, and methods for instantiating and operating a cloudless infrastructure of computing devices that communicate peer-to-peer and mostly off-grid (or otherwise without communicating through a conventional centralized network) to share resources, access, and provide services and applications, store and access data and other information, and the like. The systems may provide services to connecting computing devices, such as user devices, personal computing devices, mobile devices, laptops, personal computers, Internet of Things (IoT) devices etc., in communication with one or more of the nodes of the infrastructure. The infrastructure exchanges or manages communications, transactions, and/or data in a cloudless and/or decentralized environment to freely exchange information between the nodes to allow the infrastructure to scale in response to client demands, adapt the infrastructure to a failed node with minimal impact on connected computing devices, and provide robust security to customer information, communications, and devices.

    Centrally managed time-sensitive fog networks

    公开(公告)号:US11489787B2

    公开(公告)日:2022-11-01

    申请号:US17135991

    申请日:2020-12-28

    Abstract: The present disclosure envisages optimization of a time-sensitive fog network deployed in an industrial environment. The time-sensitive fog network comprises a plurality of fog nodes communicably coupled to a plurality of industrial equipments referenced as endpoints. Each fog node is embodied with a plurality of computer-based resources including computational resources, storage resources, security resources, network resources, application-specific resources, and device-specific resources. The resource constraints that warrant the endpoints to cooperate with specific fog nodes to access specific resources are manifested as a compute profile, a storage profile, a security profile, a network profile, an application-specific profile, and a device-specific profile. The endpoints are optimally provisioned to cooperate with the fog nodes and consume the computer-based resources embodied therein, based on a deployment model that optimally and deterministically correlates the plurality of computer-based resources embodied in each of the fog nodes to the resource profiles attributed to each of the endpoints.

    Traffic estimations for backbone networks

    公开(公告)号:US11489780B1

    公开(公告)日:2022-11-01

    申请号:US17106678

    申请日:2020-11-30

    Inventor: Atefeh Khosravi

    Abstract: Traffic flow across a backbone network can be determined even though flow data may not be available from all network devices. Flow data can be observed using types of backbone devices, such as aggregation and transit devices. An algorithm can be applied to determine which data to utilize for flow analysis, where this algorithm can be based at least in part upon rules to prevent duplicate accounting of traffic being observed by multiple devices in the backbone network. Such an algorithm can use information such as source address, destination address, and region information to determine which flow data to utilize. In some embodiments, address mapping may be used to attribute this traffic to various services or entities. The data can then be analyzed to provide information about the flow of traffic across the backbone network, which can be useful for purposes such as network optimization and usage allocation.

    HUMAN SUPERVISION AND GUIDANCE FOR AUTONOMOUSLY CONFIGURED SHARED RESOURCES

    公开(公告)号:US20220345419A1

    公开(公告)日:2022-10-27

    申请号:US17848883

    申请日:2022-06-24

    Abstract: Disclosed herein are guidance/supervision systems that may utilize guidance and supervision policies from various stakeholders, such as resource owner(s) and service owner(s), to provide guidance, supervision, and introspective analysis for an autonomous system that configures a group of shared resources. The system includes determining, based on predefined preferences associated with shared resources, a set of policies to guide an autonomous system in determining a set of configuration parameters for sharing the shared resources. The system also includes providing the set of policies to the autonomous system to configure the shared resources according to the set of configuration parameters.

    APPLICATION-SPECIFIC PACKET PROCESSING OFFLOAD SERVICE

    公开(公告)号:US20220321496A1

    公开(公告)日:2022-10-06

    申请号:US17634149

    申请日:2019-08-15

    Inventor: Martin JULIEN

    Abstract: A method for offloading network operations is described. The method includes receiving an offload service capabilities request message from a first application to request information from an offload service regarding capabilities of the offload service that meet a set of requirements; transmitting a response to the application that includes a set of offload service templates that are (1) selected based on the application requirements and (2) possible templates to be modified for performing operations of the application; evaluating the network resources for the program code of the application to select a set of network resources for offloading the operations of the first application to the network resources; and installing the program code, which was generated based on a set of offload service templates, on the set of network resources such that the set of network resources process packets from a second application that are addressed to the first application.

    Content Source Allocation Between Computing Devices

    公开(公告)号:US20220303225A1

    公开(公告)日:2022-09-22

    申请号:US17836749

    申请日:2022-06-09

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure relate generally to allocation of content resources in a voice activated packet-based computer network. A request for a digital component, by a client computing device, can be fulfilled by multiple content sources. Fulfillment by the different content sources can consume different amounts of computational and network resources. The selection of the best content provider can improve the efficiency and effectiveness of data packet transmission over one or more computer networks.

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