AUTOMATED RESOURCE MANAGEMENT FOR DISTRIBUTED COMPUTING

    公开(公告)号:US20220197773A1

    公开(公告)日:2022-06-23

    申请号:US17439262

    申请日:2020-03-26

    Abstract: In some embodiments, infrastructure data and service data is received for a computing infrastructure. The infrastructure data indicates resources in the computing infrastructure, and the service data indicates services to be orchestrated across the computing infrastructure. An infrastructure capacity model is generated, which indicates a capacity of the computing infrastructure over a particular time window. Service-to-resource placement options are also identified, which indicate possible placements of the services across the resources over the particular time window. Resource inventory data is obtained, which indicates an inventory of resources that are available to add to the computing infrastructure during the particular time window. An infrastructure capacity plan is then generated, which indicates resource capacity allocation options over the time slots of the particular time window. Resource capacities for the services are then allocated in the computing infrastructure.

    Computing infrastructure resource-workload management methods and apparatuses

    公开(公告)号:US10666570B2

    公开(公告)日:2020-05-26

    申请号:US15361905

    申请日:2016-11-28

    Abstract: Apparatuses and methods associated with management of computing infrastructure resources and workloads are disclosed herein. In embodiments, an apparatus may comprise a resource-workload manager having: a placement solution generator to generate a plurality of potential resource placement solutions for allocation of various resources of the computing infrastructure to various workloads; one or more utility function calculators to calculate one or more values for one or more provider-centric attributes, and one or more values for one or more customer-centric attributes, for the plurality of potential solutions; an analyzer to analyze the attributes and select one of the potential resource placement solutions; and a resource allocator to allocate the resources, based at least in part on the selected resource placement solution. Other embodiments may be described and/or claimed.

    Computer-readable storage medium, an apparatus and a method to select access layer devices to deliver services to clients in an edge computing system

    公开(公告)号:US11218546B2

    公开(公告)日:2022-01-04

    申请号:US16830226

    申请日:2020-03-25

    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.

    MOBILE SERVICE CHAIN PLACEMENT
    6.
    发明申请

    公开(公告)号:US20190045374A1

    公开(公告)日:2019-02-07

    申请号:US15900604

    申请日:2018-02-20

    Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform; and a service chain pre-placement analyzer to operate on the hardware platform and configured to: receive a total utility input for a service chain placement; predict a mobility pattern for the service chain placement; and compute an average utility for the service chain placement, wherein the average utility is a product of the total utility and the mobility pattern.

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