Intel Corporation

Radhika Loomba

Thijs Metsch

Joseph Butler

Keith A Ellis

Srikathyayani Srikanteswara

Michael J Nolan

Maruti Gupta Hyde

Eve M Schooler

Jessica C McCarthy

Marcin Spoczynski

Grigorios Katsaros

Leonard Feehan

Perumal Kuppuudaiyar

Lisa Sherin

Kevin Mullery

Perumal Kappuudaiyar

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.

Automated resource management for distributed computing

Devices and techniques for Information Centric Network (ICN) packet transmission control are described herein. An interest (or data) packet may be received at an ICN router. Here, the packet includes quality of service (QoS) information. For an interest packet, the ICN router creates a pending interest table (PIT) entry for the packet. The ICN router determines that it does not have a route for the packet. Thus, if it is an interest packet, there is no forward route in a forwarding information base (FIB). If it is a data packet, there is no corresponding PIT entry. However, after extracting the QoS information from the packet, the ICN router broadcasts the packet in accordance with the QoS information.

Information centric network packet transmission control

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.

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

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.

Mobile service chain placement

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.

Computing infrastructure resource-workload management methods and apparatuses

Growing community of inventors

Maynooth, Ireland

Radhika Loomba