Intel Corporation

Daniel J Dahle

Tsung-Yuan Charles Tai

Patrick L Connor

Richard A Uhlig

Christian Maciocco

Alexander W Min

Rajendra S Yavatkar

Jeffrey R Jackson

Ashok Sunder Rajan

Kapil Sood

Andrew J Herdrich

Dinesh Kumar

Jeffrey B Shaw

Scott P Dubal

Edwin Verplanke

James Robert Hearn

Ravishankar Iyer

Jr-Shian Tsai

Vallabhajosyula S Somayazulu

Debabani Choudhury

Xingang Guo

Eric A Jacobsen

Jeffrey R Foerster

Iosif Gasparakis

Maynard C Falconer

Brian J Skerry

Thomas M Slaight

Reza Arefi

Nrupal R Jani

Ira Weiny

Steven R Carbonari

Denver H Dash

In the present disclosure, functions associated with the central office of an evolved packet core network are co-located onto a computer platform or sub-components through virtualized function instances. This reduces and/or eliminates the physical interfaces between equipment and permits functional operation of the evolved packet core to occur at a network edge.

Cross-function virtualization of a telecom core network

Devices and techniques for out-of-band platform tuning and configuration are described herein. A device can include a telemetry interface to a telemetry collection system and a network interface to network adapter hardware. The device can receive platform telemetry metrics from the telemetry collection system, and network adapter silicon hardware statistics over the network interface, to gather collected statistics. The device can apply a heuristic algorithm using the collected statistics to determine processing core workloads generated by operation of a plurality of software systems communicatively coupled to the device. The device can provide a reconfiguration message to instruct at least one software system to switch operations to a different processing core, responsive to detecting an overload state on at least one processing core, based on the processing core workloads. Other embodiments are also described.

Out-of-band platform tuning and configuration

Technologies to monitor and manage platform, device, processor and power characteristics throughout a system utilizing a remote entity such as controller node. By remotely monitoring and managing system operation and performance over time, future system performance requirements may be anticipated, allowing system parameters to be adjusted proactively in a more coordinated way. The controller node may monitor, control and predict traffic flows in the system and provide performance modification instructions to any of the computer nodes and a network switch to better optimize performance. The target systems collaborate with the controller node by respectively monitoring internal resources, such as resource availability and performance requirements to provide necessary resources for optimizing operating parameters of the system. The controller node may collect local system information for one or all of the computer nodes to dynamically steer traffic to a specific set of computers for processing to meet desired performance and power requirements.

Technologies for directed power and performance management

Systems and methods to generate maps or models of structures are disclosed. Features of the structure to be mapped may be determined for the purposes of generating the map or model based at least in part on images associated with the structure, sensor measurements associated with the structure, and phase data of communications signals that interact with the structure. The mapping or modeling processes may be performed at a mapping server that receives images, sensor data, and/or communications signal phase information from one or more user devices, such as mobile devices. The mapping servers may perform a simultaneous localization and mapping (SLAM) process and may enhance the generated maps using sensor and/or communications phase data to map one or more hidden features of the structure.

Systems and methods for mapping

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that are associated with end-to-end datacenter performance control. In various embodiments, an apparatus for computing may receive a datacenter performance target, determine an end-to-end datacenter performance level based at least in part on quality of service data collected from a plurality of nodes, and send a mitigation command based at least in part on a result of a comparison of the end-to-end datacenter performance level determined to the datacenter performance target. In various embodiments, the apparatus for computing may include one or more processors, a memory, a datacenter performance monitor to receive a datacenter performance target corresponding to a service level agreement, and a mitigation module to send a mitigation command based at least in part on a result of a comparison of an end-to-end datacenter performance level to a datacenter performance target.

End-to-end datacenter performance control

Growing community of inventors

Wilsonville, OR, United States of America

Daniel J Dahle