Intel Corporation

Scott P Dubal

Francesc Guim Bernat

Patrick L Connor

James Robert Hearn

Chris Pavlas

Douglas Boom

David J Harriman

Matthew James Adiletta

Kapil Sood

Andrew J Herdrich

Stephen T Palermo

Jesse C Brandeburg

Iosif Gasparakis

Jr-Shian Tsai

Anjali Singhai Jain

Edwin Verplanke

Nrupal R Jani

Ravishankar Iyer

Alexander W Min

Eliezer Tamir

Eliel Louzoun

Mesut A Ergin

Arvind Srinivasan

Ben-Zion Friedman

Karthik Veeramani

Parthasarathy Sarangam

Katalin Klara Bartfai-Walcott

Alexander Bachmutsky

Thomas E Willis

Michael Hingston McLaughlin Bursell

Yadong Li

Ilango S Ganga

Prakash N Iyer

Kent C Lusted

Niall D McDonnell

Elizabeth M Kappler

Mark V Montecalvo

Matthew A Jared

Duke C Hong

Trevor Cooper

Pradeepsunder Ganesh

Dinesh Kumar

Daniel J Dahle

Jeffrey B Shaw

Kevin Liedtke

Mike Bursell

Maciej Machnikowski

Sharada Ashok Shiddibhavi

Rajneesh Chowdhury

Peter P Waskiewicz, Jr

David E Cohen

Rashmin N Patel

Christine M Krause

Ujwal Paidipathi

Daniel R Gaur

Daniel K Osawa

Kelly Couch

Brian L Kantor

Maciej Plucinski

Guobin Liu

Ronald Frederick Barbee

Jeffery G Oliver

Niall Mcdonnell

Nishantkumar Shah

Patrick J McLAUGHLIN

Parthasarathy Sangam

Paul Greenwalt

Aaron K Salter

Patrick Conner

Mallikarjuna R Chilakala

John R Spain

Akeem Abodunrin

Lev Faerman

Suyog Kulkarni

Amritha Nambiar

Brian C Schuettke

Ranghu Kondapalli

Partick Connor

Sharada Ashk Shiddibhavi

Douglas D Boom

Ronald F Barbee

Examples described herein relate to a switch device for a rack of two or more physical servers, wherein the switch device is coupled to the two or more physical servers and the switch device performs packet protocol processing termination for received packets and provides payload data from the received packets without a received packet header to a destination buffer of a destination physical server in the rack. In some examples, the switch device comprises at least one central processing unit, the at least one central processing unit is to execute packet processing operations on the received packets. In some examples, a physical server executes at least one virtualized execution environments (VEE) and the at least one central processing unit executes a VEE for packet processing of packets with data to be accessed by the physical server that executes the VEE.

Switch-managed resource allocation and software execution

Examples described herein relate to a network interface receiving a firmware update from one or more packets. In some examples, the one or more packets indicate a start of a firmware update. In some examples, the network interface can also perform authenticating the start of firmware update indication and based on authentication of the firmware update, permit a firmware update of a device. In some examples, the device is one or more of: Board Management Controller (BMC), central processing unit (CPU), network interface, Ethernet controller, storage controller, memory controller, display engine, graphics processing unit (GPU), accelerator device, or peripheral device. In some examples, an end of firmware update indicator is received in the one or more packets. In some examples, communications are maintained through a port during a firmware change.

Device firmware update techniques

Methods, apparatus, and computer platforms and architectures employing many-to-many and many-to-one peripheral switches. The methods and apparatus may be implemented on computer platforms having multiple nodes, such as those employing a Non-uniform Memory Access (NUMA) architecture, wherein each node comprises a plurality of components including a processor having at least one level of memory cache and being operatively coupled to system memory and operatively coupled to a many-to-many peripheral switch that includes a plurality of downstream ports to which NICs and/or peripheral expansion slots are operatively coupled, or a many-to-one switch that enables a peripheral device to be shared by multiple nodes. During operation, packets are received at the NICs and DMA memory writes are initiated using memory write transactions identifying a destination memory address. The many-to-many and many-to-one peripheral switches forwards the transaction packets internally within the switch based on the destination address such that the packets are forwarded to a node via which the memory address can be accessed. The platform architectures may also be configured to support migration operations in response to failure or replacement of a node.

Many-to-many PCIE switch

Many-to-many PCIe switch

Technologies for deploying virtual machines (VMs) in a virtual network function (VNF) infrastructure include a compute device configured to collect a plurality of performance metrics based on a set of key performance indicators, determine a key performance indicator value for each of the set of key performance indicators based on the collected plurality of performance metrics, and determine a service quality index for a virtual machine (VM) instance of a plurality of VM instances managed by the compute as a function each key performance indicator value. Additionally, the compute device is configured to determine whether the determined service quality index is acceptable and perform, in response to a determination that the determined service quality index is not acceptable, an optimization action to ensure the VM instance is deployed on an acceptable host of the compute device. Other embodiments are described herein.

Technologies for deploying virtual machines in a virtual network function infrastructure

Technologies for control plane separation at a network interface controller (NIC) of a compute device configured to transmit, by a resource of the compute device, commands to a physical function managed by a network interface controller (NIC) of the compute device. The NIC is further to establish a data plane separate from a control plane, wherein the control plane comprises one of the trusted control path and the untrusted control path. Additionally, the resource is configured to transmit the commands via one of the trusted control path or the untrusted control path based on a trust level associated with the physical function. Other embodiments are described herein.

Technologies for control plane separation in a network interface controller

Technologies for applying a redundancy encoding scheme to segmented portions of a data block include an endpoint computing device communicatively coupled to a destination computing device. The endpoint computing device is configured to divide a block of data into a plurality of data segments as a function of a transmit window size and a redundancy encoding scheme, and generate redundant data usable to reconstruct each of the plurality of data segments. The endpoint computing device is additionally configured to format a series of network packets that each includes a data segment of the plurality of data segments and generated redundant data for at least one other data segment of the plurality of data segments. Further, the endpoint computing device is configured to transport each of the series of network packets to a destination computing device. Other embodiments are described herein.

Technologies for applying a redundancy encoding scheme to segmented network packets

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

Examples may include techniques to live migrate a virtual machine (VM) using disaggregated computing resources including compute and memory resources. Examples include copying data between allocated memory resources that serve as near or far memory for compute resources supporting the VM at a source or destination server in order to initiate and complete the live migration of the VM.

Techniques to migrate a virtual machine using disaggregated computing resources

Systems, apparatuses, and/or methods to provide data processing offload. An apparatus may determine whether a task is to be processed locally at a client device or remotely off the client device and issue the task to a wireless network and/or a wired network when the task is to be processed remotely off the client device at a server device. An apparatus may identify the task from the wireless network and/or the wired network when the task is to be processed locally at the server device, distribute the task to a server resource at the server device when the task is to be to processed locally at the service device, and provide a result of the task to the wireless network and/or the wired network when the result is to be consumed remotely at the client device.

Data processing offload

System and techniques for multifactor intelligent agent control are described herein. A workload request may be received from a user device via a network. The workload may be instantiated in an isolated environment on an edge computing platform. Here, the isolated environment may be a container or a virtual machine. The instantiation of the workload may include using a hardware security component (SEC) of the mobile edge computing platform to prevent access to data or code of the workload from other environments hosted by the mobile edge computing platform. The workload may then be executed in the isolated environment and a result of the workload returned to the user device.

Mobile edge-cloud security infrastructure

NUMA node peripheral switch

Technologies for monitoring service level agreement (SLA) performance in an end-to-end SLA monitoring architecture include a network functions virtualization (NFV) SLA controller configured to manage SLA agents initialized in various network processing components of the end-to-end SLA monitoring architecture. To do so, the NFV SLA controller is configured to provide instruction to the SLA agents indicating which types of telemetry data to monitor and receive the requested telemetry data, as securely collected and securely packaged by the SLA agents. The NFV SLA controller is further configured to securely analyze the received telemetry data to determine one or more performance metrics and compare performance benchmarks against the performance metrics to generate an SLA report that includes the results of the comparison. Other embodiments are described and claimed.

Technologies for independent service level agreement monitoring

Growing community of inventors

Beaverton, OR, United States of America

Scott P Dubal