Intel Corporation

Other

Ira Weiny

Tsung-Yuan Charles Tai

Patrick L Connor

Alexander W Min

Brian J Skerry

Iosif Gasparakis

Steven R Carbonari

Douglas S Oucharek

Andrew J Herdrich

Jr-Shian Tsai

Todd M Rimmer

Mark Sean Hefty

Thomas M Slaight

Nrupal R Jani

Dinesh Kumar

Daniel J Dahle

John Fleck

Kaike Wan

A computer-implemented method can include receiving a queue depth for a receive queue of a network interface controller (NIC), determining whether a power state of a central processing unit (CPU) core mapped to the receive queue should be adjusted based on the queue depth, and adjusting the power state of the CPU core responsive to a determination that the power state of the CPU core should be adjusted.

Using network interface controller (NIC) queue depth for power state management

An originated packet is to be forward-propagated along a path to a destination device, with the path including one or more intermediary node devices. A path quality indication representing a reported error having been detected by at least one of the intermediary node devices residing along the path, is incorporated in the forward-propagating packet. The destination device incorporates the path quality indication in an acknowledgement packet directed to the originator of the packet.

Proactive path quality reporting in packet transmission

Examples may include techniques to enable synchronized execution of a command by nodes in a network fabric. A node capable of hosting a fabric manager for the network fabric (fabric manager node) may generate one or more packets including a command to be executed by at least some nodes in the network fabric. In some examples, a time stamp is also included with at least one of the one or more packets to indicate to receiving nodes to execute the command at a synchronized time.

Techniques for synchronized execution of a command at network fabric nodes

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

Technologies for identifying service functions that may be performed in parallel in a service function chain include a computing device for running one or more virtual machines for each of a plurality of service functions based on a preferred service function chain being selected. To identify which service functions may be performed in parallel, the computing device may determine which service functions are not required to be performed on a critical path of the service function chain and/or which service functions are not required to be performed in real-time. Additionally, selecting the preferred service function chain may be based on selection criteria.

Parallel processing of service functions in service function chains

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Ira Weiny