Abstract: Disclosed herein are systems and methods for isolating input/output computing resources. In some embodiments, a host device may include a processor and logic coupled with the processor, to identify a tag identifier (Tag ID) for a process or container of the host device. The Tag ID may identify a queue pair of a hardware device of the host device for an outbound transaction from the processor to the hardware device, to be conducted by the process or container. Logic may further map the Tag ID to a Process Address Space Identifier (PASID) associated with an inbound transaction from the hardware device to the processor that used the identified queue pair. The process or container may use the PASID to conduct the outbound transaction via the identified queue pair. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for analyzing and optimizing workloads (e.g., virtual network functions) executing on edge resources are disclosed. According to one embodiment disclosed herein, a compute device launches a virtualized system including a virtual network function and a performance manager, the performance manager to monitor a current resource usage of the virtual network function as a function of a performance profile. The compute device determines, in response to a determination that one or more quality-of-service (QoS) requirements is not satisfied, whether one or more resources from the platform are available for satisfying the QoS requirements. The compute device receives, in response to a determination that the one or more resources are available for satisfying the QoS requirements, the one or more resources and updates the performance profile as a function of the received resources.

Abstract: Systems, methods, and apparatuses for resource monitoring identification reuse are described. In an embodiment, a system comprising a hardware processor core to execute instructions storage for a resource monitoring identification (RMID) recycling instructions to be executed by a hardware processor core, a logical processor to execute on the hardware processor core, the logical processor including associated storage for a RMID and state, are described.

Abstract: A device of a service coordinating entity includes communications circuitry to communicate with a plurality of access networks via a corresponding plurality of network function virtualization (NFV) instances, processing circuitry, and a memory device. The processing circuitry is to perform operations to monitor stored performance metrics for the plurality of NFV instances. Each of the NFV instances is instantiated by a corresponding scheduler of a plurality of schedulers on a virtualization infrastructure of the service coordinating entity. A plurality of stored threshold metrics is retrieved, indicating a desired level for each of the plurality of performance metrics. A threshold condition is detected for at least one of the performance metrics for an NFV instance of the plurality of NFV instances, based on the retrieved plurality of threshold metrics. A hardware resource used by the NFV instance to communicate with an access network is adjusted based on the detected threshold condition.

Abstract: Disclosed embodiments relate to cloud scaling with non-blocking, non-spinning cross-domain event synchronization and data communication. In an example, a processor includes a memory to store multiple virtual hardware thread (VHTR) descriptors, each including an architectural state, a monitored address range, a priority, and an execution state, fetch circuitry to fetch instructions associated with a plurality of the multiple VNFs, decode circuitry to decode the fetched instructions, scheduling circuitry to allocate and pin a VHTR to each of the plurality of VNFs, schedule execution of a VHTR on each of a plurality of cores, set the execution state of the scheduled VHTR; and in response to a monitor instruction received from a given VHTR, pause the given VHTR and switch in another VHTR to use the core previously used by the given VHTR, and, upon detecting a store to the monitored address range, trigger execution of the given VHTR.

Abstract: Methods and apparatus for accelerating VM-to-VM Network Traffic using CPU cache. A virtual queue manager (VQM) manages data that is to be kept in VM-VM shared data buffers in CPU cache. The VQM stores a list of VM-VM allow entries identifying data transfers between VMs that may use VM-VM cache “fast-path” forwarding. Packets are sent from VMs to the VQM for forwarding to destination VMs. Indicia in the packets (e.g., in a tag or header) is inspected to determine whether a packet is to be forwarded via a VM-VM cache fast path or be forwarded via a virtual switch. The VQM determines the VM data already in the CPU cache domain while concurrently coordinating with the data to and from the external shared memory, and also ensures data coherency between data kept in cache and that which is kept in shared memory.

Abstract: Technologies for managing quality of service of a platform interconnect include a compute device. The compute device includes one or more processors, one or more resources capable of being utilized by the one or more processors, and a platform interconnect to facilitate communication of messages between the one or more processors and the one or more resources. The compute device is to obtain class of service data for one or more workloads to be executed by the compute device. The class of service data is indicative of a capacity of one or more of the resources to be utilized in the execution of each corresponding workload. The compute device is also to execute the one or more workloads and manage the amount of traffic transmitted through the platform interconnect for each corresponding workload as a function of the class of service data as the one or more workloads are executed.

Abstract: Method and apparatus for per-agent control and quality of service of shared resources in a chip multiprocessor platform is described herein. One embodiment of a system includes: a plurality of core and non-core requestors of shared resources, the shared resources to be provided by one or more resource providers, each of the plurality of core and non-core requestors to be associated with a resource-monitoring tag and a resource-control tag; a mapping table to store the resource monitoring and control tags associated with each non-core requestor; and a tagging circuitry to receive a resource request sent from a non-core requestor to a resource provider, the tagging circuitry to responsively modify the resource request to include the resource-monitoring and resource-control tags associated with the non-core requestor in accordance to the mapping table and send the modified resource request to the resource provider.

Abstract: 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.

Abstract: Systems and methods for cache allocation with code and data prioritization. An example system may comprise: a cache; a processing core, operatively coupled to the cache; and a cache control logic, responsive to receiving a cache fill request comprising an identifier of a request type and an identifier of a class of service, to identify a subset of the cache corresponding to a capacity bit mask associated with the request type and the class of service.

Abstract: Examples include techniques to meet quality of service (QoS) requirements for a fabric point to point connection. Examples include an application hosted by a compute node coupled with a fabric requesting bandwidth for a point to point connection through the fabric and the request being granted or not granted based at least partially on whether bandwidth is available for allocation to meet one or more QoS requirements.

Abstract: 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.

Abstract: Systems, methods, and apparatuses for resource monitoring identification reuse are described. In an embodiment, a system comprising a hardware processor core to execute instructions storage for a resource monitoring identification (RMID) recycling instructions to be executed by a hardware processor core, a logical processor to execute on the hardware processor core, the logical processor including associated storage for a RMID and state, are described.

Abstract: Methods and apparatus for accelerating VM-to-VM Network Traffic using CPU cache. A virtual queue manager (VQM) manages data that is to be kept in VM-VM shared data buffers in CPU cache. The VQM stores a list of VM-VM allow entries identifying data transfers between VMs that may use VM-VM cache “fast-path” forwarding. Packets are sent from VMs to the VQM for forwarding to destination VMs. Indicia in the packets (e.g., in a tag or header) is inspected to determine whether a packet is to be forwarded via a VM-VM cache fast path or be forwarded via a virtual switch. The VQM determines the VM data already in the CPU cache domain while concurrently coordinating with the data to and from the external shared memory, and also ensures data coherency between data kept in cache and that which is kept in shared memory.

Abstract: Embodiments of an invention interrupts between virtual machines are disclosed. In an embodiment, a processor includes an instruction unit and an execution unit, both implemented at least partially in hardware of the processor. The instruction unit is to receive an instruction to send an interrupt to a target virtual machine. The execution unit is to execute the instruction on a sending virtual machine without exiting the sending virtual machine. Execution of the instruction includes using a handle specified by the instruction to find a posted interrupt descriptor.

Abstract: Apparatus and methods implementing a hardware queue management device for reducing inter-core data transfer overhead by offloading request management and data coherency tasks from the CPU cores. The apparatus include multi-core processors, a shared L3 or last-level cache (“LLC”), and a hardware queue management device to receive, store, and process inter-core data transfer requests. The hardware queue management device further comprises a resource management system to control the rate in which the cores may submit requests to reduce core stalls and dropped requests. Additionally, software instructions are introduced to optimize communication between the cores and the queue management device.

Abstract: Systems and methods for cache allocation with code and data prioritization. An example system may comprise: a cache; a processing core, operatively coupled to the cache; and a cache control logic, responsive to receiving a cache fill request comprising an identifier of a request type and an identifier of a class of service, to identify a subset of the cache corresponding to a capacity bit mask associated with the request type and the class of service.

Abstract: Technologies for enforcing virtual machine network access control include a network computing device that includes a plurality of virtual machines. The network computing device is configured to receive an access request from a virtual function assigned to a requesting virtual machine of the network computing device. The network computing device is additionally configured to determine a first privilege level assigned to the requesting machine and a second privilege level assigned to the destination virtual machine, and determine whether the requesting virtual machine is authorized to access the destination virtual machine based on a comparison of the first and second privilege levels. Upon determining the requesting virtual machine is authorized to access the destination virtual machine, the network computing device is additionally configured to allow the requesting virtual machine access to the destination virtual machine. Other embodiments are described herein.

Abstract: 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.

Abstract: Systems and methods for cache allocation with code and data prioritization. An example system may comprise: a cache; a processing core, operatively coupled to the cache; and a cache control logic, responsive to receiving a cache fill request comprising an identifier of a request type and an identifier of a class of service, to identify a subset of the cache corresponding to a capacity bit mask associated with the request type and the class of service.