Vmware, Inc.

Nicira, Inc.

Wmware, Inc.

Shilpi Agarwal

Lenin Singaravelu

Haoqiang Zheng

Garrett Cale Smith

Daniel Michael Hecht

Chien-Chia Chen

Ayyappan Veeraiyan

Wenyi Jiang

Rajeev Nair

Srikar Tati

Zongyun Lai

Subbarao Narahari

Jin Heo

Aditya Gajanana Holla

Dongdong Deng

Aditya G Holla

An approach for a dynamic provisioning of multiple RSS engines is provided. In an embodiment, a method comprises monitoring a CPU usage of hardware queues implemented in a plurality of RSS pools, and determining whether a CPU usage of any hardware queue, implemented in a particular RSS pool of the plurality of RSS pools, has increased above a threshold value. In response to determining that a CPU usage of a particular hardware queue, implemented in the particular RSS pool, has increased above the threshold value, it is determined whether the particular RSS pool includes an unused hardware queue (a queue with light CPU usage). If such an unused hardware queue is presented, then an indirection table that is associated with the particular RSS pool is modified to remap one or more data flows from the particular hardware queue to the unused hardware queue.

Dynamic provisioning of multiple RSS engines

In one embodiment, a method selects a percentage of a plurality hosts that are coupled together via a network fabric and calculates a number of workloads needed for the percentage of hosts based on a benchmark test to run. A plurality of data compute nodes are configured on one or more host pairs in the percentage of the plurality of hosts to send and receive the number of workloads through the network fabric to perform the benchmark test. A set of measurements is received for sending and receiving the workloads through the network fabric using the plurality of data compute nodes. The method increases the percentage of the plurality of hosts until the set of measurements fails a criteria or the percentage of the plurality of hosts is all of the plurality of hosts.

Control of a computing system to perform network fabric benchmark measurements

A host computer has a plurality of containers including a first container executing therein, where the host also includes a physical network interface controller (NIC). A packet handling interrupt is detected upon receipt of a first data packet associated with the first container. If the first virtual machine is latency sensitive, then the packet handling interrupt is processed. If the first virtual machine is not latency sensitive, then the first data packet is queued and and processing of the packet handling interrupt is delayed.

Networking stack of virtualization software configured to support latency sensitive virtual machines

A host computer has a virtualization software that supports execution of a plurality of virtual machines, where the virtualization software includes a virtual machine monitor for each of the virtual machines, and where each virtual machine monitor emulates a virtual central processing unit (CPU) for a corresponding virtual machine. A virtual machine monitor halts execution of a virtual CPU of a virtual machine by receiving a first halt instruction from a corresponding virtual machine and determining whether the virtual machine is latency sensitive. If the virtual machine is latency sensitive, then a second halt instruction is issued from the virtual machine monitor to halt a physical CPU on which the virtual CPU executes. If the virtual machine is not latency sensitive, then a system call to a kernel executing on the host computer is executed to indicate to the kernel that the virtual CPU is in an idle state.

Virtual machine monitor configured to support latency sensitive virtual machines

A host computer has one or more physical central processing units (CPUs) that support the execution of a plurality of containers, where the containers each include one or more processes. Each process of a container is assigned to execute exclusively on a corresponding physical CPU when the corresponding container is determined to be latency sensitive. The assignment of a process to execute exclusively on a corresponding physical CPU includes the migration of tasks from the corresponding physical CPU to one or more other physical CPUs of the host system, and the directing of task and interrupt processing to the one or more other physical CPUs. Tasks of of the process corresponding to the container are then executed on the corresponding physical CPU.

CPU scheduler configured to support latency sensitive virtual machines

Some embodiments provide a queue management system that efficiently and dynamically manages multiple queues that process traffic to and from multiple virtual machines (VMs) executing on a host. This system manages the queues by (1) breaking up the queues into different priority pools with the higher priority pools reserved for particular types of traffic or VM (e.g., traffic for VMs that need low latency), (2) dynamically adjusting the number of queues in each pool (i.e., dynamically adjusting the size of the pools), (3) dynamically reassigning a VM to a new queue based on one or more optimization criteria (e.g., criteria relating to the underutilization or overutilization of the queue).

Traffic and load aware dynamic queue management

A host computer has a plurality of containers including a first container executing therein, where the host also includes a physical network interface controller (NIC). A packet handling interrupt is detected upon receipt of a first data packet associated with the first container If the first virtual machine is latency sensitive, then the packet handling interrupt is processed. If the first virtual machine is not latency sensitive, then the first data packet is queued and processing of the packet handling interrupt is delayed.

A host computer has one or more physical central processing units (CPUs) that support the execution of a plurality of containers, where the containers each include one or more processes. Each process of a container is assigned to execute exclusively on a corresponding physical CPU when the corresponding container is determined to be latency sensitive. The assignment of a process to execute exclusively on a corresponding physical CPU includes the migration of tasks from the corresponding physical CPU to one or more other physical CPUs of the host system, and the directing of task and interrupt processing to the one or more other physical CPUs. Tasks of the process corresponding to the container are then executed on the corresponding physical CPU.

A host computer has a plurality of virtual machines executing therein under the control of a hypervisor, where the host also includes a physical network interface controller (NIC). An interrupt controller detects an interrupt generated by the physical NIC, where the interrupt corresponds to a virtual machine. If the virtual machine has exclusive affinity to one or more physical central processing units (CPUs), then the interrupt is forwarded to the virtual machine. If the virtual machine does not have exclusive affinity, then a process in the hypervisor is invoked to forward the interrupt to the virtual machine.

Growing community of inventors

San Mateo, CA, United States of America

Shilpi Agarwal