Abstract: Embodiments of network processing resource management in computing devices are disclosed therein. In one embodiment, a method includes receiving a request from a network interface controller to perform network processing operations at a first core of a main processor for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes determining whether the first core has a utilization level higher than a threshold when performing the network processing operations to effect processing and transmission of the packets. If the first core has a utilization level higher than the threshold, the method includes issuing a command to the network interface to modify affinitization of the queue from the first core to a second core having a utilization level lower than the threshold.

Abstract: Provided are methods for producing bimodal polyolefins comprising the steps of contacting ?-olefin monomers with a catalyst in slurry polymerization conditions in the presence of zero to minimum hydrogen to produce a high molecular weight polyolefin and contacting additional ?-olefin monomers in gas phase polymerization conditions and the high molecular weight polyolefin and the catalyst to produce bimodal polyolefin having high stiffness and broad molecular weight distribution. An additional step of polymerizing the bimodal polyolefin with a comonomer in a second gas phase can provide a bimodal impact copolymer having high stiffness and broad molecular weight distribution. Among the advantages of the present methods, bimodal polyolefins can be produced in a continuous process between a slurry polymerization reactor and a gas phase polymerization reactor without a venting step in between and with minimal hydrogen in the slurry polymerization reactor.

Abstract: Embodiments of hybrid network processing load distribution in a computing device are disclosed therein. In one embodiment, a method includes receiving, at a main processor, an indication from the network interface controller to perform network processing operations for first and second packets in a queue of a virtual port of the network interface controller, and in response to receiving the request, assigning multiple cores for performing the network processing operations for the first and second packets, respectively. The method also includes performing the network processing operations at the multiple cores to effect processing and transmission of the first and second packets to first and second applications, respectively, both the first and second applications executing in a virtual machine hosted on the computing device.

Abstract: Embodiments of network processing resource management in computing devices are disclosed therein. In one embodiment, a method includes receiving a request from a network interface controller to perform network processing operations at a first core of a main processor for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes determining whether the first core has a utilization level higher than a threshold when performing the network processing operations to effect processing and transmission of the packets. If the first core has a utilization level higher than the threshold, the method includes issuing a command to the network interface to modify affinitization of the queue from the first core to a second core having a utilization level lower than the threshold.

Abstract: Embodiments of network processing resource management in computing devices are disclosed therein. An example method includes receiving a request from a network interface controller to perform network processing operations at a first core of a main processor for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes determining whether the first core has a utilization level higher than a threshold when performing the network processing operations to effect processing and transmission of the packets. If the first core has a utilization level higher than the threshold, the method includes issuing a command to the network interface to modify affinitization of the queue from the first core to a second core having a utilization level lower than the threshold.

Abstract: Techniques of network traffic management in a computing device are disclosed. One example method includes receiving, at a main processor, a request from a network interface controller to perform network processing operations for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes, in response to receiving the request, causing one of multiple cores of the main processor with which the queue of the virtual port is affinitized to perform the network processing operations to effect processing and transmission of the packets to an application executing in a virtual machine hosted on the computing device.

Abstract: Embodiments of hybrid network processing load distribution in a computing device are disclosed therein. In one embodiment, a method includes receiving, at a main processor, an indication from the network interface controller to perform network processing operations for first and second packets in a queue of a virtual port of the network interface controller, and in response to receiving the request, assigning multiple cores for performing the network processing operations for the first and second packets, respectively. The method also includes performing the network processing operations at the multiple cores to effect processing and transmission of the first and second packets to first and second applications, respectively, both the first and second applications executing in a virtual machine hosted on the computing device.

Abstract: Micro-schedulers control bandwidth allocation for clients, each client subscribing to a respective predefined portion of bandwidth of an outgoing communication link. A macro-scheduler controls the micro-schedulers, by allocating the respective subscribed portion of bandwidth associated with each respective client that is active, by a predefined first deadline, with residual bandwidth that is unused by the respective clients being shared proportionately among respective active clients by a predefined second deadline, while minimizing coordination among micro-schedulers by the macro-scheduler periodically adjusting respective bandwidth allocations to each micro-scheduler.

Abstract: Embodiments of hybrid network processing load distribution in a computing device are disclosed therein. In one embodiment, a method includes receiving, at a main processor, an indication from the network interface controller to perform network processing operations for first and second packets in a queue of a virtual port of the network interface controller, and in response to receiving the request, assigning first and second cores for performing the network processing operations for the first and second packets, respectively. The method also includes performing the network processing operations at the first and second cores to effect processing and transmission of the first and second packets to first and second applications, respectively, both the first and second applications executing in a virtual machine hosted on the computing device.

Abstract: Micro-schedulers control bandwidth allocation for clients, each client subscribing to a respective predefined portion of bandwidth of an outgoing communication link. A macro-scheduler controls the micro-schedulers, by allocating the respective subscribed portion of bandwidth associated with each respective client that is active, by a predefined first deadline, with residual bandwidth that is unused by the respective clients being shared proportionately among respective active clients by a predefined second deadline, while minimizing coordination among micro-schedulers by the macro-scheduler periodically adjusting respective bandwidth allocations to each micro-scheduler.

Abstract: Micro-schedulers control bandwidth allocation for clients, each client subscribing to a respective predefined portion of bandwidth of an outgoing communication link. A macro-scheduler controls the micro-schedulers, by allocating the respective subscribed portion of bandwidth associated with each respective client that is active, by a predefined first deadline, with residual bandwidth that is unused by the respective clients being shared proportionately among respective active clients by a predefined second deadline, while minimizing coordination among micro-schedulers by the macro-scheduler periodically adjusting respective bandwidth allocations to each micro-scheduler.

Abstract: Embodiments of network processing resource management in computing devices are disclosed therein. In one embodiment, a method includes receiving a request from a network interface controller to perform network processing operations at a first core of a main processor for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes determining whether the first core has a utilization level higher than a threshold when performing the network processing operations to effect processing and transmission of the packets. If the first core has a utilization level higher than the threshold, the method includes issuing a command to the network interface to modify affinitization of the queue from the first core to a second core having a utilization level lower than the threshold.

Abstract: Embodiments of network traffic management in a computing device are disclosed therein. In one embodiment, a method includes receiving, at a main processor, a request from a network interface controller to perform network processing operations for packets assigned by the network interface controller to a queue of a virtual port of the network interface controller. The method also includes, in response to receiving the request, causing one of multiple cores of the main processor with which the queue of the virtual port is affinitized to perform the network processing operations to effect processing and transmission of the packets to an application executing in a virtual machine hosted on the computing device.

Abstract: Embodiments of hybrid network processing load distribution in a computing device are disclosed therein. In one embodiment, a method includes receiving, at a main processor, an indication from the network interface controller to perform network processing operations for first and second packets in a queue of a virtual port of the network interface controller, and in response to receiving the request, assigning first and second cores for performing the network processing operations for the first and second packets, respectively. The method also includes performing the network processing operations at the first and second cores to effect processing and transmission of the first and second packets to first and second applications, respectively, both the first and second applications executing in a virtual machine hosted on the computing device.

Abstract: Micro-schedulers control bandwidth allocation for clients, each client subscribing to a respective predefined portion of bandwidth of an outgoing communication link. A macro-scheduler controls the micro-schedulers, by allocating the respective subscribed portion of bandwidth associated with each respective client that is active, by a predefined first deadline, with residual bandwidth that is unused by the respective clients being shared proportionately among respective active clients by a predefined second deadline, while minimizing coordination among micro-schedulers by the macro-scheduler periodically adjusting respective bandwidth allocations to each micro-scheduler.