Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling; resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: In an approach to collecting and processing performance metrics, one or more computer processors assign an identifier corresponding to a first workload associated with a first virtual machine. The one or more computer processors record resource consumption data of at least one processor at a performance monitoring interrupt. The one or more computer processors create a relational association of the first workload and the first virtual machine to the resource consumption data of the at least one processor. The one or more computer processors determine if the first workload is complete. Responsive to determining that the first workload is not complete, the one or more computer processors calculate a difference in recorded resource consumption data between the performance monitoring interrupt and a previous performance monitoring interrupt.

Abstract: A scheduler allocating a task to a socket, where the socket comprises a plurality of processor cores and a micro code engine. The scheduler receives metrics from the micro code engine, where the metrics are calculated by the micro code engine based on data receive from an event counter located on each of the plurality of processor cores. The scheduler determines whether a socket level load is below a socket threshold. Based on determining that the socket level load is below the socket threshold value, the scheduler determines whether a core level load is below a core threshold value. Based on determining that the core level load is below the core threshold value, the scheduler determines whether there is an available thread and based on determining that there is an available thread, the scheduler assigns the task to the available thread.

Abstract: A scheduler allocating a task to a socket, where the socket comprises a plurality of processor cores and a micro code engine. The scheduler receives metrics from the micro code engine, where the metrics are calculated by the micro code engine based on data receive from an event counter located on each of the plurality of processor cores. The scheduler determines whether a socket level load is below a socket threshold. Based on determining that the socket level load is below the socket threshold value, the scheduler determines whether a core level load is below a core threshold value. Based on determining that the core level load is below the core threshold value, the scheduler determines whether there is an available thread and based on determining that there is an available thread, the scheduler assigns the task to the available thread.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling; resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: Reduction of memory power consumption in virtual memory systems that have a combination of different types of physical memory devices working together in a system's primary memory to achieve performance with optimum reductions in power consumption by storing in the virtual memory in the kernel, topology data for each of the different memory devices used.

Abstract: A method, system and computer program product for managing requests for deferred updates to shared data elements while minimizing grace period detection overhead associated with determining whether pre-existing references to the data elements have been removed. Plural update requests that are eligible for grace period detection are buffered without performing grace period detection processing. One or more conditions that could warrant commencement of grace period detection processing are monitored while the update requests are buffered. If warranted by such a condition, grace period detection is performed relative to the update requests so that they can be processed. In this way, grace period detection overhead can be amortized over plural update requests while being sensitive to conditions warranting prompt grace period detection.

Abstract: A technique for optimizing program instruction execution throughput in a central processing unit core (CPU). The CPU implements a simultaneous multithreading (SMT) operational mode wherein program instructions associated with at least two software threads are executed in parallel as hardware threads while sharing one or more hardware resources used by the CPU, such as cache memory, translation lookaside buffers, functional execution units, etc. As part of the SMT mode, the CPU implements an autothread (AT) operational mode. During the AT operational mode, a determination is made whether there is a resource conflict between the hardware threads that undermines instruction execution throughput. If a resource conflict is detected, the CPU adjusts the relative instruction execution rates of the hardware threads based on relative priorities of the software threads.

Abstract: A technique for optimizing program instruction execution throughput in a central processing unit core (CPU). The CPU implements a simultaneous multithreading (SMT) operational mode wherein program instructions associated with at least two software threads are executed in parallel as hardware threads while sharing one or more hardware resources used by the CPU, such as cache memory, translation lookaside buffers, functional execution units, etc. As part of the SMT mode, the CPU implements an autothread (AT) operational mode. During the AT operational mode, a determination is made whether there is a resource conflict between the hardware threads that undermines instruction execution throughput. If a resource conflict is detected, the CPU adjusts the relative instruction execution rates of the hardware threads based on relative priorities of the software threads.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.

Abstract: A system and method for providing quality of service during live migration includes determining one or more quality of service (QoS) specifications for one or more virtual machines (VMs) to be live migrated. Based on the one or more QoS specifications, a QoS is applied to a live migration of the one or more VMs by controlling resources including at least one of live migration network characteristics and VM execution parameters.