Abstract: In a computing system, an application thread is executed on a hardware thread. Based on a configuration of the computing system, a first threshold is determined comprising a threshold percentage of execution time spent servicing a set of interrupts to the application thread relative to a total execution time for the hardware thread. For the hardware thread, a length of a first time period spent servicing an interrupt in the set of interrupts and a length of a second time period spent executing the application thread are measured. A cumulative percentage of execution time spent in the first time period relative to execution time spent in the first time period and the second time period is calculated. Responsive to the cumulative percentage being above the threshold percentage, interrupt servicing on the hardware thread is disabled.

Abstract: Within an interrupt routing structure, an interrupt handler is registered, the registering comprising storing a pointer to the interrupt handler in the interrupt routing structure. Responsive to determining that a received interrupt comprises a queuing bypass flag in a set state, the interrupt handler is executed, the executing bypassing an interrupt queueing mechanism.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter. A frequency of use of the multicast filtering address is determined and, based on the frequency of use of the multicast filtering address, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of a respective virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines. A priority of the multicast filtering address is determined and, based on the priority, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines. An amount of filtering data is determined corresponding to the at least one virtual machine and, based on the amount of the filtering data corresponding to the at least one virtual machine, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines of a computer system. Responsive to receiving the multicast filtering address, a determination is made whether a multicast filtering store of the network adapter is full. Responsive to determining that the multicast filtering store of the network adapter is full, the multicast filtering address is stored in a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, hardware resources are virtualized to provide a plurality of virtual machines where a number of the virtual machines are configured to receive multicast messages. A network adapter is configured to receive a multicast filtering address from at least one of the number of virtual machines and hash the multicast filtering address to create a hash value. The hash value is linked to the virtual machine via a memory entry.

Abstract: In a computing system, an application thread is executed on a hardware thread. Based on a configuration of the computing system, a first threshold is determined comprising a threshold percentage of execution time spent servicing a set of interrupts to the application thread relative to a total execution time for the hardware thread. For the hardware thread, a length of a first time period spent servicing an interrupt in the set of interrupts and a length of a second time period spent executing the application thread are measured. A cumulative percentage of execution time spent in the first time period relative to execution time spent in the first time period and the second time period is calculated. Responsive to the cumulative percentage being above the threshold percentage, interrupt servicing on the hardware thread is disabled.

Abstract: A method and technique for communications over multiple protocol interfaces in a computing environment includes identifying a first communications protocol of a network interface for ingress data packet communications. Responsive to the identified first communications protocol of the network interface differing from a second communications protocol used for the data packet communications, fragmentation data according to a data packet fragmentation protocol corresponding to the second communications protocol is derived from an application layer header of the data packet communications. A logical packet is re-assembled from the data packet communications using the data packet fragmentation protocol and the fragmentation data.

Abstract: An apparatus, method, program product, and system are disclosed for evicting pages from memory using a neural network. One embodiment of a method for evicting pages from memory using a neural network includes determining state information related to evicting pages from memory. The state information may be determined by a dedicated hardware snooping device that snoops a system bus for the state information. The method includes determining an identifier for a page in memory to be evicted using a neural network. The neural network performs machine learning operations on the state information to identify the page in memory to be evicted. The method includes locating the identified page in memory using the identifier determined by the neural network and evicting the identified page from memory.

Abstract: An apparatus, method, program product, and system are disclosed for evicting pages from memory using a neural network. A state module determines state information related to evicting pages from memory. The state information may be determined by a dedicated hardware snooping device that snoops a system bus for the state information. A learning module determines an identifier for a page in memory to be evicted using a neural network. The neural network may perform machine learning operations on the state information to identify the page in memory to be evicted. An eviction module locates the identified page in memory using the identifier determined by the neural network and evicts the identified page from memory.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, hardware resources are virtualized to provide a plurality of virtual machines where a number of the virtual machines are configured to receive multicast messages. A network adapter is configured to receive a multicast filtering address from at least one of the number of virtual machines and hash the multicast filtering address to create a hash value. The hash value is linked to the virtual machine via a memory entry.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines of a computer system. Responsive to receiving the multicast filtering address, a determination is made whether a multicast filtering store of the network adapter is full. Responsive to determining that the multicast filtering store of the network adapter is full, the multicast filtering address is stored in a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines. An amount of filtering data is determined corresponding to the at least one virtual machine and, based on the amount of the filtering data corresponding to the at least one virtual machine, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter. A frequency of use of the multicast filtering address is determined and, based on the frequency of use of the multicast filtering address, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of a respective virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In one implementation, a multicast filtering address is received by a network adapter from at least one of a number of virtual machines. A priority of the multicast filtering address is determined and, based on the priority, the multicast filtering address is stored in either a multicast filtering store of the network adapter or a local filtering store of the at least one virtual machine.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In particular implementations, a system, process, and product for filtering multicast messages in virtual environments may include the ability to, responsive to receiving a multicast message including a destination address, examine a local filtering store of the network adapter for a multicast filtering address matching the destination address. The message is sent to respective virtual machines if the destination address matches the multicast filtering address found in the local filtering store for the respective virtual machines. Responsive to determining that the destination address does not match any multicast filtering address found in the local filtering store, a determination is made whether the local filtering store is full and, if so, the multicast message is dropped.

Abstract: An apparatus, method, program product, and system are disclosed for evicting pages from memory using a neural network. A state module determines state information related to evicting pages from memory. The state information may be determined by a dedicated hardware snooping device that snoops a system bus for the state information. A learning module determines an identifier for a page in memory to be evicted using a neural network. The neural network may perform machine learning operations on the state information to identify the page in memory to be evicted. An eviction module locates the identified page in memory using the identifier determined by the neural network and evicts the identified page from memory.

Abstract: An apparatus, method, program product, and system are disclosed for evicting pages from memory using a neural network. One embodiment of a method for evicting pages from memory using a neural network includes determining state information related to evicting pages from memory. The state information may be determined by a dedicated hardware snooping device that snoops a system bus for the state information. The method includes determining an identifier for a page in memory to be evicted using a neural network. The neural network performs machine learning operations on the state information to identify the page in memory to be evicted. The method includes locating the identified page in memory using the identifier determined by the neural network and evicting the identified page from memory.

Abstract: Various systems, processes, and products may be used to filter multicast messages in virtual environments. In particular implementations, a system, process, and product for filtering multicast messages in virtual environments may include the ability to, responsive to receiving a multicast message including a destination address, examine a local filtering store of the network adapter for a multicast filtering address matching the destination address. The message is sent to respective virtual machines if the destination address matches the multicast filtering address found in the local filtering store for the respective virtual machines. Responsive to determining that the destination address does not match any multicast filtering address found in the local filtering store, a determination is made whether the local filtering store is full and, if so, the multicast message is dropped.