International Business Machines Corporation

Amanda A Liem

Matthew Ryan Ochs

Brian Frank Veale

Juan M Casas, Jr

Brendan M Wong

Lennard G Streat

Caleb Russell Olson

In an embodiment, a guest operating system (OS) running on a virtual machine (VM) detects a VM migration, where the embodiment comprises storing, by the guest OS, a VM identifier (VMID) provided by the VM and a first host identifier (HID) provided by a host computer system in a computer memory. The embodiment also comprises determining, by the guest OS, that the VM performs migrations that are transparent to the guest OS. The embodiment further comprises detecting, by the guest OS, that the VM has been migrated based on a comparison of the first HID to a second HID provided to the guest OS in response to an HID request from the guest OS.

Virtual machine migration detection by a hosted operating system

For a process of an operating system, it is detected that a live migration has occurred, the live migration comprising a change in a hardware characteristic of a computer system on which the process executes. A first message is broadcast to a set of processors, the first message causing each processor in the set of processors to enter a waiting state. While each of the set of processors is in the waiting state, a portion of a set of program instructions of the operating system is modified.

Operating system code patching during live migration

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.

Memory page eviction using a neural network

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.

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Austin, TX, United States of America

Amanda A Liem