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    TRACKING GUEST MEMORY CHARACTERISTICS FOR MEMORY SCHEDULING
    82.
    发明申请
    TRACKING GUEST MEMORY CHARACTERISTICS FOR MEMORY SCHEDULING 有权
    跟踪用于记忆调度的记忆特征

    公开(公告)号：US20150161056A1

    公开(公告)日：2015-06-11

    申请号：US14101796

    申请日：2013-12-10

    Applicant: VMware, Inc.

    Inventor： Xavier DEGUILLARD ,  Ishan Banerjee ,  Qasim Ali ,  Yury Baskakov ,  Kiran Tati ,  Rajesh Venkatasubramanian

    IPC: G06F12/10 ,  G06F9/455

    CPC classification number: G06F9/455 ,  G06F9/45558 ,  G06F9/5016 ,  G06F9/5077 ,  G06F2009/45583 ,  G06F2212/152

    Abstract: A system and method are disclosed for improving operation of a memory scheduler operating on a host machine supporting virtual machines (VMs) in which guest operating systems and guest applications run. For each virtual machine, the host machine hypervisor categorizes memory pages into memory usage classes and estimates the total number of pages for each memory usage class. The memory scheduler uses this information to perform memory reclamation and allocation operations for each virtual machine. The memory scheduler further selects between ballooning reclamation and swapping reclamation operations based in part on the numbers of pages in each memory usage class for the virtual machine. Calls to the guest operating system provide the memory usage class information. Memory reclamation not only can improve the performance of existing VMs, but can also permit the addition of a VM on the host machine without substantially impacting the performance of the existing and new VMs.

    Abstract translation: 公开了一种系统和方法，用于改进在支持客机操作系统和来宾应用运行的虚拟机（VM）的主机上运行的存储器调度器的操作。 对于每个虚拟机，主机管理程序将内存页分为内存使用类，并估计每个内存使用类的总页数。 内存调度器使用该信息为每个虚拟机执行内存回收和分配操作。 存储器调度器还部分地基于虚拟机的每个存储器使用类别中的页数来选择气球回收和交换回收操作之间。 对客户机操作系统的调用提供了内存使用类信息。 内存回收不仅可以提高现有虚拟机的性能，还可以允许在主机上添加虚拟机，而不会对现有和新的虚拟机造成实质性的影响。

    Scheduling workloads in a container orchestrator of a virtualized computer system
    83.
    发明授权
    Scheduling workloads in a container orchestrator of a virtualized computer system 有权

    公开(公告)号：US12190140B2

    公开(公告)日：2025-01-07

    申请号：US17154776

    申请日：2021-01-21

    Applicant: VMware, Inc.

    Inventor： Pranshu Jain ,  Maarten Wiggers ,  Rajesh Venkatasubramanian ,  Sahan Bamunavita Gamage

    IPC: G06F9/455 ,  G06F9/48

    Abstract: An example method of scheduling a workload in a virtualized computing system including a host cluster having a virtualization layer directly executing on hardware platforms of hosts is described. The virtualization layer supports execution of virtual machines (VMs) and is integrated with an orchestration control plane. The method includes: receiving, at the orchestration control plane, a workload specification for the workload; selecting, at the orchestration control plane, a plurality of nodes for the workload based on the workload specification, each of the plurality of nodes implemented by a host of the hosts; selecting, by the orchestration control plane in cooperation with a virtualization management server managing the host cluster, a node of the plurality of nodes; and deploying, by the orchestration control plane in cooperation with the virtualization management server, the workload on a host in the host cluster implementing the selected node.

    REMOTE DIRECT MEMORY ACCESS (RDMA)-BASED RECOVERY OF DIRTY DATA IN REMOTE MEMORY
    85.
    发明公开
    REMOTE DIRECT MEMORY ACCESS (RDMA)-BASED RECOVERY OF DIRTY DATA IN REMOTE MEMORY 审中-公开

    公开(公告)号：US20230315593A1

    公开(公告)日：2023-10-05

    申请号：US18331019

    申请日：2023-06-07

    Applicant: VMware, Inc.

    Inventor： Keerthi Kumar ,  Halesh Sadashiv ,  Sairam Veeraswamy ,  Rajesh Venkatasubramanian ,  Kiran Dikshit ,  Kiran Tati

    IPC: G06F11/20 ,  G06F15/173

    CPC classification number: G06F11/2046 ,  G06F11/2094 ,  G06F15/17331 ,  G06F11/2023 ,  G06F11/2038 ,  G06F2201/85

    Abstract: Techniques for implementing RDMA-based recovery of dirty data in remote memory are provided. In one set of embodiments, upon occurrence of a failure at a first (i.e., source) host system, a second (i.e., failover) host system can allocate a new memory region corresponding to a memory region of the source host system and retrieve a baseline copy of the memory region from a storage backend shared by the source and failover host systems. The failover host system can further populate the new memory region with the baseline copy and retrieve one or more dirty page lists for the memory region from the source host system via RDMA, where the one or more dirty page lists identify memory pages in the memory region that include data updates not present in the baseline copy. For each memory page identified in the one or more dirty page lists, the failover host system can then copy the content of that memory page from the memory region of the source host system to the new memory region via RDMA.

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