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    Distributed self-directed lock-free RDMA-based B-tree key-value manager
    12.
    发明授权
    Distributed self-directed lock-free RDMA-based B-tree key-value manager 有权

    公开(公告)号：US10713210B2

    公开(公告)日：2020-07-14

    申请号：US14882357

    申请日：2015-10-13

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Alexander Shamis ,  Yutaka Suzue

    IPC: G06F15/173 ,  G06F16/22 ,  H04L12/933 ,  H04L29/08

    Abstract: A “Key-Value Manager” applies an RDMA-based memory allocator to implement a distributed and lock-free B-Tree based key-value store. In various implementations, the Key-Value Manager is implemented as a standalone library running concurrently on large numbers of networked computing devices. The RDMA-based memory allocator of the Key-Value Manager allocates and accesses the memory of the key-value store via various sequences of RDMA messages (e.g., RDMA reads, RDMA writes, and RDMA atomic compare and swap (CAS) operations). As such, CPUs of computing devices hosting the memory of the key-value store do not need to be notified of or involved in RDMA-based reads and writes to that memory. Consequently, CPU utilization for any computing device that hosts any portion of the key-value store is minimal, thereby enabling the Key-Value Manager to scale to very large numbers of concurrent accesses by very large numbers of computing devices.

    Low latency RDMA-based distributed storage
    13.
    发明授权
    Low latency RDMA-based distributed storage 有权

    公开(公告)号：US10375167B2

    公开(公告)日：2019-08-06

    申请号：US14947473

    申请日：2015-11-20

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Alexander Shamis ,  Yutaka Suzue ,  Knut Magne Risvik

    IPC: H04L29/08 ,  G06F15/173 ,  G06F3/06

    Abstract: A “Distributed Storage Controller” applies an RDMA-based memory allocator to implement a distributed thread-safe and lock-free storage system in shared memory distributed across multiple networked computers. The Distributed Storage Controller enables any number of client applications, processes, subroutines, etc., on any number of networked computers to concurrently perform self-directed lock-free allocations, de-allocations, reads, writes, etc., on the shared memory via sequences of one-way RDMA messages (e.g., RDMA reads, RDMA writes, and RDMA atomic compare and swap (CAS) operations) without requiring CPU locks. As such, the CPUs of computing devices hosting the shared memory do not need to be notified of RDMA-based reads, writes or CAS operations on that memory. Consequently, CPU utilization for computing devices hosting any portion of the shared memory is minimal, thereby enabling the Distributed Storage Controller to scale to very large numbers of concurrent accesses by very large numbers of networked computing devices.

    LOW LATENCY RDMA-BASED DISTRIBUTED STORAGE
    15.
    发明申请
    LOW LATENCY RDMA-BASED DISTRIBUTED STORAGE 审中-公开

    公开(公告)号：US20170149890A1

    公开(公告)日：2017-05-25

    申请号：US14947473

    申请日：2015-11-20

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Alexander Shamis ,  Yutaka Suzue ,  Knut Magne Risvik

    IPC: H04L29/08 ,  G06F3/06 ,  G06F15/173

    CPC classification number: H04L67/1097 ,  G06F3/0611 ,  G06F3/0631 ,  G06F3/067 ,  G06F15/17331

    Abstract: A “Distributed Storage Controller” applies an RDMA-based memory allocator to implement a distributed thread-safe and lock-free storage system in shared memory distributed across multiple networked computers. The Distributed Storage Controller enables any number of client applications, processes, subroutines, etc., on any number of networked computers to concurrently perform self-directed lock-free allocations, de-allocations, reads, writes, etc., on the shared memory via sequences of one-way RDMA messages (e.g., RDMA reads, RDMA writes, and RDMA atomic compare and swap (CAS) operations) without requiring CPU locks. As such, the CPUs of computing devices hosting the shared memory do not need to be notified of RDMA-based reads, writes or CAS operations on that memory. Consequently, CPU utilization for computing devices hosting any portion of the shared memory is minimal, thereby enabling the Distributed Storage Controller to scale to very large numbers of concurrent accesses by very large numbers of networked computing devices.

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