公开(公告)号：US20170351437A1

公开(公告)日：2017-12-07

申请号：US15174631

申请日：2016-06-06

Applicant: VMware, Inc.

Inventor： Adrian Marinescu ,  Thorbjoern Donbaek

IPC: G06F3/06

CPC classification number: G06F3/0611 ,  G06F3/0613 ,  G06F3/0635 ,  G06F3/067 ,  G06F3/0685 ,  G06F9/45533 ,  G06F9/45545

Abstract: The current document is directed to a storage stack subsystem of a computer system that transfers data between memory and various data-storage devices and subsystems and that processes I/O requests at a greater rate than conventional storage stacks. In one implementation, the disclosed storage stack includes a latency monitor, an I/O-scheduling bypass pathway, and short-circuit switch, controlled by the latency monitor. While the latency associated with I/O-request execution remains below a threshold latency, I/O-scheduling components of the storage stack are bypassed, with I/O requests routed directly to multiple input queues associated with one or more high-throughput multi-queue I/O device controllers. When the latency for execution of I/O requests rises above the threshold latency, I/O requests are instead directed to I/O-scheduling components of the storage stack, which attempt to optimally reorganize the incoming I/O-request stream and optimally distribute I/O-requests among multiple input queues associated I/O device controllers.

公开(公告)号：US10108349B2

公开(公告)日：2018-10-23

申请号：US15174631

申请日：2016-06-06

Applicant: VMware, Inc.

Inventor： Adrian Marinescu ,  Thorbjoern Donbaek

IPC: G06F12/00 ,  G06F3/06 ,  G06F9/455

Abstract: The current document is directed to a storage stack subsystem of a computer system that transfers data between memory and various data-storage devices and subsystems and that processes I/O requests. In one implementation, the disclosed storage stack includes a latency monitor, an I/O-scheduling bypass pathway, and short-circuit switch, controlled by the latency monitor. While the latency associated with I/O-request execution remains below a threshold latency, I/O-scheduling components of the storage stack are bypassed, with I/O requests routed directly to multiple input queues associated with one or more high-throughput multi-queue I/O device controllers. When the latency for execution of I/O requests rises above the threshold latency, I/O requests are instead directed to I/O-scheduling components of the storage stack, which attempt to optimally reorganize the incoming I/O-request stream and optimally distribute I/O-requests among multiple input queues associated I/O device controllers.