公开(公告)号：US20180267991A1

公开(公告)日：2018-09-20

申请号：US15615848

申请日：2017-06-07

Applicant: VMWARE, INC.

Inventor： ASIT DESAI ,  Prasanna AITHAL ,  Bryan BRANSTETTER ,  Rohan PASALKAR ,  Prasad Rao JANGAM ,  Mahesh S. HIREGOUDAR ,  Pradeep KRISHNAMURTHY ,  Srinivasa SHANTHARAM

IPC: G06F17/30

CPC classification number: G06F16/188 ,  G06F9/45558 ,  G06F16/11 ,  G06F16/137 ,  G06F2009/45583

Abstract: The systems described herein are configured to enhance the efficiency of memory usage and access in a VM file system data store with respect to allocating memory in large and small file block clusters using affinity metadata and propagating and maintaining the affinity metadata in support of the described allocation. In order to maintain affinity metadata of the large file block cluster, affinity generation values stored on the large file block cluster are read and cached affinity generation values for each small file block cluster are read from an in-memory cache associated with the large file block cluster. When the stored affinity generation values and the cached affinity generation values do not match, affinity metadata from all the small file block clusters associated with the large file block cluster is used to update the affinity metadata of the large file block cluster and the associated cache.

公开(公告)号：US20210004162A1

公开(公告)日：2021-01-07

申请号：US17029851

申请日：2020-09-23

Applicant: VMware, Inc.

Inventor： Pradeep KRISHNAMURTHY ,  Prasanna AITHAL

IPC: G06F3/06

Abstract: The disclosure herein describes managing a rate of processing unmap requests for a data storage volume. Unmap requests are received from a cluster of active hosts that are associated with the data storage volume. Latency data values of each active host are then accessed. A long-term cluster latency average value is calculated based on the accessed latency data values of all active hosts over a long-term time period and a short-term cluster latency average value is calculated based on the accessed latency data values of all active hosts over a short-term time period. An unmap rate adjustment value is calculated based on a difference between the long-term cluster latency average value and the short-term cluster latency average value. The rate of processing unmap requests for the data storage volume is adjusted based on the unmap rate adjustment value and the unmap requests are performed based on the adjusted rate.

公开(公告)号：US20200341894A1

公开(公告)日：2020-10-29

申请号：US16926336

申请日：2020-07-10

Applicant: VMware, Inc.

Inventor： Pradeep KRISHNAMURTHY ,  Prasanna AITHAL ,  Asit DESAI ,  Bryan BRANSTETTER ,  Mahesh S. HIREGOUDAR ,  Prasad Rao JANGAM ,  Rohan PASALKAR ,  Srinivasa SHANTHARAM ,  Raghavan PICHAI

IPC: G06F12/02 ,  G06F9/455 ,  G06F3/06

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reclaiming one or more portions of storage resources in a computer system serving one or more virtual computing instances, where the storage resources in the computer system are organized in clusters of storage blocks. In one aspect, a method includes maintaining a respective block tracking value for each storage block that indicates whether a call to reclaim the storage block is outstanding; determining, from the block tracking values, a respective cluster priority value for each of the clusters based on a count of storage blocks in the respective cluster for which a call to reclaim is outstanding; and reclaiming a first portion of storage resources in the computer system in accordance with the cluster priority values.