Deepavali M Bhagwat

20100280997, Nov 4, 2010

Apr 30, 2009

12/432807

Mark David Lillibridge - Mountain View CA, US
Kave Eshghi - Los Altos CA, US
Deepavali Mahendra Bhagwat - Mountain View CA, US
Vinay Deolalikar - Cupertino CA, US

G06F 17/30

707652, 707E17044, 707E17032, 707E17001

A plurality of differential data stores are stored in persistent storage media. In response to receiving a first request to store a particular data object, one of the differential data stores that are stored in the persistent storage media is selected, wherein selecting the one differential data store is according to a criterion relating to compression of data objects in the differential data stores. The selected differential data store is copied into temporary storage media, where the copying is not delayed after receiving the first request to await receipt of more requests. The particular data object is inserted into the copy of the selected differential data store in the temporary storage media, where the inserting is performed without having to retrieve more data from the selected differential store in the persistent storage media. The selected differential data store in the persistent storage media is replaced with the copy of the selected differential data store in the temporary storage media that has been modified.

20100223441, Sep 2, 2010

May 11, 2010

12/777478

MARK DAVID LILLIBRIDGE - Mountain View CA, US
Deepavali Mahendra Bhagwat - Mountain View CA, US
Peter Thomas Camble - Bristol, GB
Gregory Trezise - Wells, GB

G06F 12/02
G06F 12/00

711165, 711170, 711E12001, 711E12009, 711E12002

Chunks are stored in a container of a data store, where the chunks are produced by dividing input data as part of a deduplication process. In response to determining that the size of the container has reached a predefined size threshold, at least one of the chunks in the container is moved to another container.

20220187990, Jun 16, 2022

Dec 15, 2020

17/121799

- Armonk NY, US
Felipe Knop - Lagrangeville NY, US
Enci Zhong - Poughkeepsie NY, US
Frank Schmuck - Campbell CA, US
DEEPAVALI M. BHAGWAT - Cupertino CA, US
Hai Zhong Zhou - Beijing, CN

G06F 3/06

A method for executing operation requests includes formatting one or more storage devices and selecting one or more labeled replicas and one or more distinguished replicas, receiving an operation request with respect to a set of data blocks, identifying a preferred replica corresponding to the received operation request, determining whether the replication-pending bits for the preferred replica are set, and executing the received operation request with respect to the corresponding distinguished replica. A method for executing a write operation request additionally includes setting replication-pending bits with respect to the labeled replica, wherein the replication-pending bits indicate an incomplete write request, writing data to both a labeled replica and a distinguished replica, and clearing the replication-pending bits with respect to the labeled replica to indicate the completion of the write operation. A method for executing a read operation additionally includes identifying a preferred replica with respect to the received read request.

20210374073, Dec 2, 2021

May 29, 2020

16/888251

- Armonk NY, US
D Scott Guthridge - San Jose CA, US
Frank Schmuck - Campbell CA, US
Owen T. Anderson - Bellevue WA, US
Deepavali M. Bhagwat - Cupertino CA, US

G06F 12/121
G06F 12/0891
G06F 12/0873
G06F 12/1081
G06F 21/62

A computer-implemented method includes using a cache replacement algorithm to forcefully evict target data from a cache. Using the cache replacement algorithm includes selectively accessing data in the cache. A computer program product includes one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media. The program instructions include program instructions to perform the foregoing method. A system includes a processor and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

20210319103, Oct 14, 2021

Apr 9, 2020

16/844856

- Armonk NY, US
Frank Schmuck - Campbell CA, US
Deepavali M. Bhagwat - Cupertino CA, US

G06F 21/56
G06F 16/182
G06F 16/17
G06N 20/00

A computer-implemented method includes monitoring file access activity and generating an audit log based on the file access activity. The method also includes collecting samples of file usage activity, running a pattern recognition algorithm on the samples of the file usage activity for detecting malware activity, and, in response to detecting malware activity, restoring at least one file based on the audit log. A computer program product includes one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media. The program instructions include program instructions to perform the foregoing method. A system includes a processor and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

20210117228, Apr 22, 2021

Dec 28, 2020

17/134715

- Armonk NY, US
Deepavali M. Bhagwat - Cupertino CA, US

G06F 9/48
G06F 9/50

One embodiment provides a method for optimizing data read-ahead for machine learning applications including obtaining, by a processor, next file information from a workflow scheduler for next input files for a next processing stage that are to be accessed by a machine learning application. Data for the next processing stage for the machine learning application and at least one system job is prefetched. The next input files are prefetched as the prefetching data reaches an end of current inputs. A schedule is caused to chain the next input files for the next processing stage to current input files of a current processing stage.

20200334208, Oct 22, 2020

Apr 17, 2019

16/387390

- Armonk NY, US
Deepavali M. Bhagwat - Cupertino CA, US
Constantine Arnold - San Jose CA, US
Wayne A. Sawdon - San Jose CA, US

G06F 16/17
G06F 16/907
G06F 9/48
G06F 9/54

A computer-implemented method according to one embodiment includes monitoring for occurrence of trigger events corresponding to creation of metadata in a computing environment, and detecting occurrence of a trigger event. The method further includes loading a rule that is associated with the detected trigger event in response to detecting occurrence of the trigger event. The rule includes a condition and an action, and the action defines a subset of metadata associated with processing a job in the computing environment. The method further includes collecting the defined subset of metadata in accordance with the action in response to the condition of the rule being met, and storing the collected subset of metadata. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

20200104159, Apr 2, 2020

Sep 27, 2018

16/144984

- Armonk NY, US
Deepavali Bhagwat - Cupertino CA, US

G06F 9/48
G06F 9/50

One embodiment provides a method for optimizing data read-ahead for workflow and analytics applications including obtaining, by a processor, next file information from a workflow scheduler for next files for a next processing stage that are to be accessed by a process. Data for the next processing stage for at least one application and at least one system job is prefetched. The next files are prefetched as the prefetching data reaches an end of current inputs.