公开(公告)号：US10827039B1

公开(公告)日：2020-11-03

申请号：US14886884

申请日：2015-10-19

Applicant: Dell Software Inc.

Inventor： Shree A. Dandekar ,  Mark William Davis

IPC: H04L29/06 ,  H04L29/08

Abstract: In an embodiment, a method includes receiving, from a data source, time-series data of a time-series data stream produced by the data source. The method further includes identifying a target compression algorithm for the time-series data, wherein the target compression algorithm is linked to the data source in memory pursuant to a dynamically-variable assignment. The method also includes compressing the time-series data using the target compression algorithm and transmitting the compressed time-series data to a destination. Furthermore the method includes periodically optimizing the dynamically-variable assignment in real-time as the time-series data is received.

公开(公告)号：US09904707B1

公开(公告)日：2018-02-27

申请号：US14672791

申请日：2015-03-30

Applicant: Dell Software Inc.

Inventor： Shree A. Dandekar ,  Mark William Davis

IPC: G06F17/30

CPC classification number: G06F17/30457 ,  G06F17/30474

Abstract: In one embodiment, a method includes receiving a request to execute a database statement in satisfaction of a time constraint. The method further includes determining a pattern of the database statement. Additionally, the method includes comparing the pattern to pattern metadata associated with cached samples of the distributed database. Also, the method includes, responsive to a determination that the comparing has resulted in one or more matches, selecting a target sample and causing the database statement to be executed on the target sample. The method further includes, responsive to a determination that the target sample resolves the database statement in satisfaction of the time constraint, returning a resulting dataset to a requestor. Moreover, the method includes, responsive to a determination that the target sample does not resolve the database statement in satisfaction of the time constraint, causing a new real-time sampling of the distributed database to be executed.