Method for translating multi modal execution dependency graph with data interdependencies to efficient application on homogenous big data processing platform
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Jan 30, 2018
Issued Date -
N/A
app pub date -
Sep 14, 2016
filing date -
Sep 14, 2016
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
This invention relates to a method and system for creating applications that can be executed on homogeneous big data platforms. The applications can be executed on a particular platform, such as SAPRK or UIMA-AS, but the method and system are able to translate the input to these targeted platforms without the developer needing to tailor the application specifically to the platform. The method and system are based on the use of an execution dependency graph and a cluster configuration. The execution dependency graph can include interdependencies in the data. Furthermore, the system optimizes for different analytics modules that have varying execution times. The output of the method is an application suitable for the target big data platform.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully