Architecting time-critical big-data systems
Current infrastructures for developing big-data applications are able to process-via big-data
analytics-huge amounts of data, using clusters of machines that collaborate to perform …
analytics-huge amounts of data, using clusters of machines that collaborate to perform …
A systematic mapping of software engineering approaches to develop big data systems
[Context] Data is being collected at an unprecedented scale. Data sets are becoming so
large and complex that traditionally engineered systems may be inadequate to deal with …
large and complex that traditionally engineered systems may be inadequate to deal with …
From Java to real-time Java: A model-driven methodology with automated toolchain
Real-time systems are receiving increasing attention with the emerging application
scenarios that are safety-critical, complex in functionality, high on timing-related …
scenarios that are safety-critical, complex in functionality, high on timing-related …
Development automation of real-time Java: Model-driven transformation and synthesis
Many applications in emerging scenarios, such as autonomous vehicles, intelligent robots,
and industrial automation, are safety-critical with strict timing requirements. However, the …
and industrial automation, are safety-critical with strict timing requirements. However, the …
A new knowledge capitalization framework in the big data context through shared parameters experiences
Abstract Knowledge management proves to be inexorable in generating value from
disorganized knowledge bases, as well as separating concerns through intelligent …
disorganized knowledge bases, as well as separating concerns through intelligent …
A new knowledge capitalization framework in big data context
In many companies data is used as a source for creating knowledge in their sphere of
business. Therefore this paper presents a knowledge capitalization framework in big data …
business. Therefore this paper presents a knowledge capitalization framework in big data …
[PDF][PDF] Model Driven Methodology for JAVA
KJ Karande, PS Prasad - 2020 - academia.edu
Real-time systems are getting expanding attention with the rising application situations that
are wellbeing basic, complex in usefulness, high on timing-related execution necessities …
are wellbeing basic, complex in usefulness, high on timing-related execution necessities …
[PDF][PDF] Architecting Time-Critical Big-Data Systems (draft)
Current infrastructures for developing big-data applications are able to process–via big-data
analytics-huge amounts of data, using clusters of machines that collaborate to perform …
analytics-huge amounts of data, using clusters of machines that collaborate to perform …
Architecting Time-Critical Big-Data (preprint)
—Current infrastructures for developing big-data applications are able to process–via big-
data analytics-huge amounts of data, using clusters of machines that collaborate to perform …
data analytics-huge amounts of data, using clusters of machines that collaborate to perform …