This article describes some of the most representative cloud computing development environments classified into four types. Integrated development environments are used to code, debug, deploy and monitor cloud applications that are executed on a cloud infrastructure. Parallel-processing development environments are used to define parallel applications for processing large amount of data thatrun on a cluster of virtual machines provided by a cloud infrastructure. Workflow development environments are used to define workflow-based applications that are executed on a cloud infrastructure. Data-analytics development environments are used to define data analysis applications through machine learning and data mining tools provided by a cloud infrastructure.

Infrastructures for high-performance computing: Cloud computing development environments

Marozzo F.;Trunfio P.
2018-01-01

Abstract

This article describes some of the most representative cloud computing development environments classified into four types. Integrated development environments are used to code, debug, deploy and monitor cloud applications that are executed on a cloud infrastructure. Parallel-processing development environments are used to define parallel applications for processing large amount of data thatrun on a cluster of virtual machines provided by a cloud infrastructure. Workflow development environments are used to define workflow-based applications that are executed on a cloud infrastructure. Data-analytics development environments are used to define data analysis applications through machine learning and data mining tools provided by a cloud infrastructure.
2018
9780128114322
Azure ml
BigML
Data-analytics development environments
DMCF
Eclipse
Hadoop
Integrated development environments
IntelliJ
Parallel-processing development environments
Spark
Swift
Visual studio
Workflow development environments
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/328700
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