2018
DOI: 10.14569/ijacsa.2018.090871
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Aspect-Combining Functions for Modular MapReduce Solutions

Abstract: MapReduce represents a programming framework for modular Big Data computation that uses a function map to identify and target intermediate data in the mapping phase, and a function reduce to summarize the output of the map function and give a final result. Because inputs for the reduce function depend on the map function's output to decrease the communication traffic of the output of map functions to the input of reduce functions, MapReduce permits defining combining function for local aggregation in the mappi… Show more

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Cited by 1 publication
(1 citation statement)
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“…The principal focus in hardware-only implementations is AOP functional verification. The scope of AOP applications pertaining to the design or modeling of hardware components has been constrained [6,24]. In these endeavors, explicit architectural concepts, such as time and concurrency, are provided by Aspects; these concepts are then synthesized into descriptions of an SoC.…”
Section: Systemc Modeling Using Aopmentioning
confidence: 99%
“…The principal focus in hardware-only implementations is AOP functional verification. The scope of AOP applications pertaining to the design or modeling of hardware components has been constrained [6,24]. In these endeavors, explicit architectural concepts, such as time and concurrency, are provided by Aspects; these concepts are then synthesized into descriptions of an SoC.…”
Section: Systemc Modeling Using Aopmentioning
confidence: 99%