Title
A simulation study on Map/Reduce framework in wireless data center environment
Abstract
Big data has different characteristics from the traditional data. It has large volume and various type and requires real-time processing. To process the big data, cluster based parallel and distributed computing model, Map/Reduce has been introduced. The Map/Reduce is basically designed for the cluster where the processing units are connected to each other with wired network, called data center. However, in the future, the wireless data center would be introduced since it has low installation and management complexity and cost. To introduce the wireless data center, we need to answer the fundamental question, “How does Map/Reduce framework would operate in the wireless data center?” To answer the question, in this paper, we perform simulation study of the Map/Reduce application in the wireless environment. We introduce the basic simulation model and the results of the simulation study to verify the potential of the wireless data center.
Year
DOI
Venue
2013
10.1109/ICTC.2013.6675391
ICTC
Keywords
Field
DocType
computer centres,parallel processing,real-time systems,very large databases,map/reduce framework,big data processing,cluster based distributed computing model,cluster based parallel computing model,installation,management complexity,real-time processing,wireless data center environment,real time systems
Wireless data,Wireless,Computer science,Parallel processing,Computer network,Real-time computing,Wi-Fi array,Data center,Big data
Conference
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Hwantae Kim1133.80
Jongtack Jung2256.14
Mungyu Bae3235.69
Hwangnam Kim435051.38