DocumentCode
3666211
Title
Benchmark Tests on Improved Merge for Big Data Processing
Author
Zbigniew Marszalek;Marcin Wozniak;Grzegorz Borowik;Raniyah Wazirali;Christian Napoli;Giuseppe Pappalardo;Emiliano Tramontana
Author_Institution
Inst. of Math., Silesian Univ. of Technol., Gliwice, Poland
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
96
Lastpage
101
Abstract
Computer scientists and engineers work with increasing amounts of information. These data are used for knowledge retrieval, data management decision support and so on. Sorting algorithms are important procedures that if efficiently composed and implemented can increase speed of data processing and decision correctness. Many various sorting algorithms and their modifications are applicable in large computer systems. However, as the computer architectures are more efficient with each release and the software is more complex with each version there is need to improve sorting methods applied for big data computation.
Keywords
"Sorting","Benchmark testing","Big data","Computers","Stability analysis","Software algorithms","Signal processing algorithms"
Publisher
ieee
Conference_Titel
Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on
Type
conf
DOI
10.1109/APCASE.2015.24
Filename
7287001
Link To Document