DocumentCode
3739562
Title
A Productive Cloud Computing Platform Research for Big Data Analytics
Author
Yuzhong Yan;Chao Chen;Lei Huang
Author_Institution
Dept. of Comput. Sci., Prairie View A&
fYear
2015
Firstpage
499
Lastpage
502
Abstract
The fast growing data volume poses significant challenges as well as opportunities to research and industry. Data scientists and domain experts demand high productive and high-performance data analytics platform, which will alleviate their work, tackle these challenges, and find more opportunities from data. The objective of our research is to build such a productive data analytics cloud platform by integrating a variety of data analytics tools and packages with a high-level workflow interface. Data scientists and domain experts are able to use the platform to process both big text and binary data with an interactive/batch/workflow interface to design their own applications in processing, analyzing, and visualizing data. In this paper, we present the current status of our big data analytics cloud at PVAMU as well as our research plan for future work. The usability and performance are main characteristics of this platform.
Keywords
"Big data","Cloud computing","Data visualization","Data analysis","Sparks","Computational modeling"
Publisher
ieee
Conference_Titel
Cloud Computing Technology and Science (CloudCom), 2015 IEEE 7th International Conference on
Type
conf
DOI
10.1109/CloudCom.2015.113
Filename
7396203
Link To Document