Title :
Survey of BigData-as-a-Service Type
Author :
Yunkon Kim;Yong-Hyun Kim;Ga-Won Lee;Eui-Nam Huh
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
Abstract :
Big Data is used to find new value and brings us several benefits, which we didn´t know before. Various analytics has been studied in Big Data area for benefits. Moreover, to reduce analysis time and to support real-time service to user, distributed processing can be an alternative solution. Big Data also requires high performance resource for distributed analysis, for this reason, Big Data and Cloud Computing seem to be naturally combined-called Cloud-based Big Data. However, Cloud-based Big Data had no criteria to evaluation. Also, it is hard to decide which Cloud-based Big data is well designed and how much resource should be provided to provide qualitied Cloud-based Big data service. Hence, in this paper, we surveyed enterprises and their product and then, deduct criteria to classify and evaluate Cloud-based Big Data service.
Keywords :
"Conferences","High performance computing","Cyberspace","Safety","Security","Cascading style sheets","Embedded software"
Conference_Titel :
High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on
DOI :
10.1109/HPCC-CSS-ICESS.2015.279