DocumentCode :
1878078
Title :
Web-based collaborative big data analytics on big data as a service platform
Author :
Kyounghyun Park ; Minh Chau Nguyen ; Heesun Won
Author_Institution :
Big Data SW Res. Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
564
Lastpage :
567
Abstract :
As data has been increasing explosively due to development of social networks and cloud computing, there has been a new challenge for storing, processing, and analyzing a large volume of data. The traditional technologies do not become a proper solution to process big data so that a big data platform has begun to emerge. It is certain that big data platform helps users develop analysis service effectively. However, it still takes a long time to collect data, develop algorithms and analytics services. We present a collaborative big data analytics platform for big data as a service. Developers can collaborate with each other on the platform by sharing data, algorithms, and services. Therefore, this paper describes big data analytics platform that effectively supports to manage big data and develop analytics algorithms and services, collaborating with data owners, data scientists, and service developers on the Web. Finally, we introduce a CCTV metadata analytics service developed on the platform.
Keywords :
Big Data; cloud computing; data analysis; groupware; meta data; CCTV metadata analytics service; Web-based collaborative big data analytics; World Wide Web; big data as a service; cloud computing; data owner; data scientist; service developer; service platform; social network; Big data; Collaboration; Monitoring; Portals; Streaming media; Web services; BDaaS (Big Data as a Service); Big data analytics; Big data platform; CCTV MVS; CCTV video analysis; Collaborative platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9968-6504-9
Type :
conf
DOI :
10.1109/ICACT.2015.7224859
Filename :
7224859
Link To Document :
بازگشت