Data Value Chain as a Service Framework: For Enabling Data Handling, Data Security and Data Analysis in the Cloud

Author

Kasim, Henry ; Hung, Terence ; Xiaorong Li

Author_Institution

Inst. of High Performance Comput., A*STAR, Singapore, Singapore

fYear

2012

fDate

17-19 Dec. 2012

Firstpage

804

Lastpage

809

Abstract

The concept of Data Value Chain (DVC) involves the chain of activities to collect, manage, share, integrate, harmonize and analyze data for scientific or enterprise insight. For some applications, it also entails the leverage of visualization and simulation. However, the curse of big data (volume, velocity, variety) makes it difficult to efficiently handle and understand the data in near real-time. To address these challenges, this paper proposed the Data Value Chain as a Service (DVCaaS) framework, a data-oriented approach for data handling, data security and analytics in the cloud environment.

Keywords

cloud computing; data analysis; data visualisation; security of data; DVCaaS framework; cloud environment; data analysis; data analytics; data collection; data handling; data integration; data management; data security; data sharing; data value chain as a service framework; data visualization; data-oriented approach; enterprise insight; real-time data; scientific insight; service framework; Analytical models; Computational modeling; Data analysis; Data models; Data privacy; Data visualization; Distributed databases; cloud computing; data analysis; data handling; data security; data value chain;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on

Conference_Location

Singapore

ISSN

1521-9097

Print_ISBN

978-1-4673-4565-1

Electronic_ISBN

1521-9097

Type

conf

DOI

10.1109/ICPADS.2012.131

Filename

6413601