Towards an architecture for handling big data in oil and gas industries: Service-oriented approach

Towards an architecture for handling big data in oil and gas industries: Service-oriented approach

Big data

Gas industry

Gases

Data handling

Information services

Architecture

Service oriented architecture (SOA)

Existing architectures to handle big data in Oil & gas industry are based on industry-specific platforms and hence limited to specific tools and technologies.With these architectures, we are confined to big data single-provider solutions. The idea of multi-provider big data solutions is essential. When building up big data solutions, organizations should embrace the best-inclass technologies and tools that different providers offer. In this article, we hypothesize that the limitations of the proposed bigdata architectures for oil and gas industries can be addressed by a Service Oriented Architecture approach. In this article, we are proposing the idea of breaking complex systems to simple separate yet reliable distributed services. It should be noted that loose coupling exists between the interacting services. Thus, our proposed architecture enables petroleum industries to select the necessary services from the SOA-based ecosystem and create viable big data solutions. 2013 The Science and Information (SAI) Organization.

554-562

2

10

Azzedin, Farag

Ghaleb, Mustafa

International Journal of Advanced Computer Science and Applications

2019

journalArticle

2158107X

10.14569/ijacsa.2019.0100269

http://dx.doi.org/10.14569/ijacsa.2019.0100269