Home // International Journal On Advances in Internet Technology, volume 11, numbers 1 and 2, 2018 // View article


A Survey and Comparison Analysis of Reference Architectures for the Cloud Computing and Internet-of-things Context

Authors:
Hongyu Pei Breivold

Keywords: reference architecture model; survey; comaprison analysis; industrial internet-of-things; smart industrial automation.

Abstract:
Increased connectivity and emerging autonomous cloud and Internet-of-things technologies are motivating the transformation of the traditional product-focused development to cloud-based solutions and service-oriented business model in many companies. In line with this, several reference architectures for the cloud computing and Internet-of-things have been developed by various research initiatives and industry vendors. Although some of these reference architectures have continued their development tracks in parallel and have different focus, they also have similarities in many perspectives, which may result in confusion in understanding and applying appropriate reference architectures for specific use cases. The aim and main output of this study is therefore to survey these existing Internet-of-things reference architectures using the research method of systematic mapping study, clarify their characteristics, and analyze in-depth how these reference architectures address various perspectives, including technology, process, quality and key system concerns, business and people. Based on the analysis we discuss motivating factors of the reference architectures, the coverage of business architecture and customer context in the reference architectures, as well as the impacts of the reference architectures to research community and practice. In addition, we present several other relevant activities and initiatives related to the architecture context for cloud computing and Internet-of-things.

Pages: 60 to 69

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-2652