期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：557-570
出版社：Science and Information Society (SAI)
摘要：Recently, Internet of Thing (IoT) systems enable an
interconnection between systems, humans, and services to create
an (autonomous) ecosystem of various computation-intensive
things. Software architecture supports an effective modeling,
specification, implementation, deployment, and maintenance of
software-intensive things to engineer and operationalize IoT
systems. In order to conceptualize and optimize the role of
software architectures for IoTs, there is a dire need for research
efforts to analyse the existing research and solutions to formulate
the vision for futuristic research and development. In this
research, we propose to empirically analyse and taxonomically
classify the impacts of research on designing, architecting, and
developing IoT-driven software systems. We have conducted a
survey-based study of the existing research – investigating
challenges, solutions and required futuristic efforts – on
architecting IoT systems. The results of survey highlight that
software architecture solutions support various research themes
for IoT systems such as (i) cloud-based ecosystems, (ii) reference
architectures, (ii) autonomous systems, and (iv) agent-based
systems for IoT-based software. The results also indicate that any
futuristic vision to architect IoT software should incorporate
architectural processes, patterns, models and languages to
support reusable, automated, and efficient development of IoTs.
The proposed research documents structured and systemised
knowledge about software architecture to develop IoT systems.
Such knowledge can facilitate the researchers and developers to
identify the key areas, understand the existing solution and their
limitations to conceptualize and propose innovation solutions for
existing and emerging challenges related to the development of
IoT software.
关键词：Software and system architecture; Internet of
Things; software engineering; software engineering for IoT
