A rapid deployment big data computing platform for cloud robotics

Article

Duggan, Leigh, Dowzard, James, Katupitiya, Jayantha and Chan, Ka C.. 2017. "A rapid deployment big data computing platform for cloud robotics." International Journal of Computer Networks and Communications. 9 (6), pp. 77-88. https://doi.org/10.5121/ijcnc.2017.9606
Article Title

A rapid deployment big data computing platform for cloud robotics

ERA Journal ID41708
Article CategoryArticle
AuthorsDuggan, Leigh (Author), Dowzard, James (Author), Katupitiya, Jayantha (Author) and Chan, Ka C. (Author)
Journal TitleInternational Journal of Computer Networks and Communications
Journal Citation9 (6), pp. 77-88
Number of Pages12
Year2017
Place of PublicationIndia
ISSN0974-9322
0975-2293
Digital Object Identifier (DOI)https://doi.org/10.5121/ijcnc.2017.9606
Web Address (URL)http://aircconline.com/ijcnc/V9N6/9617cnc06.pdf
Abstract

The primary contribution of this research is the production of a general cloud robotics architecture that leverages established and evolving big data technologies. Prior research in this area has not released all details of their deployed architectures, which prevents experimental results from being replicated and verified. By providing a general purpose architecture, it is hoped this framework will allow future research to build upon and begin to create a standardised platform, where research can be easily repeated, validated and compared. The secondary contribution is the critical evaluation of the design of cloud robotic architectures. Whilst prior research has demonstrated that cloud based robotic processing is achievable via big data technologies, such research has not discussed the choice in design. With the ecosystem of big data technologies expanding in recent years, a review into the most relevant technologies for cloud robotics is appropriate to demonstrate and validate the proposed architecture design.

Keywordscloud robotics, big data, OpenStack, Apache, ROS
ANZSRC Field of Research 2020460999. Information systems not elsewhere classified
400799. Control engineering, mechatronics and robotics not elsewhere classified
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Byline AffiliationsUniversity of New South Wales
La Trobe University
Institution of OriginUniversity of Southern Queensland
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