A rapid deployment big data computing platform for cloud robotics

Duggan, Leigh and Dowzard, James and 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. ISSN 0975-2293

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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 10 Apr 2018 04:34
Last Modified: 09 May 2018 00:44
Uncontrolled Keywords: cloud robotics, big data, OpenStack, Apache, ROS
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
B Economic Development > 89 Information and Communication Services > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified
Identification Number or DOI: 10.5121/ijcnc.2017.9606
URI: http://eprints.usq.edu.au/id/eprint/33974

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