The design of a cloud-based tracker platform based on system-of-systems service architecture

Victor W. Chu (), Raymond K. Wong (), Chi-Hung Chi (), Wei Zhou () and Ivan Ho ()
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Victor W. Chu: University of New South Wales
Raymond K. Wong: University of New South Wales
Chi-Hung Chi: Intelligent Sensing and Systems Laboratory, CSIRO
Wei Zhou: Intelligent Sensing and Systems Laboratory, CSIRO
Ivan Ho: Novel Approach Limited

Information Systems Frontiers, 2017, vol. 19, issue 6, No 6, 1283-1299

Abstract: Abstract Devices embedded with position tracking facilities are now widely available, such as smartphones, smartwatches, vehicle location trackers, etc. However, data mining and advanced analytics are rarely bundled with these devices that limits their utility. In this paper, we present the design of a generic, programmable position tracking platform, namely CQtracker. In particular, this platform is incorporated with a cloud-based engine of advanced analytics. CQtracker is constructed based on a concept of system-of-systems service architecture to deliver data-system-as-a-service. It is designed for the consumption by a variety of spatio-temporal applications. Spatio-temporal data exhibit strong heterogeneous patterns, data sparseness and distribution skewness. Hence, they are difficult to analyze. CQtracker reveals relationships and structures from these data by self-regularized time-varying dynamic Bayesian networks. In addition, a Bayesian parameter estimation approach is applied to an epidemic model for outbreak predictions. Sample applications are presented in this paper, in which CQtracker successfully reveals the evolution of time-varying structures from traffic trajectories.

Keywords: System-of-systems; Data-system-as-a-service; Service architecture; Service composition; Mashup (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-017-9768-9

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