The design of a cloud-based tracker platform based on system-of-systems service architecture
| Autor: | Wei Zhou, Raymond K. Wong, Ivan Ho, Chi-Hung Chi, Victor W. Chu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
System of systems
Computer Networks and Communications Computer science business.industry computer.internet_protocol BitTorrent tracker Distributed computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Service-oriented architecture computer.software_genre Theoretical Computer Science Analytics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Mashup Data mining Data as a service business computer Software Dynamic Bayesian network Information Systems |
| Zdroj: | Information Systems Frontiers. 19:1283-1299 |
| ISSN: | 1572-9419 1387-3326 |
| DOI: | 10.1007/s10796-017-9768-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink