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Demo Abstract: Decomposing Data Analytics in Fog Networks

Publication ,  Conference
Chang, TC; Gitau, C; Zheng, L; Huang, CY; Gorlatova, M; Chiang, M
Published in: SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
November 6, 2017

Fog computing, the distribution of computing resources closer to the end devices along the cloud-to-things continuum, is recently emerging as an architecture for scaling of the Internet of Things (IoT) sensor networking applications. Fog computing requires novel computing program decompositions for heterogeneous hierarchical settings. To evaluate these new decompositions, we designed, developed, and instrumented a fog computing testbed that includes cloud computing and computing gateway execution points collaborating to finish complex data analytics operations. In this interactive demonstration we present one fog-specific algorithmic decomposition we recently examined and adapted for fog computing: a multi-execution point linear regression decomposition that jointly optimizes operation latency, quality, and costs. The demonstration highlights the role fog computing can play in future sensor networking architectures, and highlights some of the challenges of creating computing program decompositions for these architectures. An annotated video of the demonstration is available at [5].

Duke Scholars

Published In

SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems

DOI

Publication Date

November 6, 2017

Volume

2017-January
 

Citation

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Chang, T. C., Gitau, C., Zheng, L., Huang, C. Y., Gorlatova, M., & Chiang, M. (2017). Demo Abstract: Decomposing Data Analytics in Fog Networks. In SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems (Vol. 2017-January). https://doi.org/10.1145/3131672.3136962
Chang, T. C., C. Gitau, L. Zheng, C. Y. Huang, M. Gorlatova, and M. Chiang. “Demo Abstract: Decomposing Data Analytics in Fog Networks.” In SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems, Vol. 2017-January, 2017. https://doi.org/10.1145/3131672.3136962.
Chang TC, Gitau C, Zheng L, Huang CY, Gorlatova M, Chiang M. Demo Abstract: Decomposing Data Analytics in Fog Networks. In: SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems. 2017.
Chang, T. C., et al. “Demo Abstract: Decomposing Data Analytics in Fog Networks.” SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems, vol. 2017-January, 2017. Scopus, doi:10.1145/3131672.3136962.
Chang TC, Gitau C, Zheng L, Huang CY, Gorlatova M, Chiang M. Demo Abstract: Decomposing Data Analytics in Fog Networks. SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems. 2017.

Published In

SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems

DOI

Publication Date

November 6, 2017

Volume

2017-January