@inproceedings{59c8427a038449398dae3b6f2650acdf,
title = "Demo Abstract: Decomposing Data Analytics in Fog Networks",
abstract = "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].",
keywords = "Data analytics, Distributed systems, Edge computing, Fog computing, Heterogeneous architectures, Internet of Things",
author = "Chang, {Ta Cheng} and Chege Gitau and Liang Zheng and Ching-Yao Huang and Maria Gorlatova and Mung Chiang",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2017",
month = nov,
day = "6",
doi = "10.1145/3131672.3136962",
language = "English",
series = "SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems",
publisher = "Association for Computing Machinery, Inc",
editor = "Rasit Eskicioglu",
booktitle = "SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems",
}