標題: | Decomposing Data Analytics in Fog Networks |
作者: | Chang, Ta-Cheng Zheng, Liang Gorlatova, Maria Gitau, Chege Huang, Ching-Yao Chiang, Mung 交大名義發表 National Chiao Tung University |
關鍵字: | Fog computing;edge computing;distributed systems;data analytics;heterogeneous architectures;Internet of Things |
公開日期: | 1-一月-2017 |
摘要: | 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]. |
URI: | http://dx.doi.org/10.1145/3131672.3136962 http://hdl.handle.net/11536/151710 |
ISBN: | 978-1-4503-5459-2 |
DOI: | 10.1145/3131672.3136962 |
期刊: | PROCEEDINGS OF THE 15TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (SENSYS'17) |
起始頁: | 0 |
結束頁: | 0 |
顯示於類別: | 會議論文 |