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Fog-Cloud Collaboration for Real-Time Streaming Applications: FCC for RTSAs

Fog-Cloud Collaboration for Real-Time Streaming Applications: FCC for RTSAs
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Author(s): Biji Nair (National Institute of Technology Tiruchirappalli, India) and S. Mary Saira Bhanu (National Institute of Technology Tiruchirappalli, India)
Copyright: 2019
Pages: 20
Source title: Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
Source Author(s)/Editor(s): Surjit Singh (Thapar Institute of Engineering and Technology, India) and Rajeev Mohan Sharma (National Institute of Technology Kurukshetra, India)
DOI: 10.4018/978-1-5225-7335-7.ch007


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Real-time streaming applications (RTSAs) generate huge volumes of temporally ordered, infinite, continuous, high speed data streams demanding both real-time and long-term data analytics. Fog computing is a reliable solution for processing and analyzing real-time streaming data as it offers low latency, location-aware, geographically distributed service at fog node and provides long-term services at the cloud data center (DC). This chapter addresses the challenge of coordinating the fog nodes and cloud for efficient processing of real-time streaming data in motion and at rest. The fog-cloud collaboration framework proposed in this chapter employs data stream management system (DSMS) schema at the fog node for real-time stream data processing and response generation. The data representation in micro-clusters at fog node and macro-clusters at DC facilitates accurate data analytics. The coordination between fog node and DC is through local ontology and global ontology respectively.

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