期刊
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
卷 128, 期 -, 页码 90-104出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jnca.2018.12.013
关键词
Big data; Fog data analytics; Data collection; Data storage; Data reduction; Data security and privacy
Through the exponential growth of sensors and smart gadgets (collectively referred to as smart devices or Internet of Things (IoT) devices), significant amount of heterogeneous and multi-modal data, termed as Big Data (BD), is being generated. To deal with such BD, we require efficient and effective solutions such as data mining, analytics, and reduction to be deployed at the edge of fog devices on a cloud. Existing research and development efforts generally focus on performing BD analytics overlook the difficulty of facilitating fog data analytics (FDA), In this paper, we discuss the unique nature and complexity of fog data analytics. A detailed taxonomy for FDA is abstracted into a process model. The proposed model addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements. To demonstrate the proposed process model, we present two case studies.
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