… Based on those threshold values, the edge analytics in edge devices execute some analytics
algorithm to determine whether the parameters have crossed the threshold value or not. In …

… In this paper we have proposed a novel approach to the optimum delivery of edge-based
analytics that is tailored to be of specific relevance to SMEs and their particular challenges. We …

… In this article, we propose a unified cloud and edge data analytics platform, which extends
the notion of serverless computing to the edge and facilitates joint programmatic resource and …

… big data analytics, we provide various synergies and distinctions between cloud and edge
… More importantly, we identify and describe the potential key enablers for the proposed edge-…

… Edge and Core Analytics approaches, several interesting themes appear. The Network
Edge Analytics approach has several considerations, namely, real time nature of analytics, …

… assess an edge node with cloudlet … analytics on a Close Circuit TV (CCTV) running at the
edge of the network. Specifically, in Section II we present the related work on IoT analytics and …

… edge video analytics. Problems. Although GPU computation resources are holistically
constrained on edge … become a primary bottleneck in edge video analytics for three main reasons. …

… that minimizes the V value in a multi-computing node edge-data center computing network.
… Given the different number of edge nodes, the V values of the objective function obtained by …

… capabilities are restricted to the edge devices, gateways, routers etc. To harness the
potential of edge computing real time analytics has been introduced at the edge. Real time …

… edge computing on real-time data processing and analytics. By exploring the fundamentals
of edge … into how edge computing is reshaping the landscape of data analytics and enabling …