We propose a quality-aware, time-optimized edge analytics model that supports communication efficient predictive modeling within the edge network. Our idea ...
Abstract—We investigate the quality of aggregation and predictive analytics in edge computing environments. Edge analytics require pushing processing and ...
Specifically, [15] deals with time-optimized data forwarding among EDs and EGs in light of maximizing the quality of RA. Such approach reduces data ...
Dec 14, 2017 · Given the constraints of an IoT network, let us hypothesise the following actions: ◦ Action 1: Reduce the communication overhead.
Quality-aware aggregation & predictive analytics at the edge. N Harth, C Anagnostopoulos. 2017 IEEE International Conference on Big Data (Big Data), 17-26, 2017.
Natascha Harth , Christos Anagnostopoulos : Quality-aware aggregation & predictive analytics at the edge. IEEE BigData 2017: 17-26. manage site settings.
Quality-aware aggregation & predictive analytics at the edge. N Harth, C Anagnostopoulos. 2017 IEEE International Conference on Big Data (Big Data), 17-26, 2017.
Oct 17, 2021 · Therefore, this thesis investigates the ability to perform predictive analytics and model inference in Edge Devices with communication-efficient ...
People also ask
What are the 4 predictive analytics?
What is analytics at the edge?
What are the three techniques used in predictive analytics?
What are the 5 steps in the predictive analytics process cycle?
1 Quality-aware Aggregation & Predictive Analytics at the Edge · 2 Agenda Introduction Methodology Experiments Evaluation Results · 3 Context Cloud Cloud ...
Quality-aware aggregation & predictive analytics at the edge. N Harth, C Anagnostopoulos. 2017 IEEE International Conference on Big Data (Big Data), 17-26, ...