In this paper, we propose an uncertainty driven model for the exchange of data synopses. We argue that EC nodes should delay the exchange of synopses especially ...

Synopses represent the statistical information of distributed datasets. They are exchanged to depict the statistical information to the ecosystem of nodes.

Outliers should be detected when we focus on a distributed system where multiple nodes cooperate to execute tasks. Usually, nodes exchange data synopses for ...

A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications · Computer Science, Engineering. 2020 IEEE 22nd International ...

Abstract—Pervasive computing applications deal with the incorporation of intelligent components around end users to facilitate their activities.

Oct 25, 2022 · A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications. In Intelligent Computing; Springer: Berlin ...

Kolomvatsos, K.: A proactive uncertainty driven model for data synopses management in pervasive applications. In: 6th IEEE International Conference on Data ...

A probabilistic model to detect the statistical matching between the shared data filters in a time window. •. An aggregation scheme for merging the current view ...

It is argued that EC nodes should delay the exchange of synopses especially when no significant differences with historical values are present, ...

Aug 1, 2020 · Abstract—Pervasive computing involves the placement of pro- cessing units and services close to end users to support intelligent.