Advanced communication systems for enhanced big data technology and applications

Abstract

There has been a tremendous increase in both the capacity and complexity of data in the last few years, and for this reason, big data technology has been one of the most conspicuously emerging research areas. In big data technology, communication systems are implemented in such ways that data are collected from heterogeneous services and integrated seamlessly. The result shows that the optimal number of cutoff points depends on the distribution of underlying mobile devices. Therefore, the number of cutoff points should be chosen considering the characteristics of underlying mobile devices. In the second experiment, one measured the execution time of classified groups with one-phase grouping and two-phase grouping. One also compared two grouping techniques with different group selection algorithms. The result shows that the two-phase grouping technique outperforms the one-phase grouping technique regardless of the group selection algorithm.