CoordSS: An ontology framework for heterogeneous networks experimentation

Abstract

Experimenting with HetNets environments is of importance because of the role that such environments have in next-generation cellular networks. In this paper, the CoordSS ontology experimentation framework is proposed with an aim to support experimenting with HetNets environments on wireless networking testbeds. In the framework, domain and system ontologies are adopted for formal representation of the knowledge about the context of the problem. This paper outlines implementation details of ontologies in the CoordSS experimentation framework. The synergy between semantic and cognitive computing is introduced as the theoretical foundation of the paper.

A survey on cost-effective context-aware distribution of social data streams over energy-efficient data centres

“…Thus, we need a solution that efficiently handles resources in space, frequency, and device dimensions. Efficient solution that can be used is semantic coordination in such networks [116,148].…”

“…The core knowledge is represented by ontologies whose representation and usage is specified in a standardized way. The approach is used as dynamic spectrum coordination algorithms used for coordination among different wireless technologies in 5G networking [116,148]. This semantic technologies based approach can be used for wide diapason of problems within 5G heterogeneous networks, such as network states predictions, network analysis, minimizing traffic load, content distribution coordination etc.…”

Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges

“…The core knowledge is represented by ontologies whose representation and usage is specified in a standardized way. The approach is used as dynamic spectrum coordination algorithms used for coordination among different wireless technologies in 5G networking [135,164]. This semantic technologies based approach can be used for wide diapason of problems within 5G heterogeneous networks, such as network states predictions, network analysis, minimizing traffic load, content distribution coordination etc.…”

“…Solutions that efficiently handles resources in space, frequency, and device dimensions are needed. One possible efficient solution is semantic coordination in such networks is given in [135,164].…”