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G-NETWORKS AND THEIR APPLICATIONS TO MACHINE LEARNING, ENERGY PACKET NETWORKS AND ROUTING: INTRODUCTION TO THE SPECIAL ISSUE

Published online by Cambridge University Press:  18 May 2017

Mehmet Ufuk Caglayan
Mehmet Ufuk Caglayan*
Affiliation:
Department of Computer Engineering, Bog̃aziçi University, Bebek, Istanbul, Turkey E-mail: [email protected]
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Abstract

This paper introduces a special issue of this journal (Probability in the Engineering and Informational Sciences) that is devoted to G(elenbe)-Networks and their Applications. The special issue is based on revised versions of some of the papers that were presented at a workshop held in early January 2017 at the Séminaire Saint-Paul in Nice (France). It includes contributions in several research directions that followed from the introduction of the G-Network in the late 1980s. The papers present original theoretical developments, as well as applications of G-Networks to Machine Learning, to the performance optimization of energy systems via the novel Energy Packet Networks formalism for systems that operate with renewable and intermittent energy sources, and to packet network routing and Cloud management over the Internet. We introduce these contributions from the perspective of an overview of recent work based on G-Networks.

Keywords

autonomic networkscognitive packet networksE-Networksenergy packet networksG-Networksrandom neural network
Type
Introduction
Information
Probability in the Engineering and Informational Sciences , Volume 31 , Special Issue 4: G-Networks and their Applications , October 2017 , pp. 381 - 395
Copyright
Copyright © Cambridge University Press 2017 

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