Automated reconfiguration is one of the crucial tasks in telecommunication service composition. The first step in reconfiguration is the monitoring phase. The problem of monitoring and error detection frequently appears in different telecommunications architectures. This article describes the main components of the architecture for monitoring module in AUTO framework. The monitoring approach is based on semantic technologies and ITIL framework. Equally, this paper presents an analysis and comparison of two approaches for the implementation of the module: Drools and semantic formalism. The results of this study may be applicable to other telecommunication domains
Heavy-Hitters (HHs) are large-volume flows that consume considerably more network resources than other flows combined. In SDN-based DCNs (SDDCNs), HHs cause non-trivial delays for small-volume flows known as non-HHs that are delay-sensitive. Uncontrolled forwarding of HHs leads to network congestion and overall network performance degradation. A pivotal task for controlling HHs is their identification. The existing methods to identify HHs are threshold-based. However, such methods lack a smart system that efficiently identifies HH according to the network behaviour. In this paper, we introduce a novel approach to overcome this lack and investigate the feasibility of using Knowledge-Defined Networking (KDN) in HH identification. KDN by using Machine Learning (ML), allows integrating behavioural models to detect patterns, like HHs, in SDN traffic. Our KDN-based approach includes mainly three modules: HH Data Acquisition Module (HH-DAM), Data ANalyser Module (HH-DANM), and APplication Module (HH-APM). In HH-DAM, we present the flowRecorder tool for organizing packets into flows records. In HH-DANM, we perform a cluster-based analysis to determine an optimal threshold for separating HHs and non-HHs. Finally, in HH-APM, we propose the use of MiceDCER for routing non-HHs efficiently. The per-module evaluation results corroborate the usefulness and feasibility of our approach for identifying HHs.
1 January 2017 in Expert Systems with Applications
Este artículo aborda el reconocimiento de la inclusión digital como derecho fundamental en Colombia, para contribuir al desarrollo de la teoría constitucional sobre reconocimiento de derechos fundamentales en nuestro país. En los últimos años, ha habido una importante actividad de la comunidad nacional e internacional con respecto a la brecha digital como problemática intrínsecamente asociada con los derechos fundamentales, al considerar que la inclusión digital es un motor de desarrollo preponderante para individuos y Estados. En el artículo se realiza una evaluación de la doctrina y los criterios jurisprudenciales acerca de la incorporación de nuevos derechos fundamentales y la protección por medio de la acción de tutela, mediante una revisión documental y hermenéutica jurídica, para explorar algunos argumentos que permiten justificar el reconocimiento de la inclusión digital como derecho fundamental en el ordenamiento jurídico colombiano.