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Marinos Charalambides

Researcher at University College London

Publications -  56
Citations -  1111

Marinos Charalambides is an academic researcher from University College London. The author has contributed to research in topics: Network management & Quality of service. The author has an hindex of 16, co-authored 55 publications receiving 1016 citations. Previous affiliations of Marinos Charalambides include University of Surrey.

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Journal ArticleDOI

Management and orchestration challenges in network functions virtualization

TL;DR: This article introduces NFV and gives an overview of the MANO framework that has been proposed by ETSI, and presents representative projects and vendor products that focus on MANO, and discusses their features and relationship with the framework.
Journal ArticleDOI

Adaptive Resource Management and Control in Software Defined Networks

TL;DR: This paper develops a placement algorithm to determine the allocation of managers and controllers in the proposed distributed management and control layer, and shows how this layer can satisfy the requirements of two specific applications for adaptive load-balancing and energy management purposes.
Proceedings ArticleDOI

Policy conflict analysis for quality of service management

TL;DR: The paper shows how conflict detection can be achieved using event calculus in conjunction with abductive reasoning techniques to detect the existence of potential conflicts in partial specification and generate explanations for the conditions under which the conflicts arise.
Proceedings ArticleDOI

Using linear temporal model checking for goal-oriented policy refinement frameworks

TL;DR: This work presents a policy refinement framework grounded in goal-elaboration methodologies and reactive systems analysis, and provides a refinement scenario applied to the DiffServ QoS management domain.
Proceedings ArticleDOI

Dynamic Policy Analysis and Conflict Resolution for DiffServ Quality of Service Management

TL;DR: The paper shows how event calculus can be used to detect conflicts, focusing on the ones that emerge at run-time, and provides an approach for specifying policies to automate conflict resolution.