Browsing by Author "Ellinas, Georgios"

Now showing items 1-20 of 29

    • Conference Object  

      Adaptive multi-model monitoring of recurrent mobility patterns 

      Papachristoforou, L.; Kolios, P.; Panayiotou, Christos; Ellinas, Georgios (2019)
      Multi-model event-triggering is a highly promising technique for efficient monitoring of processes where instead of continuous or even periodic triggering of events, communication and control is only applied after some ...
    • Conference Object  

      Ant Colony optimization for the Electric Vehicle Routing Problem 

      Mavrovouniotis, Michalis; Ellinas, Georgios; Polycarpou, Marios (2018)
      Ant colony optimization (ACO) algorithms have proved to be powerful tools to solve difficult optimization problems. In this paper, ACO is applied to the electric vehicle routing problem (EVRP). New challenges arise with ...
    • Conference Object  

      Attack-aware Lightpath Provisioning in Elastic Optical Networks with Traffic Demand Variations 

      Manousakis, Konstantinos; Panayiotou, Tania; Kolios, Panayiotis; Tomkos, Ioannis; Ellinas, Georgios (2019)
      This work considers lightpath provisioning in elastic optical networks with traffic demand variations while accounting for the impact of jamming attacks. Traffic requests are modeled based on their variation in traffic and ...
    • Article  

      Attack-aware resource planning and sparse monitor placement in optical networks 

      Monoyios, D.; Manousakis, K.; Christodoulou, C.; Vlachos, K.; Ellinas, Georgios (2018)
      This work presents joint optimization algorithms for lightpath establishment as well as sparse placement of optical performance monitoring (OPM) equipment in optical networks. OPMs are necessary to efficiently monitor the ...
    • Article  

      Beaconing-based Networking for Localized Information Exchange in Emergency Management 

      Kolios, Panayiotis; Koumidis, Konstandinos; Panayiotou, Christos; Ellinas, Georgios (2020)
      Currently, numerous proprietary communication technologies are used by emergency response personnel to ensure uninterrupted coordination and effective situational awareness, especially when the telecommunication infrastructure ...
    • Conference Object  

      Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks 

      Panayiotou, Tania; Savvas, Giannis; Tomkos, Ioannis; Ellinas, Georgios (2019)
      Dynamic network slicing has emerged as a promising and fundamental framework for meeting 5G’s diverse use cases. As machine learning (ML) is expected to play a pivotal role in the efficient control and management of these ...
    • Conference Object  

      Charging Policies for PHEVs used for Service Delivery: A Reinforcement Learning Approach 

      Panayiotou, Tania; Chatzis, Sotirios P.; Panayiotou, Christos; Ellinas, Georgios (2018)
      This work examines a cost optimization problem for plug-in hybrid electric vehicles (PHEVs) used for service delivery, in the presence of energy consumption uncertainty. For the cost optimization problem, an optimal policy ...
    • Conference Object  

      Connection Provisioning in Spectrally-Spatially Flexible Optical Networks with Physical Layer Considerations 

      Savva, G.; Manousakis, K.; Shariati, B.; Tomkos, I.; Ellinas, Georgios (2018)
      This paper presents efficient connection provisioning techniques for spectrally-spatially flexible optical networks (SS-FON) utilizing multicore fibers (MCFs) when physical layer effects are taken into consideration. To ...
    • Article  

      A Data-Driven Bandwidth Allocation Framework With QoS Considerations for EONs 

      Panayiotou, Tania; Manousakis, Konstantinos; Chatzis, Sotirios P.; Ellinas, Georgios (2019)
      This paper proposes a data-driven bandwidth allocation (BA) framework for periodically and dynamically reconfiguring an elastic optical network according to predictive BA (PBA) models. The proposed framework is scalable ...
    • Conference Object  

      Data-Driven Bandwidth Allocation in EONs 

      Panayiotou, Tania; Ellinas, Georgios (2018)
      We investigate periodically and dynamically reconfiguring elastic optical networks (EONs) utilizing predictive bandwidth allocation models found by applying reinforcement learning. These models aim at efficiently utilizing ...
    • Article  

      Dedicated protection of multicast sessions in mixed-graph sparse-splitting optical networks 

      Gomes, Teresa; Raposo, Luís; Ellinas, Georgios (2017)
      This work addresses the problem of dedicated protection of multicast sessions in mixed-graph optical networks, where only a fraction of the nodes have optical splitting capabilities. A novel multicast routing algorithm for ...
    • Conference Object  

      Eavesdropping-Aware Routing and Spectrum/Code Allocation in OFDM-Based EONs Using Spread Spectrum Techniques 

      Savva, Giannis; Manousakis, Konstantinos; Ellinas, Georgios (2018)
      In this work, eavesdropping-aware routing and spectrum/code allocation techniques are proposed for elastic optical networks (EONs) using orthogonal frequency division multiplexing (OFDM). To introduce physical (optical) ...
    • Article  

      Eavesdropping-Aware Routing and Spectrum/Code Allocation in OFDM-Based EONs Using Spread Spectrum Techniques 

      Savva, Giannis; Manousakis, Konstantinos; Ellinas, Georgios (2019)
      In this work, eavesdropping-aware routing and spectrum/code allocation techniques are proposed for elastic optical networks (EONs) using orthogonal frequency division multiplexing (OFDM). To introduce physical (optical) ...
    • Conference Object  

      Effective ACO-Based Memetic Algorithms for Symmetric and Asymmetric Dynamic Changes 

      Mavrovouniotis, Michalis; Bonilha, Iaê S.; Müller, Felipe M.; Ellinas, Georgios; Polycarpou, Marios (2019)
      Ant colony optimization (ACO) algorithms have proved to be suitable for solving dynamic optimization problems (DOPs). The integration of local search operators with ACO has also proved to significantly improve the output ...
    • Conference Object  

      Electric Vehicle Charging Scheduling Using Ant Colony System 

      Mavrovouniotis, Michalis; Ellinas, Georgios; Polycarpou, Marios (2019)
      In this work we consider the scheduling problem for charging a fleet of electric vehicles (EVs) within a station such that the total tardiness of the problem is minimized. The generation of a feasible and efficient schedule ...
    • Conference Object  

      An Event-triggering Approach for Bus Tracking based on Multimodel Mobility Prediction 

      Michalopoulou, M.; Kolios, P.; Panayiotou, Christos; Ellinas, Georgios (2019)
      Tracking a fleet of buses that serve routes across a city is an essential functionality for the successful utilization of modern transportation networks. However, to date, little attention has been paid to the effectiveness ...
    • Article  

      Leveraging statistical machine learning to address failure localization in optical networks 

      Panayiotou, T.; Chatzis, S. P.; Ellinas, Georgios (2018)
      In this work we consider the problem of fault localization in transparent optical networks.We attempt to localize single-link failures by utilizing statistical machine learning techniques trained on data that describe the ...
    • Conference Object  

      Machine Learning for QoT Estimation of Unseen Optical Network States 

      Panayiotou, Tania; Savva, Giannis; Shariati, Behnam; Tomkos, Ioannis; Ellinas, Georgios (2019)
      We apply deep graph convolutional neural networks for Quality-of-Transmission estimation of unseen network states capturing, apart from other important impairments, the inter-core crosstalk that is prominent in optical ...
    • Article  

      Minimal path decomposition of complete bipartite graphs 

      Constantinou, Costas K.; Ellinas, Georgios (2018)
      This paper deals with the subject of minimal path decomposition of complete bipartite graphs. A path decomposition of a graph is a decomposition of it into simple paths such that every edge appears in exactly one path. If ...
    • Conference Object  

      Model-Adaptive Event-triggering for Efficient Public Transportation Tracking 

      Kolios, Panayiotis; Ellinas, Georgios (2019)
      Accurate arrival-time predictions in public transportation systems can improve the perceived quality-of-service offered and increase usage of these systems. To date, predictions were primarily based on periodic updates of ...