Browsing UiS Brage by Author "Nencioni, Gianfranco"

Now showing items 1-20 of 36

    • 5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance 

      Nencioni, Gianfranco; Garroppo, Rosario G.; Olimid-Nencioni, Ruxandra-Florentina (Peer reviewed; Journal article, 2023)
      The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter requirements. Multi-access Edge Computing (MEC) is a key technology that enables these new services by deploying multiple devices ...

    • 5G Network Slicing: A Security Overview 

      Olimid, Ruxandra; Nencioni, Gianfranco (Peer reviewed; Journal article, 2020-05)
      The fifth-generation (5G) of cellular networks is currently under deployment by network operators, and new 5G end-user devices are about to be commercialized by many manufacturers. This is just a first step in the 5G's ...

    • 5G-MEC Testbeds for V2X Applications 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023-05)
      Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low ...

    • Adaptive Methods for Revenue Model learning of a Slice Broker in the Presence of Adversaries 

      Khan, Md Muhidul Islam; Nencioni, Gianfranco (Peer reviewed; Journal article, 2024)
      In the fifth-generation (5G) of mobile networks, Multi-Access Edge Computing (MEC) refers to the deployment of computing resources closer to the end-users for improved service delivery. In the context of 5G MEC, the slice ...

    • Availability model of a 5G-MEC system 

      Pathirana, Thilina Dhanushka Kalahe; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) is one of the enabling technologies of the fifth generation (5G) of mobile networks. MEC enables services with strict latency requirements by bringing computing capabilities close to the ...

    • CCNA-Based Communication Technology Courses 

      Nencioni, Gianfranco; Kårstad, Terje Per (Peer reviewed; Journal article, 2020-04)
      Many study programs include courses on communication technology. All these courses explain the basis of communication technology, but they have different levels of detail depending on the study program and the related ...

    • Characterizing Service Availability in the Tampnet Offshore LTE Network 

      Gundersen, Daniel; Jørgensen, Kaja (Bachelor thesis, 2021)
      This paper is our Bachelor's thesis as a part of the study program "Datateknologi" at the University of Stavanger, written in the Spring semester of 2021. This thesis has been written in cooperation with Tampnet AS, a ...

    • Dependability of the NFV Orchestrator: State of the Art and Research Challenges 

      Gonzalez, Andres Javier; Nencioni, Gianfranco; Kamisinski, Andrzej; Helvik, Bjarne Emil; Heegaard, Poul Einar (Journal article; Peer reviewed, 2018)
      The introduction of network function virtualisation (NFV) represents a significant change in networking technology, which may create new opportunities in terms of cost efficiency, operations, and service provisioning. Although ...

    • DRL-Based Availability-Aware Migration of a MEC Service 

      Sarah, Annisa; Nencioni, Gianfranco; Khan, Md Muhidul Islam (Peer reviewed; Journal article, 2024)
      Multi-access Edge Computing (MEC) allows a mobile user to access a service on a computing device called MEC Host (MEH), enabling lower latency by running the service closer to the users. When the user moves away from the ...

    • Evaluation of low-cost software-defined LTE/5G frameworks: cloudification 

      Håland, Mari (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      There has been a tremendous rise in mobile communication units over the past decade. Where cellphones once dominated the user market for fast wireless communication solutions, we now see an abundance of devices and appliances ...

    • Experimental comparison of migration strategies for MEC-assisted 5G-V2X applications 

      Hathibelagal, Mohammed Ashraff; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2022)
      The introduction of 5G technology enables new V2X services requiring reliable and extremely low latency communications. To satisfy these requirements computing elements need to be located at the edge of the network, according ...

    • Experimental Evaluation of Handover Strategies in 5G-MEC Scenario by using AdvantEDGE 

      Garroppo, Rosario G.; Volpi, Marco; Nencioni, Gianfranco; Wadatkar, Prachi Vinod (Chapter, 2022)
      The 5G-MEC architecture increases the heterogene-ity and dynamicity of the available resources, presenting unique and competing challenges to researchers, network designers, and application developers. Recent studies ...

    • The Isolation Concept in the 5G Network Slicing 

      Gonzalez, Andres J.; Ordonez-Lucena, Jose; Helvik, Bjarne Emil; Nencioni, Gianfranco; Xie, Min; Lopez, Diego R.; Grønsund, Pål R. (Chapter, 2020)
      The fifth generation (5G) of cellular networks shall host a number of tenants and provide services tailored to meet a wide range of requirements in terms of performance, dependability and security. Network slicing will be ...

    • Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco; Volpi, Marco (Peer reviewed; Journal article, 2024)
      Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, ...

    • MigraMEC: Hybrid Testbed for MEC App Migration 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC ...

    • Minimizing the Cost of 5G Network Slice Broker 

      Ali, Gohar; Nencioni, Gianfranco (Chapter, 2021)
      Network slicing is a key enabler of the fifth-generation (5G) of mobile networks. It allows creating multiple logical networks, i.e. network slices, with heterogeneous requirements over a common underlying infrastructure. ...

    • Modeling and Evaluating NFV-Enabled Network Services under Different Availability Modes 

      Tola, Besmir; Nencioni, Gianfranco; Helvik, Bjarne Emil; Jiang, Yuming (Chapter, 2019)
      Network and Telecom operators are continuously embracing the adoption of Network Function Virtualization (NFV) as a means to provide more agile, flexible and cost-efficient services. Many telecommunication services need ...

    • A Multi-Agent Reinforcement Learning Architecture for Network Slicing Orchestration 

      Mason, Federico; Nencioni, Gianfranco; Zanella, Andrea (Chapter, 2021)
      The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is gathering great attention from both industry and scientific communities. In a NS scenario, physical and virtual resources are partitioned ...

    • Network-Aware Availability Modeling of an End-to-End NFV-Enabled Service 

      Tola, Besmir; Nencioni, Gianfranco; Helvik, Bjarne Emil (Peer reviewed; Journal article, 2019)
      Network Function Virtualization (NFV) represents a key shift in nowadays network service provisioning by entailing higher flexibility, elasticity, and programmability of network services. Dependability is one of the main ...

    • Optimal Access Point Power Management for Green IEEE 802.11 Networks 

      Garroppo, Rosario G.; Nencioni, Gianfranco; Tavanti, Luca; Gendron, Bernard; Scutellà, Maria Grazia (Peer reviewed; Journal article, 2021-03)
      In this paper, we present an approach and an algorithm aimed at minimising the energy consumption of enterprise Wireless Local Area Networks (WLANs) during periods of low user activity. We act on two network management ...