Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks

Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service requirement diversity as well as that network resources are spread across different locations, it is imperative to find solutions for optimal service placement and resource allocation for quality of service (QoS) provisioning. In this paper, we address the challenges of optimal network service placement with active QoS monitoring in NFV and network slicing enabled 5G IoT networks and propose a network architecture with optimal computation and resource placement over core, local, and edge data centers. The solution is implemented through virtualized infrastructure managers where operation costs and QoS requirements are considered for service placement. Optimal algorithms are developed based on a control system hub platform with an open source management and orchestration framework. To monitor the performance during traffic runtime, virtual charmed factors are adopted for control and QoS measurement.acceptedVersio

An Intelligent Low-Power Displaying System with Integrated Emergency Alerting Capability

Integrated communication infrastructure has become a must-have facility for modern public buildings and offices. To cover this need, several commercial products exist on the market, but most of them require advanced technical skill to operate, while others require manual and time-consuming operations. This work proposes an intelligent displaying and alerting system (called SICIAD), implemented over an integrated communication infrastructure with support for wireless ePaper and iBeacon technologies to enhance displaying static and dynamic information, as well as to ease the indoor orientation of guests. A centralized display management console is implemented, as well as procedures for automatically displaying different types of notifications. An Android mobile application is developed which enables indoor user location and guidance. The system targets educational and research institutions but could also cope with public institutions such as museums and hospitals. Remote authentication is supported in research facilities through eduroam technology, access being provided by the user’s distant institution of affiliation. Secure multiple-level access to the system is provided to users, from guests to system administrators, based on locally defined policies. Functional validation and performance evaluation aspects are presented for the proposed system

Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks

Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service requirement diversity as well as that network resources are spread across different locations, it is imperative to find solutions for optimal service placement and resource allocation for quality of service (QoS) provisioning. In this paper, we address the challenges of optimal network service placement with active QoS monitoring in NFV and network slicing enabled 5G IoT networks and propose a network architecture with optimal computation and resource placement over core, local, and edge data centers. The solution is implemented through virtualized infrastructure managers where operation costs and QoS requirements are considered for service placement. Optimal algorithms are developed based on a control system hub platform with an open source management and orchestration framework. To monitor the performance during traffic runtime, virtual charmed factors are adopted for control and QoS measurement

Optimization Schedule Schemes for Charging Electric Vehicles: Overview, Challenges, and Solutions

Electric vehicles represent a global endeavor towards environmentally friendly transportation, and such a green transition is promoted worldwide, being deployed in many regions nowadays. As the number of electric vehicles has been increasing rapidly for more than a decade, how to meet the need for charging their batteries appears as an important research topic, having received remarkable attention in both industry and research community. Uncoordinated charging of many electric vehicles may lead to congestion at charging stations and unbalanced load of the power supply grid. To address this problem, optimized charging schemes which consider available energy resources and user requirements are required. This paper offers an overview of state-of-the-art charging solutions covering two main categories of approaches, namely, centralized and decentralized charging. In addition to addressing the potential challenges that arise in charging schedule optimization, we cover various optimization techniques that have been proposed for optimizing charging schedules. Furthermore, this paper analyzes the current solutions and identifies their limitations and gaps. Open research issues are identified and several potential research topics are suggested

SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform

IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents a hierarchical architecture composed of different licensing entities that manage access to different resources within a network infrastructure. They are conducted on the basis of well-drawn policy rules. At the same time, the security side of these resources is also placed through a context awareness module. Together with this technology, IoT is used and Blockchain is enabled (for network consolidation, as well as the transparency with which to monitor the platform). The ultimate goal is to implement a secure and scalable security platform for the Smart Grid. The paper presents the work undertaken in the SealedGRID project and the steps taken for implementing security policies specifically tailored to the Smart Grid, based on advanced concepts such as Opinion Dynamics and Smart Grid-related Attribute-based Access Control.This research was funded by the European Commission, under the SealedGRID project, Grant Agreement no. 777996, and by the Norway Grants and UEFISCDI, under the SOLID-B5G project, Project contract no. 42/2021, RO-NO-2019-0499. Institutional Review. Partial funding for open access charge: Universidad de Málag