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Prof Jose M. Alcaraz Calero is Full Professor of Networks at the University of the West of Scotland, United Kingdom. His research interests include security and management in distributed and heterogeneous systems, cloud computing, and big data. He has more than 70 publications and 15 patents and intellectual property rights in these fields. He is active in research projects and knowledge transfer activities.
Many people go missing in the wild every year. In this paper, the Search and Rescue (SAR) mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) coupled with real-time machine-learning-based object detection system embedded on a smartphone. Human detection from UAV in the wilderness is a challenging task, because of many constraints involved such as lack of computing and communication infrastructures. We proposed a novel combination of a robust architecture deployed on a smartphone and a novel Convolutional Neural Network (CNN) model to fulfil the goals of the project. Our approach achieved 94.73% of accuracy and 6.8 FPS on a smartphone. Our approach is highly portable, cost-effective, fast with high accuracy. This novel system is expected to contribute significantly to maximise chances of saving lives in the wild. This developed system has been recently launched by Police Scotland to facilitate the SAR teams to locate missing persons in Scotland wilderness.
Ignacio Martinez-Alpiste; Gelayol Golcarenarenji; Qi Wang; Jose Maria Alcaraz-Calero. Search and rescue operation using UAVs: A case study. Expert Systems with Applications 2021, 178, 114937 .
AMA StyleIgnacio Martinez-Alpiste, Gelayol Golcarenarenji, Qi Wang, Jose Maria Alcaraz-Calero. Search and rescue operation using UAVs: A case study. Expert Systems with Applications. 2021; 178 ():114937.
Chicago/Turabian StyleIgnacio Martinez-Alpiste; Gelayol Golcarenarenji; Qi Wang; Jose Maria Alcaraz-Calero. 2021. "Search and rescue operation using UAVs: A case study." Expert Systems with Applications 178, no. : 114937.
Location-aware recommendation is considered as one of human behavior cognitive analyses in the world of human-machine-environment system. The development of 5G technology and ubiquitous mobile devices has led to the emergence of a new online platform, location-based social networks (LBSNs), which allows users to share their locations. The essential feature of LBSNs is to provide users with location recommendations that help them explore new places and also to make LBSNs more prevalent to users. Most of the existing research is focusing on the introduction of new features and how these new features affect the check-in behaviors of the users. In addition, the dependencies between each feature and the probability of a user visiting the site is always a principle to follow. However, a user's decision could be determined by considering several features at the same time. When a full model is applied by considering all the features, an overfitting problem could be occurred owing to the lack of sufficient data for each individual user. In this article, an intermediate solution was proposed to address all of these problems by fragmenting the model into several partial models, where each partial model is responsible for a few features. An additive strategy was also implemented to support the development of personalized partial models. Furthermore, a partition-based approach was introduced to explore the hidden patterns from the geographically clustered check-in data. The performance of the approaches has been evaluated by using the data sets from Foursquare and it demonstrates that the proposed approach outperforms the state-of-the-art approaches.
Elahe Naserian; Xinheng Wang; Keshav P. Dahal; Jose M. Alcaraz-Calero; Honghao Gao. A Partition-Based Partial Personalized Model for Points of Interest Recommendations. IEEE Transactions on Computational Social Systems 2021, PP, 1 -15.
AMA StyleElahe Naserian, Xinheng Wang, Keshav P. Dahal, Jose M. Alcaraz-Calero, Honghao Gao. A Partition-Based Partial Personalized Model for Points of Interest Recommendations. IEEE Transactions on Computational Social Systems. 2021; PP (99):1-15.
Chicago/Turabian StyleElahe Naserian; Xinheng Wang; Keshav P. Dahal; Jose M. Alcaraz-Calero; Honghao Gao. 2021. "A Partition-Based Partial Personalized Model for Points of Interest Recommendations." IEEE Transactions on Computational Social Systems PP, no. 99: 1-15.
This paper proposes an acceleration technique to minimise the unnecessary operations on a state-of-the-art machine learning model and thus to improve the processing speed while maintaining the accuracy. After the study of the main bottlenecks that negatively affect the performance of convolutional neural networks, this paper designs and implements a discarding technique for YOLOv3-based algorithms to increase the speed and maintain accuracy. After applying the discarding technique, YOLOv3 can achieve a 22% of improvement in terms of speed. Moreover, the results of this new discarding technique were tested on Tiny-YOLOv3 with three output layers on an autonomous vehicle for pedestrian detection and it achieved an improvement of 48.7% in speed. The dynamic discarding technique just needs one training process to create the model and thus execute the approach, which preserves accuracy. The improved detector based on the discarding technique is able to readily alert the operator of the autonomous vehicle to take the emergency brake of the vehicle in order to avoid collision and consequently save lives.
Ignacio Martinez-Alpiste; Gelayol Golcarenarenji; Qi Wang; Jose Maria Alcaraz-Calero. A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3. Neural Computing and Applications 2021, 1 -13.
AMA StyleIgnacio Martinez-Alpiste, Gelayol Golcarenarenji, Qi Wang, Jose Maria Alcaraz-Calero. A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3. Neural Computing and Applications. 2021; ():1-13.
Chicago/Turabian StyleIgnacio Martinez-Alpiste; Gelayol Golcarenarenji; Qi Wang; Jose Maria Alcaraz-Calero. 2021. "A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3." Neural Computing and Applications , no. : 1-13.
In recent years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments. Most of these applications are oriented to locate or identify sources and measure specific features of the environment involved. In this paper, we study the application of a WASN for room acoustic measurements. To evaluate the acoustic characteristics, a set of Raspberry Pi 3 (RPi) has been used. One is used to play different acoustic signals and four are used to record at different points in the room simultaneously. The signals are sent wirelessly to a computer connected to a server, where using MATLAB we calculate both the impulse response (IR), and different acoustic parameters, such as the Speech Intelligibility Index (SII). In this way, the evaluation of room acoustic parameters with asynchronous IR measurements two different applications has been explored. Finally, the network features have been evaluated to assess the effectiveness of this system.
Jesus Lopez-Ballester; Jose Alcaraz Calero; Jaume Segura-Garcia; Santiago Felici-Castell; Miguel Garcia-Pineda; Maximo Cobos. Speech Intelligibility Analysis and Approximation to Room Parameters through the Internet of Things. Applied Sciences 2021, 11, 1430 .
AMA StyleJesus Lopez-Ballester, Jose Alcaraz Calero, Jaume Segura-Garcia, Santiago Felici-Castell, Miguel Garcia-Pineda, Maximo Cobos. Speech Intelligibility Analysis and Approximation to Room Parameters through the Internet of Things. Applied Sciences. 2021; 11 (4):1430.
Chicago/Turabian StyleJesus Lopez-Ballester; Jose Alcaraz Calero; Jaume Segura-Garcia; Santiago Felici-Castell; Miguel Garcia-Pineda; Maximo Cobos. 2021. "Speech Intelligibility Analysis and Approximation to Room Parameters through the Internet of Things." Applied Sciences 11, no. 4: 1430.
Network slicing is a primary Fifth-Generation (5G) mobile networking technology to create virtualised and softwarised logical networks for various vertical businesses with diverging Quality of Service (QoS) requirements. Meanwhile, there is a clear gap in providing network slicing capabilities in 5G multi-tenant networks to enable guaranteed QoS in terms of well-defined network metrics for the multiple tenants sharing the same physical infrastructure. This paper designs and implements novel software data path architecture that enables such network slicing with assured QoS in 5G multi-tenant networks. Highly flexible and customisable definition of network slicing is also allowed to be aligned with different existing definitions on demand and at run time. The proposed architecture has been prototyped based on the popular Open Virtual Switch (OVS), and empirically validated to demonstrate the deployment and management of network slices with the above capabilities. Intensive scalability results are provided where more than 8,192 network slices are achieved simultaneously with warranted QoS through performance isolation in terms of bandwidth and delay in a real softwarised 5G multi-tenant infrastructure at speeds of up to 10 Gbps.
Antonio Matencio-Escolar; Qi Wang; Jose M. Alcaraz Calero. SliceNetVSwitch: Definition, Design and Implementation of 5G Multi-Tenant Network Slicing in Software Data Paths. IEEE Transactions on Network and Service Management 2020, 17, 2212 -2225.
AMA StyleAntonio Matencio-Escolar, Qi Wang, Jose M. Alcaraz Calero. SliceNetVSwitch: Definition, Design and Implementation of 5G Multi-Tenant Network Slicing in Software Data Paths. IEEE Transactions on Network and Service Management. 2020; 17 (4):2212-2225.
Chicago/Turabian StyleAntonio Matencio-Escolar; Qi Wang; Jose M. Alcaraz Calero. 2020. "SliceNetVSwitch: Definition, Design and Implementation of 5G Multi-Tenant Network Slicing in Software Data Paths." IEEE Transactions on Network and Service Management 17, no. 4: 2212-2225.
The Fifth-Generation (5G) mobile networks leverage virtualisation and softwarisation to reduce both capital and operating expenditures whilst benefiting from network programmability and flexibility for various use cases. Meanwhile, virtualisation and softwarisation introduce unprecedented complexity to network infrastructure topologies, which poses substantial challenges to network topology management. This paper proposes a novel architecture to enable network administrators to achieve real-time network discovery and spatial representation of the software data path, containers, virtual machines, and geographically distributed edges to help network troubleshooting and management tasks. Another important innovation is the flexibility to support a significant number of business roles by means of a novel method to perform data model alignment between different business roles. The architecture has been designed, prototyped and validated, and experiment results have demonstrated promising scalability of the proposed solution.
Ignacio Sanchez-Navarro; Ana Serrano Mamolar; Qi Wang; Jose M. Alcaraz Calero. 5GTopoNet: Real-time topology discovery and management on 5G multi-tenant networks. Future Generation Computer Systems 2020, 114, 435 -447.
AMA StyleIgnacio Sanchez-Navarro, Ana Serrano Mamolar, Qi Wang, Jose M. Alcaraz Calero. 5GTopoNet: Real-time topology discovery and management on 5G multi-tenant networks. Future Generation Computer Systems. 2020; 114 ():435-447.
Chicago/Turabian StyleIgnacio Sanchez-Navarro; Ana Serrano Mamolar; Qi Wang; Jose M. Alcaraz Calero. 2020. "5GTopoNet: Real-time topology discovery and management on 5G multi-tenant networks." Future Generation Computer Systems 114, no. : 435-447.
The evolution of mobile multimedia computing and artificial intelligence represents a significant challenge in terms of real-time data processing and data protection management. It can be seen in the EU and US, where governments are adapting their regulation laws to meet current and future societal requirements. However, existing solutions provide limited capabilities and operate in isolation, focusing on protecting particular rights of citizens. The main contribution of the article at hand is a novel platform, called PROTECTOR, that protects sensitive data of EU and US citizens according to the rights provided by current EU/US data protection regulation laws. Three case studies prove how PROTECTOR deals with several citizen’s rights in two different legislation environments, such as the EU GDPR and the US. Finally, a pool of experiments with a different number of citizens, policies, and data have demonstrated the feasibility of the proposed solution.
Alberto Huertas Celdrán; Manuel Gil Pérez; Izidor Mlakar; Jose M. Alcaraz Calero; Félix J. García Clemente; Gregorio Martínez Pérez; Zakirul A. Bhuiyan. PROTECTOR: Towards the protection of sensitive data in Europe and the US. Computer Networks 2020, 181, 107448 .
AMA StyleAlberto Huertas Celdrán, Manuel Gil Pérez, Izidor Mlakar, Jose M. Alcaraz Calero, Félix J. García Clemente, Gregorio Martínez Pérez, Zakirul A. Bhuiyan. PROTECTOR: Towards the protection of sensitive data in Europe and the US. Computer Networks. 2020; 181 ():107448.
Chicago/Turabian StyleAlberto Huertas Celdrán; Manuel Gil Pérez; Izidor Mlakar; Jose M. Alcaraz Calero; Félix J. García Clemente; Gregorio Martínez Pérez; Zakirul A. Bhuiyan. 2020. "PROTECTOR: Towards the protection of sensitive data in Europe and the US." Computer Networks 181, no. : 107448.
Despite the latest research efforts to foster mobility and roaming in heterogeneous Low Power Wide Area Networks (LP-WANs) networks, handover roaming of Internet of Things (IoT) devices is not a success mainly due to fragmentation and difficulties to establish trust across different network domains as well as the lack of interoperability of different LP-WANs wireless protocols. To cope with this issue, this paper proposes a novel handover roaming mechanism for Low Range Wide Area Network (LoRaWAN) protocol that relies on the trusted 5G network to perform IoT device’s authentication and key management, thereby extending the mobility and roaming capabilities of LoRaWAN to global scale. The proposal enables interoperability between 5G network and LoRaWAN, whereby multi Radio Access Technologies IoT (multi-RAT IoT) devices can exploit both technologies interchangeably, thereby fostering novel IoT mobility and roaming use cases for LP-WANs not experimented so far. Two integration approaches for LoRaWAN and 5G have been proposed, either assuming 5G spectrum connectivity with standard 5G authentication or performing 5G authentication over the LoRaWAN network. The solution has been deployed, implemented and validated in a real and integrated 5G-LoRaWAN testbed, showing its feasibility and security viability.
Elena M. Torroglosa-Garcia; Jose M. Alcaraz Calero; Jorge Bernal Bernabe; Antonio Skarmeta. Enabling Roaming Across Heterogeneous IoT Wireless Networks: LoRaWAN MEETS 5G. IEEE Access 2020, 8, 103164 -103180.
AMA StyleElena M. Torroglosa-Garcia, Jose M. Alcaraz Calero, Jorge Bernal Bernabe, Antonio Skarmeta. Enabling Roaming Across Heterogeneous IoT Wireless Networks: LoRaWAN MEETS 5G. IEEE Access. 2020; 8 (99):103164-103180.
Chicago/Turabian StyleElena M. Torroglosa-Garcia; Jose M. Alcaraz Calero; Jorge Bernal Bernabe; Antonio Skarmeta. 2020. "Enabling Roaming Across Heterogeneous IoT Wireless Networks: LoRaWAN MEETS 5G." IEEE Access 8, no. 99: 103164-103180.
As the IoT adoption is growing in several fields, cybersecurity attacks involving low-cost end-user devices are increasing accordingly, undermining the expected deployment of IoT solutions in a broad range of scenarios. To address this challenge, emerging Network Function Virtualization (NFV) and Software Defined Networking (SDN) technologies can introduce new security enablers, thereby endowing IoT systems and networks with higher degree of scalability and flexibility required to cope with the security of massive IoT deployments. In this sense, honeynets can be enhanced with SDN and NFV support, to be applied into IoT scenarios thereby strengthening the overall security. IoT honeynets are virtualized services simulating real IoT networks deployments, so that attackers can be distracted from the real target. In this paper, we present a novel mechanism leveraging SDN and NFV aimed to autonomously deploy and enforce IoT honeynets. The system follows a security policy-based approach that facilitates management, enforcement and orchestration of the honeynets and it has been successfully implemented and tested in the scope of H2020 EU project ANASTACIA, showing its feasibility to mitigate cyber-attacks.
Alejandro Molina Zarca; Jorge Bernal Bernabe; Antonio Skarmeta; Jose Maria Alcaraz Calero. Virtual IoT HoneyNets to Mitigate Cyberattacks in SDN/NFV-Enabled IoT Networks. IEEE Journal on Selected Areas in Communications 2020, 38, 1262 -1277.
AMA StyleAlejandro Molina Zarca, Jorge Bernal Bernabe, Antonio Skarmeta, Jose Maria Alcaraz Calero. Virtual IoT HoneyNets to Mitigate Cyberattacks in SDN/NFV-Enabled IoT Networks. IEEE Journal on Selected Areas in Communications. 2020; 38 (6):1262-1277.
Chicago/Turabian StyleAlejandro Molina Zarca; Jorge Bernal Bernabe; Antonio Skarmeta; Jose Maria Alcaraz Calero. 2020. "Virtual IoT HoneyNets to Mitigate Cyberattacks in SDN/NFV-Enabled IoT Networks." IEEE Journal on Selected Areas in Communications 38, no. 6: 1262-1277.
The increasing popularity of video applications and ever-growing high-quality video transmissions (e.g. 4K resolutions), has encouraged other sectors to explore the growth of opportunities. In the case of health sector, mobile Health services are becoming increasingly relevant in real-time emergency video communication scenarios where a remote medical experts’ support is paramount to a successful and early disease diagnosis. To minimize the negative effects that could affect critical services in a heavily loaded network, it is essential for 5G video providers to deploy highly scalable and priorizable in-network video optimization schemes to meet the expectations of a large quantity of video treatments. This paper presents a novel 5G Video Optimizer Virtual Network Function () that leverages the latest technologies in 5G and video processing to address this important challenge. Advanced traffic filtering is coupled with Scalable H.265 video coding to enable run-time bandwidth-saving video optimization without compromising Quality of Service (QoS); kernel-space video processing is introduced to achieve further performance gains; and the use of a Virtual Network Function (VNF) facilitates dynamic deployment of virtualized video optimizers to achieve scalability and flexibility in this service. The proposed approach is implemented in a realistic 5G testbed and empirical results demonstrate the superior scalability and performance achieved.
Pablo Salva-Garcia; Jose M. Alcaraz-Calero; Qi Wang; Miguel Arevalillo-Herraez; Jorge Bernal Bernabe. Scalable Virtual Network Video-Optimizer for Adaptive Real-Time Video Transmission in 5G Networks. IEEE Transactions on Network and Service Management 2020, 17, 1068 -1081.
AMA StylePablo Salva-Garcia, Jose M. Alcaraz-Calero, Qi Wang, Miguel Arevalillo-Herraez, Jorge Bernal Bernabe. Scalable Virtual Network Video-Optimizer for Adaptive Real-Time Video Transmission in 5G Networks. IEEE Transactions on Network and Service Management. 2020; 17 (2):1068-1081.
Chicago/Turabian StylePablo Salva-Garcia; Jose M. Alcaraz-Calero; Qi Wang; Miguel Arevalillo-Herraez; Jorge Bernal Bernabe. 2020. "Scalable Virtual Network Video-Optimizer for Adaptive Real-Time Video Transmission in 5G Networks." IEEE Transactions on Network and Service Management 17, no. 2: 1068-1081.
The new Fifth-Generation (5G) mobile networks entail next-generation network management solutions to manage both physical and virtual network infrastructures and services. The challenge is to effectively manage the increased complexity due to virtualization and softwarization, whilst attempting to reduce the operational costs for 5G operators. This paper focuses on the approach of the EU Horizon 2020 5G-PPP project SliceNet to meet this challenge. SliceNet is implementing an intelligence-based autonomic end-to-end slicing-friendly infrastructure for 5G networks. The paper describes SliceNet's virtualized Mobile/Multi-access Edge Computing (MEC) infrastructure segment as a solution to manage the combination of edge and cloud computing for the new services emerging on the vertical industries as part of the new 5G mobile networks. It presents the vision and recent development of the project on the MEC part of the architecture, and the artificial intelligence approach being investigated in the project. Moreover, the paper introduces three representative use cases to describe how the framework organizes between cloud and edge. These use cases show how the MEC and cloud computing can be combined for services in e-health, smart-grids, and smart-cities verticals.
Maria Barros Weiss; Anastasius Gavras; Pablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang. Network Management - Edge and Cloud Computing The SliceNet Case. 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) 2020, 1 -6.
AMA StyleMaria Barros Weiss, Anastasius Gavras, Pablo Salva-Garcia, Jose Maria Alcaraz Calero, Qi Wang. Network Management - Edge and Cloud Computing The SliceNet Case. 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC). 2020; ():1-6.
Chicago/Turabian StyleMaria Barros Weiss; Anastasius Gavras; Pablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang. 2020. "Network Management - Edge and Cloud Computing The SliceNet Case." 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) , no. : 1-6.
Lightning and thunder are some of the most violent natural phenomena. They generate a great deal of expenditure and economic loss, especially when they strike in cities. The identification of the concrete geographic area where they strike is of critical importance for emergency services in order to enhance their effectiveness by doing an intensive coverage of the affected area. To achieve this purpose at the city scale, this paper proposes the design, prototype, and validation of a distributed network of Internet of Things (IoT) devices. The IoT devices are empowered with lightning detection capabilities and are synchronized with the other devices in the sensor network. All of them cooperate within a network that is able to locate different events thanks to a trilateration algorithm implemented in a big data environment. The designed low-cost lightning detection system is based on the AS3935 sensor. This system alone has a limited range of effective detection, but when it is embedded in an IoT mesh network, the accuracy and performance are increased. A fully operational IoT network was deployed, and a functional validation and empirical measurements are provided.
Ismael Mialdea-Flor; Jaume Segura-Garcia; Santiago Felici-Castell; Miguel Garcia-Pineda; Jose M. Alcaraz-Calero; Enrique Navarro-Camba. Development of a Low-Cost IoT System for Lightning Strike Detection and Location. Electronics 2019, 8, 1512 .
AMA StyleIsmael Mialdea-Flor, Jaume Segura-Garcia, Santiago Felici-Castell, Miguel Garcia-Pineda, Jose M. Alcaraz-Calero, Enrique Navarro-Camba. Development of a Low-Cost IoT System for Lightning Strike Detection and Location. Electronics. 2019; 8 (12):1512.
Chicago/Turabian StyleIsmael Mialdea-Flor; Jaume Segura-Garcia; Santiago Felici-Castell; Miguel Garcia-Pineda; Jose M. Alcaraz-Calero; Enrique Navarro-Camba. 2019. "Development of a Low-Cost IoT System for Lightning Strike Detection and Location." Electronics 8, no. 12: 1512.
Existing artificial intelligence solutions typically operate in powerful platforms with high computational resources availability. However, a growing number of emerging use cases such as those based on unmanned aerial systems (UAS) require new solutions with embedded artificial intelligence on a highly mobile platform. This paper proposes an innovative UAS that explores machine learning (ML) capabilities in a smartphone‐based mobile platform for object detection and recognition applications. A new system framework tailored to this challenging use case is designed with a customized workflow specified. Furthermore, the design of the embedded ML leverages TensorFlow, a cutting‐edge open‐source ML framework. The prototype of the system integrates all the architectural components in a fully functional system, and it is suitable for real‐world operational environments such as seek and rescue use cases. Experimental results validate the design and prototyping of the system and demonstrate an overall improved performance compared with the state of the art in terms of a wide range of metrics.
Ignacio Martinez‐Alpiste; Pablo Casaseca‐De‐La‐Higuera; Jose M. Alcaraz‐Calero; Christos Grecos; Qi Wang. Smartphone‐based object recognition with embedded machine learning intelligence for unmanned aerial vehicles. Journal of Field Robotics 2019, 37, 404 -420.
AMA StyleIgnacio Martinez‐Alpiste, Pablo Casaseca‐De‐La‐Higuera, Jose M. Alcaraz‐Calero, Christos Grecos, Qi Wang. Smartphone‐based object recognition with embedded machine learning intelligence for unmanned aerial vehicles. Journal of Field Robotics. 2019; 37 (3):404-420.
Chicago/Turabian StyleIgnacio Martinez‐Alpiste; Pablo Casaseca‐De‐La‐Higuera; Jose M. Alcaraz‐Calero; Christos Grecos; Qi Wang. 2019. "Smartphone‐based object recognition with embedded machine learning intelligence for unmanned aerial vehicles." Journal of Field Robotics 37, no. 3: 404-420.
The evolution of information and communications technology, and particularly the Internet of Things as the basis for the setting up of the Smart Cities, are provoking a worldwide revolution in terms of data protection management. A clear example of this shift can be seen in the European Union which is adapting the regulation to meet current society requirements, although similar initiatives are being undertaken by the rest of continents. However, existing data regulation and management solutions offer isolated tools that cover particular rights and laws and are actually not conceived to be integrated with libraries widely used by organizations to implement data management processes. To cover the previous gap, we propose a novel platform which is geared toward the protection of citizen’s sensitive data according to their data protection preferences and the rights provided by current data protection regulation laws. Finally, we present a case study to demonstrate how our platform manages data anonymization, protecting a private citizen’s right.
Alberto Huertas Celdrán; Manuel Gil Pérez; Izidor Mlakar; Jose M. Alcaraz Calero; Félix J. García Clemente; Gregorio Martínez Pérez. A Management Platform for Citizen’s Data Protection Regulation. Communications in Computer and Information Science 2019, 60 -72.
AMA StyleAlberto Huertas Celdrán, Manuel Gil Pérez, Izidor Mlakar, Jose M. Alcaraz Calero, Félix J. García Clemente, Gregorio Martínez Pérez. A Management Platform for Citizen’s Data Protection Regulation. Communications in Computer and Information Science. 2019; ():60-72.
Chicago/Turabian StyleAlberto Huertas Celdrán; Manuel Gil Pérez; Izidor Mlakar; Jose M. Alcaraz Calero; Félix J. García Clemente; Gregorio Martínez Pérez. 2019. "A Management Platform for Citizen’s Data Protection Regulation." Communications in Computer and Information Science , no. : 60-72.
Ana Serrano Mamolar; Pablo Salva-Garcia; Enrique Chirivella-Perez; Zeeshan Pervez; Jose Maria Alcaraz Calero; Qi Wang. Autonomic protection of multi-tenant 5G mobile networks against UDP flooding DDoS attacks. Journal of Network and Computer Applications 2019, 145, 1 .
AMA StyleAna Serrano Mamolar, Pablo Salva-Garcia, Enrique Chirivella-Perez, Zeeshan Pervez, Jose Maria Alcaraz Calero, Qi Wang. Autonomic protection of multi-tenant 5G mobile networks against UDP flooding DDoS attacks. Journal of Network and Computer Applications. 2019; 145 ():1.
Chicago/Turabian StyleAna Serrano Mamolar; Pablo Salva-Garcia; Enrique Chirivella-Perez; Zeeshan Pervez; Jose Maria Alcaraz Calero; Qi Wang. 2019. "Autonomic protection of multi-tenant 5G mobile networks against UDP flooding DDoS attacks." Journal of Network and Computer Applications 145, no. : 1.
Video applications are expected to increasingly dominate the traffic of mobile networks in the 5G era, and thus a real-time adaptation of these high resource demanding network applications is crucial in optimising the overall 5G networks. In this manuscript, we leverage Virtual Network Function (VNF) techniques to implement a video adaptation service that automatically adapts the quality of video transmissions depending on the status of the network. Furthermore, Network Function Virtualisation (NFV) techniques are employed here to simplify, optimise and speed up the deployment process of the aforementioned video adapter service (vAdapter), and therefore, allowing its on-demand deployment in a flexible way. We design, implement and test the scheme in a realistic virtualised 5G testbed. Empirical results focus on the scalability evaluation and performance as well as demonstrates a significant bandwidth reduction without compromising the final user’s video quality expectations.
Pablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang; Maria Barros; Anastasius Gavras. Real-Time Video Adaptation in Virtualised 5G Networks. 2019 IEEE 44th Conference on Local Computer Networks (LCN) 2019, 214 -217.
AMA StylePablo Salva-Garcia, Jose Maria Alcaraz Calero, Qi Wang, Maria Barros, Anastasius Gavras. Real-Time Video Adaptation in Virtualised 5G Networks. 2019 IEEE 44th Conference on Local Computer Networks (LCN). 2019; ():214-217.
Chicago/Turabian StylePablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang; Maria Barros; Anastasius Gavras. 2019. "Real-Time Video Adaptation in Virtualised 5G Networks." 2019 IEEE 44th Conference on Local Computer Networks (LCN) , no. : 214-217.
Network Slicing is one of the fundamental capabilities of the new Fifth-generation (5G)networks. It is defined as several logical networks that are created to fulfil specific Quality of Service (QoS)and Quality of Experience (QoE)requirements and are available over the same physical infrastructure. This paper proposes a novel extension to P4-NetFPGA framework to achieve network slicing between different 5G users in the edge-to-core network segment. This solution provides hardware-isolation of the performance in terms of bandwidth, latency and packet loss of 5G network traffic. The work proposed has been validated in a real 5G infrastructure.
Ruben Ricart-Sanchez; Pedro Malagon; Jose Maria Alcaraz Calero; Qi Wang. P4-NetFPGA-based network slicing solution for 5G MEC architectures. 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS) 2019, 1 -2.
AMA StyleRuben Ricart-Sanchez, Pedro Malagon, Jose Maria Alcaraz Calero, Qi Wang. P4-NetFPGA-based network slicing solution for 5G MEC architectures. 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). 2019; ():1-2.
Chicago/Turabian StyleRuben Ricart-Sanchez; Pedro Malagon; Jose Maria Alcaraz Calero; Qi Wang. 2019. "P4-NetFPGA-based network slicing solution for 5G MEC architectures." 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS) , no. : 1-2.
The diverging requirements from various vertical industries have driven the paradigm shift in the next‐generation (5G) mobile networks, where network slicing has emerged as a major paradigm for this purpose by sharing and isolating resources over the same 5G physical infrastructure. To truly fulfill the different quality‐of‐service (QoS) requirements imposed by different network slices for different vertical applications, it is essential to introduce a programmable data plane that is aware of QoS and is configurable to enforce the QoS commitments. In this paper, we focus on designing, prototyping, and evaluating a novel QoS‐aware data‐plane network slicing framework for the edge and core network segments of a 5G network. The proposed framework is capable of dealing with differentiated services through hardware‐based traffic classification, priority configuration, and traffic scheduling. By leveraging the latest open‐source field‐programmable gate array platform, we prototype the proposed framework and empirically evaluate the performance of the prototyped system. Experiment results demonstrate the capabilities of the proposed framework in terms of achieving QoS‐aware network slicing at the data plane.
Ruben Ricart‐Sanchez; Pedro Malagon; Antonio Matencio‐Escolar; Jose M. Alcaraz Calero; Qi Wang; Antonio Matencio-Escolar. Toward hardware‐accelerated QoS‐aware 5G network slicing based on data plane programmability. Transactions on Emerging Telecommunications Technologies 2019, 31, 1 .
AMA StyleRuben Ricart‐Sanchez, Pedro Malagon, Antonio Matencio‐Escolar, Jose M. Alcaraz Calero, Qi Wang, Antonio Matencio-Escolar. Toward hardware‐accelerated QoS‐aware 5G network slicing based on data plane programmability. Transactions on Emerging Telecommunications Technologies. 2019; 31 (1):1.
Chicago/Turabian StyleRuben Ricart‐Sanchez; Pedro Malagon; Antonio Matencio‐Escolar; Jose M. Alcaraz Calero; Qi Wang; Antonio Matencio-Escolar. 2019. "Toward hardware‐accelerated QoS‐aware 5G network slicing based on data plane programmability." Transactions on Emerging Telecommunications Technologies 31, no. 1: 1.
Future fifth-generation (5G) mobile networks entails architectural and network changes, mainly motivated by the idea of sharing resources between different network operators, which implies a reduction of the costs, thanks to the deployment of virtualised scenarios in shared infrastructures, and an improvement of the network usability. These architectural changes should guarantee that security and 5G Key Performance Indicators (KPIs) are achieved in 5G multi-tenant scenarios. The deployment of advanced architectures and network scenarios for the emerging 5G networks involves a renovation of the elements that compose them. Nowadays, there is no hardware solution which ensures the protection in 5G edge to core multi-tenant scenarios, therefore this paper proposes a fully functional 5G firewall based on a Field Programmable Gate Array (FPGA) that allows effective detention of cyber-attacks in 5G multi-tenant scenarios with user mobility support. The prototyped 5G firewall has been empirically evaluated to validate new capabilities in a 5G edge-to-core scenario. Moreover, an extensive performance and scalability test of the prototyped system has been carried out in a realistic testbed.
Ruben Ricart-Sanchez; Pedro Malagon; Jose Maria Alcaraz Calero; Qi Wang. NetFPGA-Based Firewall Solution for 5G Multi-Tenant Architectures. 2019 IEEE International Conference on Edge Computing (EDGE) 2019, 132 -136.
AMA StyleRuben Ricart-Sanchez, Pedro Malagon, Jose Maria Alcaraz Calero, Qi Wang. NetFPGA-Based Firewall Solution for 5G Multi-Tenant Architectures. 2019 IEEE International Conference on Edge Computing (EDGE). 2019; ():132-136.
Chicago/Turabian StyleRuben Ricart-Sanchez; Pedro Malagon; Jose Maria Alcaraz Calero; Qi Wang. 2019. "NetFPGA-Based Firewall Solution for 5G Multi-Tenant Architectures." 2019 IEEE International Conference on Edge Computing (EDGE) , no. : 132-136.
The Fifth Generation (5G) networks leverage softwarisation and virtualisation as cornerstones to build costeffective and flexible infrastructures and services. Mean-while, the advanced orchestrator is entailed to manage and orchestrate the resources and services at various levels of infrastructures, including the physical layer, virtualisation layer, service layer etc. The challenges become more evident when the multiple business roles, enabled by the various levels of operations in this new business model paradigm, are taken into account in an integrated operational environment. This paper proposes a new layered, inter-business vertical orchestration architecture to address the highlighted challenges in softwarised and virtualised 5G networks. The architecture distinguishes not only the infrastructure levels but also the business roles, both in an integrated framework with interactions among them specified. It is noted that the proposed vertical orchestration architecture is compatible with network slice orchestration in 5G networks. The proposed orchestration framework is prototyped in a testbed with realistic 5G infrastructures, and its performance is empirically evaluated focusing on the service creation time 5G Key Performance Indicator (KPI).
Enrique Chirivella-Perez; Pablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang; Pedro M. Neves. Inter-Business Orchestration for Resource and Service Provisioning in 5G Network Slicing. 2019 European Conference on Networks and Communications (EuCNC) 2019, 37 -41.
AMA StyleEnrique Chirivella-Perez, Pablo Salva-Garcia, Jose Maria Alcaraz Calero, Qi Wang, Pedro M. Neves. Inter-Business Orchestration for Resource and Service Provisioning in 5G Network Slicing. 2019 European Conference on Networks and Communications (EuCNC). 2019; ():37-41.
Chicago/Turabian StyleEnrique Chirivella-Perez; Pablo Salva-Garcia; Jose Maria Alcaraz Calero; Qi Wang; Pedro M. Neves. 2019. "Inter-Business Orchestration for Resource and Service Provisioning in 5G Network Slicing." 2019 European Conference on Networks and Communications (EuCNC) , no. : 37-41.