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The semantic web is considered to be an extension of the present web. In the semantic web, information is given with well-defined meanings, and thus helps people worldwide to cooperate together and exchange knowledge. The semantic web plays a significant role in describing the contents and services in a machine-readable form. It has been developed based on ontologies, which are deemed the backbone of the semantic web. Ontologies are a key technique with which semantics are annotated, and they provide common comprehensible foundation for resources on the semantic web. The use of semantics and artificial intelligence leads to what is known to be “Smarter Web”, where it will be easy to retrieve what customers want to see on e-commerce platforms, and thus will help users save time and enhance their search for the products they need. The semantic web is used as well as webs 3.0, which helps enhancing systems performance. Previous personalized recommendation methods based on ontologies identify users’ preferences by means of static snapshots of purchase data. However, as the user preferences evolve with time, the one-shot ontology construction is too constrained for capturing individual diverse opinions and users’ preferences evolution over time. This paper will present a novel recommendation system architecture based on ontology evolution, the proposed subsystem architecture for ontology evolution. Furthermore, the paper proposes an ontology building methodology based on a semi-automatic technique as well as development of online retail ontology. Additionally, a recommendation method based on the ontology reasoning is proposed. Based on the proposed method, e-retailers can develop a more convenient product recommendation system to support consumers’ purchase decisions.
Rana Alaa; Mariam Gawish; Manuel Fernández-Veiga. Improving Recommendations for Online Retail Markets Based on Ontology Evolution. Electronics 2021, 10, 1650 .
AMA StyleRana Alaa, Mariam Gawish, Manuel Fernández-Veiga. Improving Recommendations for Online Retail Markets Based on Ontology Evolution. Electronics. 2021; 10 (14):1650.
Chicago/Turabian StyleRana Alaa; Mariam Gawish; Manuel Fernández-Veiga. 2021. "Improving Recommendations for Online Retail Markets Based on Ontology Evolution." Electronics 10, no. 14: 1650.
Non-orthogonal multiple access (NOMA) techniques have emerged in the past years as a solution to approximate the throughput performance of wireless communications systems to their theoretical capacity region. We consider in this paper an optimization-based model for multicast device-to-device (MD2D) communications where the channels are not orthogonal and may be (partially or fully) shared among the transmitters in each cluster. This setting leads naturally to the introduction of NOMA transmitters and receivers who use successive interference cancellation (SIC) to separate the superposed signals. To analyze the role of NOMA in MD2D, its performance impact, potential performance gains and possible shortcomings, we formulate a model that includes SIC operations in the decoders, so that higher rates can be attained when several sources transmit on the same channel(s). We also investigate the energy efficiency of the network (global and max-min) through a dynamic power control algorithm and present a centralized and a semi-distributed solution to these optimization problems. Through numerical simulations, we show that NOMA is able to improve both the sum-rate and the max-min rate of a MD2D network even from a small degree of resource sharing. Furthermore, these gains also improve the global energy efficiency on the network, but not always the max-min energy efficiency of the devices.
Mariem Hmila; Manuel Fernández-Veiga; Miguel Rodríguez-Pérez; Sergio Herrería-Alonso. Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency. Sensors 2021, 21, 3436 .
AMA StyleMariem Hmila, Manuel Fernández-Veiga, Miguel Rodríguez-Pérez, Sergio Herrería-Alonso. Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency. Sensors. 2021; 21 (10):3436.
Chicago/Turabian StyleMariem Hmila; Manuel Fernández-Veiga; Miguel Rodríguez-Pérez; Sergio Herrería-Alonso. 2021. "Non-Orthogonal Multiple Access for Unicast and Multicast D2D: Channel Assignment, Power Allocation and Energy Efficiency." Sensors 21, no. 10: 3436.
A. Vázquez-Saavedra; G. Jiménez-Balsa; J. Loureiro-Acuña; M. Fernández-Veiga; A. Pedrouzo-Ulloa. Homomorphic SVM Inference for Fraud Detection. Investigación en Ciberseguridad 2021, 1 .
AMA StyleA. Vázquez-Saavedra, G. Jiménez-Balsa, J. Loureiro-Acuña, M. Fernández-Veiga, A. Pedrouzo-Ulloa. Homomorphic SVM Inference for Fraud Detection. Investigación en Ciberseguridad. 2021; ():1.
Chicago/Turabian StyleA. Vázquez-Saavedra; G. Jiménez-Balsa; J. Loureiro-Acuña; M. Fernández-Veiga; A. Pedrouzo-Ulloa. 2021. "Homomorphic SVM Inference for Fraud Detection." Investigación en Ciberseguridad , no. : 1.
In order to meet the requirements of services and applications envisioned for post-5G and 6G networks, research efforts are heading towards the convergence of architectures aiming to support the wide variety of new compute-demanding and latency-sensitive applications in the context of Tactile Internet. In this paper, we study the resource allocation and association of users with different delay requirements in a shared-backhaul fiber-wireless (FiWi) enhanced Heterogeneous Cloud Radio Access Network (H-CRAN) with Multi-access Edge Computing (MEC) and offloading. As opposed to traditional resource and association management, we propose a decentralized algorithm based on a full dual decomposition of the optimization problem to operate the network. Results show that this approach outperforms the traditional one in terms of average delay and energy consumption, achieving up to 80% average delay improvement in high-load scenarios.
Gabriel Otero Perez; Amin Ebrahimzadeh; Martin Maier; Jose Alberto Hernandez; David Larrabeiti Lopez; Manuel Fernandez Veiga. Decentralized Coordination of Converged Tactile Internet and MEC Services in H-CRAN Fiber Wireless Networks. Journal of Lightwave Technology 2020, 38, 4935 -4947.
AMA StyleGabriel Otero Perez, Amin Ebrahimzadeh, Martin Maier, Jose Alberto Hernandez, David Larrabeiti Lopez, Manuel Fernandez Veiga. Decentralized Coordination of Converged Tactile Internet and MEC Services in H-CRAN Fiber Wireless Networks. Journal of Lightwave Technology. 2020; 38 (18):4935-4947.
Chicago/Turabian StyleGabriel Otero Perez; Amin Ebrahimzadeh; Martin Maier; Jose Alberto Hernandez; David Larrabeiti Lopez; Manuel Fernandez Veiga. 2020. "Decentralized Coordination of Converged Tactile Internet and MEC Services in H-CRAN Fiber Wireless Networks." Journal of Lightwave Technology 38, no. 18: 4935-4947.
In this paper, we optimize the energy efficiency (bits/s/Hz/J) of device-to-multi-device (D2MD) wireless communications. While the device-to-device scenario has been extensively studied to improve the spectral efficiency in cellular networks, the use of multicast communications opens the possibility of reusing the spectrum resources also inside the groups. The optimization problem is formulated as a mixed integer nonlinear joint optimization for the power control and allocation of resource blocks (RBs) to each group. Our model explicitly considers resource sharing by letting co-channel transmission over a RB (up to a maximum of r transmitters) and/or transmission through s different channels in each group. We use an iterative decomposition approach, using first matching theory to find a stable even if sub-optimal channel allocation, to then optimize the transmission power vectors in each group via fractional programming. Additionally, within this framework, both the network energy efficiency and the max-min individual energy efficiency are investigated. We characterize numerically the energy-efficient capacity region, and our results show that the normalized energy efficiency is nearly optimal (above 90% of the network capacity) for a wide range of minimum-rate constraints. This performance is better than that of other matching-based techniques previously proposed.
Mariem Hmila; Manuel Fernandez-Veiga; Miguel Rodriguez-Perez; Sergio Herreria-Alonso. Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications. IEEE Transactions on Communications 2019, 67, 5817 -5832.
AMA StyleMariem Hmila, Manuel Fernandez-Veiga, Miguel Rodriguez-Perez, Sergio Herreria-Alonso. Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications. IEEE Transactions on Communications. 2019; 67 (8):5817-5832.
Chicago/Turabian StyleMariem Hmila; Manuel Fernandez-Veiga; Miguel Rodriguez-Perez; Sergio Herreria-Alonso. 2019. "Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications." IEEE Transactions on Communications 67, no. 8: 5817-5832.
Sergio Herreria-Alonso; Miguel Rodriguez-Perez; Manuel Fernandez-Veiga; Candido Lopez-Garcia. Dynamic EEE Coalescing: Techniques and Bounds. IEEE Transactions on Green Communications and Networking 2019, 3, 205 -214.
AMA StyleSergio Herreria-Alonso, Miguel Rodriguez-Perez, Manuel Fernandez-Veiga, Candido Lopez-Garcia. Dynamic EEE Coalescing: Techniques and Bounds. IEEE Transactions on Green Communications and Networking. 2019; 3 (1):205-214.
Chicago/Turabian StyleSergio Herreria-Alonso; Miguel Rodriguez-Perez; Manuel Fernandez-Veiga; Candido Lopez-Garcia. 2019. "Dynamic EEE Coalescing: Techniques and Bounds." IEEE Transactions on Green Communications and Networking 3, no. 1: 205-214.
Both economic and environmental costs are driving much research in the area of the energy efficiency of networking equipment. This research has produced a great amount of proposals. However, the majority of them remain unimplemented due to the lack of flexibility of current hardware devices and a certain lack of enthusiasm from commercial vendors. At the same time, Software-Defined Networking (SDN) has allowed customers to control switching decisions with a flexibility and precision previously unheard of. This paper explores the potential convergence between the two aforementioned trends and presents a promising power saving algorithm that can be implemented using standard SDN capabilities of current switches, reducing operation costs on both data centers and wired access networks. In particular, we focus on minimizing the energy consumption in bundles of energy-efficient Ethernet links leveraging SDN. For this, we build on an existing theoretical algorithm and adapt it for implementing with an SDN solution. We study several approaches and compare the resulting algorithms not only according to their energy efficiency, but also taking into account additional QoS metrics. The results show that the resulting algorithm is able to closely match the theoretical results, even when taking into account the requirements of delay-sensitive traffic.
Pablo Fondo-Ferreiro; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Sergio Herrería-Alonso. Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay. Sensors 2018, 18, 3915 .
AMA StylePablo Fondo-Ferreiro, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, Sergio Herrería-Alonso. Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay. Sensors. 2018; 18 (11):3915.
Chicago/Turabian StylePablo Fondo-Ferreiro; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Sergio Herrería-Alonso. 2018. "Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay." Sensors 18, no. 11: 3915.
In underlay device-to-device multicast communication (D2MD), a group of users can communicate directly by reusing cellular resources blocks (RB) to share common content. This paradigm brings great benefits to cellular networks in term of energy and spectral efficiency. However, D2MD or cellular communication quality may degrade or blocked due to harmful mutual interference between cellular, D2MD users sharing the same communication resources. Therefore, to fully achieve the advantages of D2MD communication, resource management and power control became critical. In this paper, we model the join power and resource allocation as a mixed integer nonlinear problem (MINLP) to maximize network global energy efficiency (GEE). To coup with NP-hard nature of the problem, we investigate a two stages solution. At first, we propose a scheme based on matching theory to solve resource allocation sub-problem. Here, we introduce a reuse and a split factor to control the aggregated interference on CUE from D2MD and the number of RB used by each group. Second, we apply the framework of fractional programming to optimally solve the power control sub-problem subject to QoS constraints. Finally, GEE metric is analysed via extensive numerical simulations with a spatial Poisson process for the users' locations and applying different clustering algorithms as K-nearest neighbour, distance limit.
Mariem Hmila; Manuel Fernandez-Veiga; Miguel Rodriguez-Perez. Matching-Theory-Based Resource Allocation for Underlay Device to Multi-Device Communications. 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2018, 28 -35.
AMA StyleMariem Hmila, Manuel Fernandez-Veiga, Miguel Rodriguez-Perez. Matching-Theory-Based Resource Allocation for Underlay Device to Multi-Device Communications. 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2018; ():28-35.
Chicago/Turabian StyleMariem Hmila; Manuel Fernandez-Veiga; Miguel Rodriguez-Perez. 2018. "Matching-Theory-Based Resource Allocation for Underlay Device to Multi-Device Communications." 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) , no. : 28-35.
Pablo Fondo-Ferreiro; Miguel Rodriguez-Perez; Manuel Fernandez-Veiga. QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks. 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) 2018, 1 .
AMA StylePablo Fondo-Ferreiro, Miguel Rodriguez-Perez, Manuel Fernandez-Veiga. QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks. 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). 2018; ():1.
Chicago/Turabian StylePablo Fondo-Ferreiro; Miguel Rodriguez-Perez; Manuel Fernandez-Veiga. 2018. "QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks." 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) , no. : 1.
Energy efficiency of cellular networks can be greatly improve if base stations (BSs) can be put into a low power operation mode during low load periods. In this paper, we present a new dynamic scheme to manage the sleep mode of energy-aware BSs that can be autonomously governed. This kind of BSs, such as those operating in heterogeneous or hyper-cellular networks, can be put to sleep without causing undesired coverage holes, thus preserving the cellular service over the whole coverage area. With the proposed mechanism, energy-aware BSs enter the sleep mode as soon as they have no traffic to send and then apply a coalescing algorithm that dynamically adjusts the length of the sleeping periods to maximize the energy savings while maintaining the average service delay around a target value at the same time.
Sergio Herrería-Alonso; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Cándido López-García. An optimal dynamic sleeping control policy for single base stations in green cellular networks. Journal of Network and Computer Applications 2018, 116, 86 -94.
AMA StyleSergio Herrería-Alonso, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, Cándido López-García. An optimal dynamic sleeping control policy for single base stations in green cellular networks. Journal of Network and Computer Applications. 2018; 116 ():86-94.
Chicago/Turabian StyleSergio Herrería-Alonso; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Cándido López-García. 2018. "An optimal dynamic sleeping control policy for single base stations in green cellular networks." Journal of Network and Computer Applications 116, no. : 86-94.
Earlier studies have shown the power of online learning systems data to develop prediction methods that try to identify successful students patterns of accomplishment and engagement to allow timely pedagogical interventions. Our learning platform, SocialWire, collects a detailed record of the students' activity so, in this paper, we compare and combine the power of different classifiers for success/failure learning prediction, using as inputs some of the features that have measurable correlation with the students' performance. The main conclusion is that, for the courses in study, it is not the type of event/activity initiated by the student what best predicts his/her final grade, but the pace of the events he/she was engaged in.
María E. Sousa-Vieira; Jose C. Lopez-Ardao; Manuel Fernández-Veiga; Orlando Ferreira-Pires; Miguel Rodríguez-Pérez; Raúl F. Rodríguez-Rubio. Prediction of learning success/failure via pace of events in a social learning network platform. Computer Applications in Engineering Education 2018, 26, 2047 -2057.
AMA StyleMaría E. Sousa-Vieira, Jose C. Lopez-Ardao, Manuel Fernández-Veiga, Orlando Ferreira-Pires, Miguel Rodríguez-Pérez, Raúl F. Rodríguez-Rubio. Prediction of learning success/failure via pace of events in a social learning network platform. Computer Applications in Engineering Education. 2018; 26 (6):2047-2057.
Chicago/Turabian StyleMaría E. Sousa-Vieira; Jose C. Lopez-Ardao; Manuel Fernández-Veiga; Orlando Ferreira-Pires; Miguel Rodríguez-Pérez; Raúl F. Rodríguez-Rubio. 2018. "Prediction of learning success/failure via pace of events in a social learning network platform." Computer Applications in Engineering Education 26, no. 6: 2047-2057.
Networking operational costs and environmental concerns have lately driven the quest for energy efficient equipment. In wired networks, energy efficient Ethernet (EEE) interfaces can greatly reduce power demands when compared to regular Ethernet interfaces. Their power saving capabilities have been studied and modeled in many research articles in the last few years, together with their effects on traffic delay. However, to this date, all articles have considered them in isolation instead of as part of a network of EEE interfaces. In this paper we develop a model for the traffic delay on a network of EEE interfaces. We prove that, whatever the network topology, the per interface delay increment due to the power savings capabilities is bounded and, in most scenarios, negligible. This confirms that EEE interfaces can be used in all but the most delay constrained scenarios to save considerable amounts of power.
Miguel Rodriguez-Perez; Sergio Herreria-Alonso; Manuel Fernandez-Veiga; Candido Lopez-Garcia. Delay Properties of Energy Efficient Ethernet Networks. IEEE Communications Letters 2017, 21, 1 -1.
AMA StyleMiguel Rodriguez-Perez, Sergio Herreria-Alonso, Manuel Fernandez-Veiga, Candido Lopez-Garcia. Delay Properties of Energy Efficient Ethernet Networks. IEEE Communications Letters. 2017; 21 (10):1-1.
Chicago/Turabian StyleMiguel Rodriguez-Perez; Sergio Herreria-Alonso; Manuel Fernandez-Veiga; Candido Lopez-Garcia. 2017. "Delay Properties of Energy Efficient Ethernet Networks." IEEE Communications Letters 21, no. 10: 1-1.
In this paper, we study new schemes to maximize network and users' minimum EE energy efficiency through transmission power control. The problem is formulated as fractional optimization programming and solved with a successive convex approximation. The EE metrics are analysed via extensive numerical simulations under different clustering algorithms, namely a variant of nearest neighbor clustering and clusters with a distance limit between transmitters and receivers.
Mariem Hmila; Manuel Fernandez-Veiga. Analysis of optimal power control and energy efficiency in multicast D2D communications. 2017 2nd International Conference on Computer and Communication Systems (ICCCS) 2017, 110 -115.
AMA StyleMariem Hmila, Manuel Fernandez-Veiga. Analysis of optimal power control and energy efficiency in multicast D2D communications. 2017 2nd International Conference on Computer and Communication Systems (ICCCS). 2017; ():110-115.
Chicago/Turabian StyleMariem Hmila; Manuel Fernandez-Veiga. 2017. "Analysis of optimal power control and energy efficiency in multicast D2D communications." 2017 2nd International Conference on Computer and Communication Systems (ICCCS) , no. : 110-115.
Part 4: Network ProtocolsInternational audienceUnderlay device to device multicast communication brings great benefits to cellular networks in term of energy and spectral efficiency, since a group of users can communicate directly by reusing cellular resources. In this paper, we propose a scheme to maximize network energy efficiency (EE) through transmission power control. In addition, to get a compromise between fairness and the overall EE, we analyse a second scheme with fairness factors to maximize minimum individual EE. The problem is formulated as a fractional programming optimization and solved with iterative algorithm. Two different EE metrics are analysed via extensive numerical simulations with a spatial Poisson process for the users’ locations, and applying different clustering algorithms as K-nearest neighbour, distance limit and DBSCAN
Mariem Hmila; Manuel Fernández Veiga. Energy-Efficient Power Control and Clustering in Underlay Device to Multi-device Communications. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 194 -206.
AMA StyleMariem Hmila, Manuel Fernández Veiga. Energy-Efficient Power Control and Clustering in Underlay Device to Multi-device Communications. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; ():194-206.
Chicago/Turabian StyleMariem Hmila; Manuel Fernández Veiga. 2017. "Energy-Efficient Power Control and Clustering in Underlay Device to Multi-device Communications." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 194-206.
The widespread use of computing and communications technologies has enabled the popularity of social networks oriented to learn. In this work, we study the nature and strength of associations between students using an online social network embedded in a learning management system. With datasets from three offerings of the same course, we mined the sequences of questions and answers posted by the students to identify structural properties of the social graph, patterns of collaboration among students and factors influencing the final academic achievements. The results show some hints to understand how users react to incentives in online social learning systems, useful for instance to measure the effectiveness of the learning tasks based on the patterns of students’ participation in the platform and adapt their design, or as early predictors of academic performance.
María E. Sousa-Vieira; Jose Carlos Lopez-Ardao; Manuel Fernández Veiga; Miguel Rodríguez Pérez; Cándido López-García. Mining relationships in learning-oriented social networks. Computer Applications in Engineering Education 2017, 25, 769 -784.
AMA StyleMaría E. Sousa-Vieira, Jose Carlos Lopez-Ardao, Manuel Fernández Veiga, Miguel Rodríguez Pérez, Cándido López-García. Mining relationships in learning-oriented social networks. Computer Applications in Engineering Education. 2017; 25 (5):769-784.
Chicago/Turabian StyleMaría E. Sousa-Vieira; Jose Carlos Lopez-Ardao; Manuel Fernández Veiga; Miguel Rodríguez Pérez; Cándido López-García. 2017. "Mining relationships in learning-oriented social networks." Computer Applications in Engineering Education 25, no. 5: 769-784.
The IEEE 802.3bj standard defines two potential low power operating modes for high speed Energy Efficient Ethernet (EEE) physical interfaces working at 40 and 100Gb/s: a not-soefficient low power mode that requires very short transition times to restore normal operation (Fast-Wake) and a highly efficient low power mode with longer transition times (Deep-Sleep). In this paper, we present a new frame coalescing mechanism that dynamically adjusts the coalescing queue threshold in order to minimize the energy consumption of dual-mode EEE interfaces and maintains, at the same time, the average frame delay close to a target value. The proposed mechanism has been validated through simulation under different types of traffic (Poisson, selfsimilar and real Internet traffic). Additionally, we show that, with the current transition times and efficiency profiles of the standardized low power modes, our proposal renders the Fast- Wake mode unnecessary in most practical scenarios.
Sergio Herreria-Alonso; Miguel Rodriguez Perez; Manuel Fernandez-Veiga; Candido Lopez-Garcia. Optimizing Dual-Mode EEE Interfaces: Deep-Sleep Is Healthy. IEEE Transactions on Communications 2017, 1 -1.
AMA StyleSergio Herreria-Alonso, Miguel Rodriguez Perez, Manuel Fernandez-Veiga, Candido Lopez-Garcia. Optimizing Dual-Mode EEE Interfaces: Deep-Sleep Is Healthy. IEEE Transactions on Communications. 2017; ():1-1.
Chicago/Turabian StyleSergio Herreria-Alonso; Miguel Rodriguez Perez; Manuel Fernandez-Veiga; Candido Lopez-Garcia. 2017. "Optimizing Dual-Mode EEE Interfaces: Deep-Sleep Is Healthy." IEEE Transactions on Communications , no. : 1-1.
María Estrella Sousa Vieira; J. C. López-Ardao; M. Fernández-Veiga. Characterizing Social Interactions in Online Social Networks: The Case of University Students. Proceedings of the 9th International Conference on Computer Supported Education 2017, 188 -199.
AMA StyleMaría Estrella Sousa Vieira, J. C. López-Ardao, M. Fernández-Veiga. Characterizing Social Interactions in Online Social Networks: The Case of University Students. Proceedings of the 9th International Conference on Computer Supported Education. 2017; ():188-199.
Chicago/Turabian StyleMaría Estrella Sousa Vieira; J. C. López-Ardao; M. Fernández-Veiga. 2017. "Characterizing Social Interactions in Online Social Networks: The Case of University Students." Proceedings of the 9th International Conference on Computer Supported Education , no. : 188-199.
It is commonly accepted that contemporary cohorts of students witness and experience the benefits of information technologies in their learning processes. The so‐called “digital natives” acquire, as a consequence of their early exposure to these technologies, different patterns of work, distinct attention conducts, new learning preferences and, generally, better skills for learning and working within rich online social contexts. So, it seems reasonable that the traditional education systems evolve and shape their practice to leverage those new patterns. Despite the fact that online social networks (osns) are widely recognized as a powerful vector for adding a new social dimension to the learning management systems (lmss), osns do not fully integrate the specific features of the learning process yet and traditional lmss do not exploit the advantages of an active social environment for reinforcing the learning experience. In this paper, we report the design, implementation, and use of a software platform (SocialWire) that leverages on the basic capabilities of an osn and extends the functionality toward its use in very general learning environments. We argue that this approach, together with gamification elements, is helpful in increasing the students’ motivation, besides improving the learning experience and performance. This software system has been in use for 3 years in different subject areas in our university. Our outcomes and the feedback provided both by teachers and students support the introduction of social features, gamification elements, and informal processes into the traditional teaching practices. © 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:813–826, 2016; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21746
María Estrella Sousa Vieira; Jose Carlos López‐Ardao; Manuel Fernández-Veiga; Miguel Rodríguez-Pérez; Sergio Herrería-Alonso. An open-source platform for using gamification and social learning methodologies in engineering education: Design and experience. Computer Applications in Engineering Education 2016, 24, 813 -826.
AMA StyleMaría Estrella Sousa Vieira, Jose Carlos López‐Ardao, Manuel Fernández-Veiga, Miguel Rodríguez-Pérez, Sergio Herrería-Alonso. An open-source platform for using gamification and social learning methodologies in engineering education: Design and experience. Computer Applications in Engineering Education. 2016; 24 (5):813-826.
Chicago/Turabian StyleMaría Estrella Sousa Vieira; Jose Carlos López‐Ardao; Manuel Fernández-Veiga; Miguel Rodríguez-Pérez; Sergio Herrería-Alonso. 2016. "An open-source platform for using gamification and social learning methodologies in engineering education: Design and experience." Computer Applications in Engineering Education 24, no. 5: 813-826.
Rising energy consumption of IT infrastructure concerns have spurred the development of more power efficient networking equipment and algorithms. When \emph{old} equipment just drew an almost constant amount of power regardless of the traffic load, there were some efforts to minimize the total energy usage by modifying routing decisions to aggregate traffic in a minimal set of links, creating the opportunity to power off some unused equipment during low traffic periods. New equipment, with power profile functions depending on the offered load, presents new challenges for optimal routing. The goal now is not just to power some links down, but to aggregate and/or spread the traffic so that devices operate in their sweet spot in regards to network usage. In this paper we present an algorithm that, making use of the ant colonization algorithm, computes, in a decentralized manner, the routing tables so as to minimize global energy consumption. Moreover, the resulting algorithm is also able to track changes in the offered load and react to them in real time.Comment: Accepted version of the manuscript. 12 page
Miguel Rodríguez-Pérez; Sergio Herrería-Alonso; Manuel Fernández-Veiga; Cándido López-García. An ant colonization routing algorithm to minimize network power consumption. Journal of Network and Computer Applications 2015, 58, 217 -226.
AMA StyleMiguel Rodríguez-Pérez, Sergio Herrería-Alonso, Manuel Fernández-Veiga, Cándido López-García. An ant colonization routing algorithm to minimize network power consumption. Journal of Network and Computer Applications. 2015; 58 ():217-226.
Chicago/Turabian StyleMiguel Rodríguez-Pérez; Sergio Herrería-Alonso; Manuel Fernández-Veiga; Cándido López-García. 2015. "An ant colonization routing algorithm to minimize network power consumption." Journal of Network and Computer Applications 58, no. : 217-226.
The IEEE has recently released the 802.3bj standard that defines two different low power operating modes for high speed Energy Efficient Ethernet physical interfaces (PHYs) working at 40 and 100 Gb/s. In this paper, we propose the use of the well-known frame coalescing algorithm to manage them and provide an analytical model to evaluate the influence of coalescing parameters and PHY characteristics on their power consumption.
Sergio Herreria-Alonso; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Cándido López-García. Frame Coalescing in Dual-Mode EEE. 2015, 1 .
AMA StyleSergio Herreria-Alonso, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, Cándido López-García. Frame Coalescing in Dual-Mode EEE. . 2015; ():1.
Chicago/Turabian StyleSergio Herreria-Alonso; Miguel Rodríguez-Pérez; Manuel Fernández-Veiga; Cándido López-García. 2015. "Frame Coalescing in Dual-Mode EEE." , no. : 1.