EXTENSIONES AL LENGUAJE ADA Y A LOS SERVICIOS POSIX PARA PLANIFICACIÓN EN SISTEMAS DE TIEMPO REAL ESTRICTO

Esta tesis se ha centrado en el estudio de las políticas basadas en la extracción de holgura y en la asignación dual de prioridades, ambas orientadas a dar servicio a tareas aperiódicas en sistemas real estricto. Estas políticas constituyen una interesante alternativa a las políticas basadas en servidores de carga aperiódicas y han sido ampliamente estudiadas en numerosos trabajos. No obstante, la posibilidad de ser aplicables en la práctica todavía no había sido evaluada en detalle, y éste ha sido el principal objetivo de esta tesis. En este trabajo, ambas políticas son revisadas en profundidad. En el caso de la política basada en la extracción de holgura, algunas de sus principales debilidades han sido corregidas. En particular, se muestra que es posible compartir recursos entre tareas críticas y aperiódicas de una forma sencilla y eficiente, utilizando para ello los mismos protocolos de herencia de prioridad que pueden aplicarse en sistemas en los que sólo existen tareas críticas. La aplicabilidad de estas políticas ha sido valorada incorporándolas en los dos entornos más relevantes hoy en día para la programación de sistemas de tiempo real estricto, el lenguaje de programación Ada y los servicios POSIX. Con este fin se han definido nuevas interfaces para ambas políticas en estos entornos, coherentes con sus principios de diseño y con los servicios que actualmente ofrecen. El diseño de estas interfaces ha supuesto una adaptación de ambas políticas buscando, en todo momento, un equilibrio entre prestaciones y eficiencia. Como parte de este diseño, estas interfaces han sido implementadas en el sistema operativo MaRTE OS. El proceso de implementación ha servido para validar las distintas alternativas qu ehan sido consideradas. Un aspecto importante de una política de planificación en su eficiencia, por lo que este aspecto ha sido evaluado en detalle. Se ha caracterizado de forma analítica el efectoABSTRACT: This thesis is centered on the study of slack stealing and dual priority scheduling policies, both oriented to serve aperiodic tasks in hard real-time systems. These polices, largely studied in previous work, constitute an interesting alternative to policies based on aperiodic servers. However, the possibility of actually being put into practice had not been yet exhaustively evaluated. This has been the main objective of this thesis. Both policies are profoundly revised in this dissertation. In the case of the slack stealing policy, some of its weaknesses have been solved. In particular, this thesis shows that it is possible to share resources between hard and aperiodic tasks in a simple and efficient manner. This can be done by using the same priority inheritance protocols which are used in systems comprising hard tasks only. The applicability of these scheduling policies has been evaluated by means of their incorporation into the two most relevant hard real-time programming environments in use nowadays, the Ada programming language and the POSIX set of services. In order to fulfill this purpose, new interfaces for both policies have been defined in these two environments. These interfaces have been designed in order to be coherent with the environments¿ design principles and the services they currently support. This design has involved the adaptation of the original scheduling policies, trying to optimize the balance between performance and efficiency. As a part of this design, both interfaces have been implemented in the MaRTE OS operating system. These implementations have been useful for validating the different alternatives which have been considered throughout the design process. Since efficiency is an important aspect of any scheduling policy, this aspect has been extremely evaluated in this work. The effect of the implementation of both policies to the task response times has been analytically characterized. This effect has also been quantified, and then the efficiency of both policies has been compared with the fixed-priority preemptive scheduling policy, which is the one normally used in hard real-time systems. The results of this comparative study show that, although the overhead introduced by any VIII ABSTRACT of the two new policies is significant, this overhead lies in a reasonable range. The recently approved POSIX trace services have also been studied in this thesis. The necessity of having some analysis and measurement tools available for the efficiency studies carried out in this thesis led to the incorporation of these services into MaRTE OS. Related to this, a new POSIX/Ada interface for the trace services has also been proposed. In addition, the problem of obtaining temporal metrics of the system from the information of the traces has also been covered.Espinosa Minguet, AR. (2003). EXTENSIONES AL LENGUAJE ADA Y A LOS SERVICIOS POSIX PARA PLANIFICACIÓN EN SISTEMAS DE TIEMPO REAL ESTRICTO [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1774

Experiencia de la aplicación de la metodología Flipped-Teaching en la asignatura Concurrencia y Sistemas Distribuidos

[EN] The Flipped-Teaching methodology inverts the traditional model of teaching, so now students, by themselves, take initial contact with each unit through a series of videos and readings, while classroom sessions mainly focus on resolving exercises, solving doubts, and discussing those aspects that require clarification. In this work, we present the scheduling and methods used in the course "Concurrency and Distributed Systems”, a 2nd year mandatory subject of Computer Engineering Degree, following the Flipped-Teaching methodology. This helps us to increase student motivation and involvement as well as improve their self-learning. To this end, we generated a wide visual material of the theoretical part of the course, complemented by guidelines that specify the tasks to perform after viewing each video. The student motivation for this type of approach has been enormous, clearly reflected in their active participation in class and on the good results of the tests conducted so far.[ES] La metodología de clase inversa (Flipped-Teaching) consiste en invertir el modelo tradicional de docencia, siendo ahora los alumnos quienes, en su casa, tomen contacto inicial con cada unidad temática, a través de una serie de vídeos y lecturas confeccionados por los profesores, mientras que las sesiones de aula se centran en realizar ejercicios, resolver dudas y discutir aquellos aspectos que se requiera clarificar. En este trabajo se presenta la organización de la docencia y los métodos utilizados en la asignatura “Concurrencia y Sistemas Distribuidos”, obligatoria de 2º curso del Grado de Ingeniería Informática, aplicando la metodología Flipped-Teaching, con el propósito de aumentar la motivación e implicación del alumno, así como mejorar su aprendizaje autónomo y significativo. Para ello, se ha generado un amplio material visual de la parte teórica de la asignatura, complementándose con guías que especifican las tareas a realizar tras visualizar cada vídeo. La motivación de los alumnos por este tipo de metodología ha sido enorme, reflejándose claramente en su participación activa durante las clases, así como en los buenos resultados de los exámenes realizados hasta el momento.Argente Villaplana, E.; Espinosa Minguet, AR.; García-Fornes, A. (2015). Experiencia de la aplicación de la metodología Flipped-Teaching en la asignatura Concurrencia y Sistemas Distribuidos. Editorial Universitat Politècnica de València. https://doi.org/10.4995/INRED2015.2015.1544

Aplicando la metodología Flipped-Teaching en el Grado de Ingeniería Informática: Una experiencia práctica

[ES] En el Grado de Ingeniería Informática de la Universitat Politècnica de València se llevó a cabo durante el curso 2014-15 una experiencia piloto de aplicación de la metodología Flipped-Teaching en todas las asignaturas obligatorias de segundo curso del grado. La metodología Flipped-Teaching (o clase inversa) consiste en invertir el modelo tradicional de docencia, de modo que la lección magistral habitual de aula se sustituye por un conjunto de materiales en línea (vídeos, lecturas, etc.) que el alumno debe revisar previa a su asistencia a clase. Por su parte, las sesiones de aula se transforman en sesiones fundamentalmente prácticas, con actividades individuales o en grupo, pensadas principalmente para la resolución de ejercicios y problemas, la aclaración de dudas y la discusión sobre aspectos relevantes. En este trabajo se presenta la organización de la docencia, los métodos utilizados, así como la evaluación de la experiencia y los resultados obtenidos para una de las asignaturas del Grado de Ingeniería Informática en las que se aplicó esta metodología, en concreto "Concurrencia y Sistemas Distribuidos". La metodología Flipped-Teaching nos ha permitido aumentar la motivación y participación de los estudiantes así como mejorar su proceso de autoaprendizaje. La motivación de los alumnos ha sido enorme, reflejándose claramente tanto en su participación activa en la clase como por los buenos resultados de evaluación obtenidos.[EN] During season 2014-2015, an interesting experience of Flipped-Teaching methodology was applied in all subjects of second grade of Computer Engineering Degree at Universitat Politècnica de València. The Flipped-Teaching methodology inverts the traditional model of teaching, so now students can take an initial contact with each unit through a series of videos and readings, whereas classroom sessions are mainly focused on resolving exercises, solving doubts, and discussing those aspects that require clarification. In this work, we present the scheduling and methods used, as well as the evaluation of the experience in the subject "Concurrency and Distributed Systems" of Computer Engineering Degree. The Flipped-Teaching methodology has helped us to increase student motivation and involvement as well as to improve student self-learning process. All this has been clearly shown in student active participation in class and in the good results of their exams.Este trabajo ha sido parcialmente financiado porla Escola Tècnica Superior d’Enginyeria Informàtica de la Universitat Politècnica de València.Argente Villaplana, E.; García-Fornes, A.; Espinosa Minguet, AR. (2016). Aplicando la metodología Flipped-Teaching en el Grado de Ingeniería Informática: Una experiencia práctica. Editorial Universidad de Almería. http://hdl.handle.net/10251/78306

Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks

[EN] Nowadays there is a strong integration of online social platforms and applications with our daily life. Such interactions can make risks arise and compromise the information we share, thereby leading to privacy issues. In this work, a proposal that makes use of a software agent that performs sentiment analysis and another performing stress analysis on keystroke dynamics data has been designed and implemented. The proposal consists of a set of new agents that have been integrated into a multi-agent system (MAS) for guiding users interacting in online social environments, which has agents for sentiment and stress analysis on text. We propose a combined analysis using the different agents. The MAS analyzes the states of the users when they are interacting, and warns them if the messages they write are deemed negative. In this way, we aim to prevent potential negative outcomes on social network sites (SNSs). We performed experiments in the laboratory with our private SNS Pesedia over a period of one month, so we gathered data about text messages and keystroke dynamics data, and used the datasets to train the artificial neural networks (ANNs) of the agents. A set of experiments was performed for discovering which analysis is able to detect a state of the user that propagates more in the SNS, so it may be more informative for the MAS. Our study will help develop future intelligent systems that utilize user data in online social environments for guiding or helping them in their social experience.This work was funded by the project TIN2017-89156-R of the Spanish government.Aguado-Sarrió, G.; Julian Inglada, VJ.; García-Fornes, A.; Espinosa Minguet, AR. (2020). Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks. Applied Sciences. 10(11):1-20. https://doi.org/10.3390/app10113754S1201011O’Keeffe, G. S., & Clarke-Pearson, K. (2011). The Impact of Social Media on Children, Adolescents, and Families. PEDIATRICS, 127(4), 800-804. doi:10.1542/peds.2011-0054George, J. M., & Dane, E. (2016). Affect, emotion, and decision making. Organizational Behavior and Human Decision Processes, 136, 47-55. doi:10.1016/j.obhdp.2016.06.004Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management, 53(1), 106-121. doi:10.1016/j.ipm.2016.06.009Aguado, G., Julian, V., & Garcia-Fornes, A. (2018). Towards Aiding Decision-Making in Social Networks by Using Sentiment and Stress Combined Analysis. Information, 9(5), 107. doi:10.3390/info9050107Schouten, K., & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813-830. doi:10.1109/tkde.2015.2485209Lee, P.-M., Tsui, W.-H., & Hsiao, T.-C. (2015). The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli. PLOS ONE, 10(6), e0129056. doi:10.1371/journal.pone.0129056Vizer, L. M., Zhou, L., & Sears, A. (2009). Automated stress detection using keystroke and linguistic features: An exploratory study. International Journal of Human-Computer Studies, 67(10), 870-886. doi:10.1016/j.ijhcs.2009.07.005Huang, F., Zhang, X., Zhao, Z., Xu, J., & Li, Z. (2019). Image–text sentiment analysis via deep multimodal attentive fusion. Knowledge-Based Systems, 167, 26-37. doi:10.1016/j.knosys.2019.01.019Mehrabian, A. (1996). Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament. Current Psychology, 14(4), 261-292. doi:10.1007/bf02686918Ulinskas, M., Damaševičius, R., Maskeliūnas, R., & Woźniak, M. (2018). Recognition of human daytime fatigue using keystroke data. Procedia Computer Science, 130, 947-952. doi:10.1016/j.procs.2018.04.09

Open challenges in relationship-based privacy mechanisms for social network services

[EN] Social networking services (SNSs) such as Facebook or Twitter have experienced an explosive growth during the few past years. Millions of users have created their profiles on these services because they experience great benefits in terms of friendship. SNSs can help people to maintain their friendships, organize their social lives, start new friendships, or meet others that share their hobbies and interests. However, all these benefits can be eclipsed by the privacy hazards that affect people in SNSs. People expose intimate information of their lives on SNSs, and this information affects the way others think about them. It is crucial that users be able to control how their information is distributed through the SNSs and decide who can access it. This paper presents a list of privacy threats that can affect SNS users, and what requirements privacy mechanisms should fulfill to prevent this threats. Then, we review current approaches and analyze to what extent they cover the requirementsThis article has been developed as a result of a mobility stay funded by the Erasmus Mundus Programme of the European Comission under the Transatlantic Partnership for Excellence in Engineering-TEE Project.López Fogués, R.; Such Aparicio, JM.; Espinosa Minguet, AR.; García-Fornes, A. (2015). Open challenges in relationship-based privacy mechanisms for social network services. International Journal of Human-Computer Interaction. 31(5):350-370. doi:10.1080/10447318.2014.1001300S35037031

A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

[EN] In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.This work was funded by the project TIN2017-89156-R of the Spanish government.Aguado-Sarrió, G.; Julian Inglada, VJ.; García-Fornes, A.; Espinosa Minguet, AR. (2020). A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis. Applied Sciences. 10(19):1-29. https://doi.org/10.3390/app10196746S1291019Vanderhoven, E., Schellens, T., Vanderlinde, R., & Valcke, M. (2015). Developing educational materials about risks on social network sites: a design based research approach. Educational Technology Research and Development, 64(3), 459-480. doi:10.1007/s11423-015-9415-4Teens and ICT: Risks and Opportunities. Belgium: TIRO http://www.belspo.be/belspo/fedra/proj.asp?l=en&COD=TA/00/08Risks and Safety on the Internet: The Perspective of European Children: Full Findings and Policy Implications From the EU Kids Online Survey of 9–16 Year Olds and Their Parents in 25 Countries http://eprints.lse.ac.uk/33731/Vanderhoven, E., Schellens, T., & Valcke, M. (2014). Educating teens about the risks on social network sites. An intervention study in Secondary Education. Comunicar, 22(43), 123-132. doi:10.3916/c43-2014-12Christofides, E., Muise, A., & Desmarais, S. (2012). Risky Disclosures on Facebook. Journal of Adolescent Research, 27(6), 714-731. doi:10.1177/0743558411432635George, J. M., & Dane, E. (2016). Affect, emotion, and decision making. Organizational Behavior and Human Decision Processes, 136, 47-55. doi:10.1016/j.obhdp.2016.06.004Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management, 53(1), 106-121. doi:10.1016/j.ipm.2016.06.009Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544-2558. doi:10.1002/asi.21416Shoumy, N. J., Ang, L.-M., Seng, K. P., Rahaman, D. M. M., & Zia, T. (2020). Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals. Journal of Network and Computer Applications, 149, 102447. doi:10.1016/j.jnca.2019.102447Zhang, C., Zeng, D., Li, J., Wang, F.-Y., & Zuo, W. (2009). Sentiment analysis of Chinese documents: From sentence to document level. Journal of the American Society for Information Science and Technology, 60(12), 2474-2487. doi:10.1002/asi.21206Lu, B., Ott, M., Cardie, C., & Tsou, B. K. (2011). Multi-aspect Sentiment Analysis with Topic Models. 2011 IEEE 11th International Conference on Data Mining Workshops. doi:10.1109/icdmw.2011.125Nasukawa, T., & Yi, J. (2003). Sentiment analysis. Proceedings of the international conference on Knowledge capture - K-CAP ’03. doi:10.1145/945645.945658Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S.-F. (2013). Large-scale visual sentiment ontology and detectors using adjective noun pairs. Proceedings of the 21st ACM international conference on Multimedia - MM ’13. doi:10.1145/2502081.2502282Deb, S., & Dandapat, S. (2019). Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions. IEEE Transactions on Affective Computing, 10(3), 360-373. doi:10.1109/taffc.2017.2730187Deng, J., Zhang, Z., Marchi, E., & Schuller, B. (2013). Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition. 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. doi:10.1109/acii.2013.90Nicolaou, M. A., Gunes, H., & Pantic, M. (2011). Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space. IEEE Transactions on Affective Computing, 2(2), 92-105. doi:10.1109/t-affc.2011.9Hossain, M. S., Muhammad, G., Alhamid, M. F., Song, B., & Al-Mutib, K. (2016). Audio-Visual Emotion Recognition Using Big Data Towards 5G. Mobile Networks and Applications, 21(5), 753-763. doi:10.1007/s11036-016-0685-9Zhou, F., Jianxin Jiao, R., & Linsey, J. S. (2015). Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews. Journal of Mechanical Design, 137(7). doi:10.1115/1.4030159Ceci, F., Goncalves, A. L., & Weber, R. (2016). A model for sentiment analysis based on ontology and cases. IEEE Latin America Transactions, 14(11), 4560-4566. doi:10.1109/tla.2016.7795829Vizer, L. M., Zhou, L., & Sears, A. (2009). Automated stress detection using keystroke and linguistic features: An exploratory study. International Journal of Human-Computer Studies, 67(10), 870-886. doi:10.1016/j.ijhcs.2009.07.005Feldman, R. (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82-89. doi:10.1145/2436256.2436274Schouten, K., & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813-830. doi:10.1109/tkde.2015.2485209Ji, R., Cao, D., Zhou, Y., & Chen, F. (2016). Survey of visual sentiment prediction for social media analysis. Frontiers of Computer Science, 10(4), 602-611. doi:10.1007/s11704-016-5453-2Li, L., Cao, D., Li, S., & Ji, R. (2015). Sentiment analysis of Chinese micro-blog based on multi-modal correlation model. 2015 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip.2015.7351718Lee, P.-M., Tsui, W.-H., & Hsiao, T.-C. (2015). The Influence of Emotion on Keyboard Typing: An Experimental Study Using Auditory Stimuli. PLOS ONE, 10(6), e0129056. doi:10.1371/journal.pone.0129056Matsiola, M., Dimoulas, C., Kalliris, G., & Veglis, A. A. (2018). Augmenting User Interaction Experience Through Embedded Multimodal Media Agents in Social Networks. Information Retrieval and Management, 1972-1993. doi:10.4018/978-1-5225-5191-1.ch088Rosaci, D. (2007). CILIOS: Connectionist inductive learning and inter-ontology similarities for recommending information agents. Information Systems, 32(6), 793-825. doi:10.1016/j.is.2006.06.003Buccafurri, F., Comi, A., Lax, G., & Rosaci, D. (2016). Experimenting with Certified Reputation in a Competitive Multi-Agent Scenario. IEEE Intelligent Systems, 31(1), 48-55. doi:10.1109/mis.2015.98Rosaci, D., & Sarnè, G. M. L. (2014). Multi-agent technology and ontologies to support personalization in B2C E-Commerce. Electronic Commerce Research and Applications, 13(1), 13-23. doi:10.1016/j.elerap.2013.07.003Singh, A., & Sharma, A. (2017). MAICBR: A Multi-agent Intelligent Content-Based Recommendation System. Lecture Notes in Networks and Systems, 399-411. doi:10.1007/978-981-10-3920-1_41Villavicencio, C., Schiaffino, S., Diaz-Pace, J. A., Monteserin, A., Demazeau, Y., & Adam, C. (2016). A MAS Approach for Group Recommendation Based on Negotiation Techniques. Lecture Notes in Computer Science, 219-231. doi:10.1007/978-3-319-39324-7_19Rincon, J. A., de la Prieta, F., Zanardini, D., Julian, V., & Carrascosa, C. (2017). Influencing over people with a social emotional model. Neurocomputing, 231, 47-54. doi:10.1016/j.neucom.2016.03.107Aguado, G., Julian, V., Garcia-Fornes, A., & Espinosa, A. (2020). A Multi-Agent System for guiding users in on-line social environments. Engineering Applications of Artificial Intelligence, 94, 103740. doi:10.1016/j.engappai.2020.103740Aguado, G., Julián, V., García-Fornes, A., & Espinosa, A. (2020). Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks. Applied Sciences, 10(11), 3754. doi:10.3390/app10113754Camara, M., Bonham-Carter, O., & Jumadinova, J. (2015). A multi-agent system with reinforcement learning agents for biomedical text mining. Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics. doi:10.1145/2808719.2812596Lombardo, G., Fornacciari, P., Mordonini, M., Tomaiuolo, M., & Poggi, A. (2019). A Multi-Agent Architecture for Data Analysis. Future Internet, 11(2), 49. doi:10.3390/fi11020049Schweitzer, F., & Garcia, D. (2010). An agent-based model of collective emotions in online communities. The European Physical Journal B, 77(4), 533-545. doi:10.1140/epjb/e2010-00292-

Analyzing the effect of gain time on soft task scheduling policies in real-time systems

In hard real-time systems, gain time is defined as the difference between the Worst Case Execution Time (WCET) of a hard task and its actual processor consumption at runtime. This paper presents the results of an empirical study about how the presence of a significant amount of gain time in a hard real-time system questions the advantages of using the most representative scheduling algorithms or policies for aperiodic or soft tasks in fixed-priority preemptive systems. The work presented here refines and complements many other studies in this research area in which such policies have been introduced and compared. This work has been performed by using the authors' testing framework for soft scheduling policies, which produces actual, synthetic, randomly generated applications, executes them in an instrumented Real-Time Operating System (RTOS), and finally processes this information to obtain several statistical outcomes. The results show that, in general, the presence of a significant amount of gain time reduces the performance benefit of the scheduling policies under study when compared to serving the soft tasks in background, which is considered the theoretical worst case. In some cases, this performance benefit is so small that the use of a specific scheduling policy for soft tasks is questionable. © 2012 IEEE.This work is partially funded by research projects PROMETEO/2008/051, CSD2007-022, and TIN2008-04446.Búrdalo Rapa, LA.; Terrasa Barrena, AM.; Espinosa Minguet, AR.; García Fornes, AM. (2012). Analyzing the effect of gain time on soft task scheduling policies in real-time systems. IEEE Transactions on Software Engineering. 38(6):1305-1318. https://doi.org/10.1109/TSE.2011.95S1305131838

Tie and tag: A study of tie strength and tags for photo sharing

[EN] Tie strength and tags have been separately suggested as possible attributes for photo access controls in Social Network Services. However, an evaluation is missing about the benefits/drawbacks of adding one or both of these attributes to the ones already used in access controls for Social Network Services (groups and individuals). In this paper, we describe an experiment with 48 participants using access controls that include tie strength and tags (separately and simultaneously) together with attributes for groups and individuals. We analyze the results using several quantitative and qualitative metrics. We find that users consider these two new attributes useful in defining their sharing policies, and they prefer to employ access controls that consider tags and tie strength jointly. Specifically, users believe that tie strength improves policy understandability and that tags help them define sharing policies faster. However, we also observe that when users employ these two attributes they tend to make more mistakes in terms of the resulting sharing policy. We hypothesize that this could be caused by the lack of experience using tie strength and tags in access controls.This research was supported by the Ministerio de Economia y Competitividad (http://www.mineco.gob.es/), grant number: TIN2014-55206-R and TIN2017-89156-R to A.G.F. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.López Fogués, R.; Such Aparicio, JM.; Espinosa Minguet, AR.; García-Fornes, A. (2018). Tie and tag: A study of tie strength and tags for photo sharing. PLoS ONE. 13(8). https://doi.org/10.1371/journal.pone.0202540S13

A Scalable Multiagent Platform for Large Systems

[EN] A new generation of open and dynamic systems requires execution frameworks that are capable of being efficient and scalable when large populations of agents are launched. These frameworks must provide efficient support for systems of this kind, by means of an efficient messaging service, agent group management, security issues, etc. To cope with these requirements, in this paper, we present a novel Multiagent Platform that has been developed at the Operating System level. This feature provides high efficiency rates and scalability compared to other high-performance middleware-based Multiagent Platforms.This work has been partially supported by CONSOLIDER-INGENIO 2010 under grant CSD2007-00022, and projects TIN2011-27652-C03-01 and TIN2008-04446. Juan M. Alberola has received a grant from Ministerio de Ciencia e Innovacion de Espana (AP2007-00289).Alberola Oltra, JM.; Such Aparicio, JM.; Botti, V.; Espinosa Minguet, AR.; García-Fornes, A. (2013). A Scalable Multiagent Platform for Large Systems. Computer Science and Information Systems. 10(1):51-77. doi:10.2298/CSIS111029039AS517710

Supporting Dynamicity in Emergency Response Applications

[EN] Multiagent Systems are a promising paradigm for software development. It is feasible to model such systems with many components where each one can solve a specific problem. This division of responsibilities allows multiagent systems to work in dynamically changing environments. An example of an environment that is very changeable is related with emergencies management. Emergency management systems depend on the cooperation of all their components due to their specialization. In order to obtain this cooperation, the components need to interact with each other and adapt their interactions depending on their purpose and the system components they are interacting with. Also, new components may arrive on the scene, which must be informed about the interaction policies that original components are using. Although Multiagent Systems are suited to managing scenarios of this kind, their effectiveness depends on their capacity to dynamically modify and adapt the protocols that control the interactions among agents in the system. In this paper, an infrastructure to support dynamically changing interaction protocols is presented.This work has been partially supported by CONSOLIDER-INGENIO 2010 under grant CSD2007-00022, and project TIN2008-04446.López Fogués, R.; Such Aparicio, JM.; Alberola Oltra, JM.; Espinosa Minguet, AR.; García Fornes, AM. (2014). Supporting Dynamicity in Emergency Response Applications. Computing and Informatics. 33(6):1288-1311. http://hdl.handle.net/10251/50972S1288131133