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Alessandro Vittorio Papadopoulos

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Publications

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Books and book chapters

2019

  1. Gulisano, V., Papatriantafilou, M., & Papadopoulos, A. V. (2019). Elasticity. In S. Sakr & A. Y. Zomaya (Eds.), Encyclopedia of Big Data Technologies (pp. 1–7). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-63962-8_191-1 - -

2017

  1. Maggio, M., Abdelzaher, T., Esterle, L., Giese, H., Kephart, J. O., Mengshoel, O. J., … Wolter, K. (2017). Self-adaptation for Individual Self-aware Computing Systems. In S. Kounev, J. O. Kephart, A. Milenkoski, & X. Zhu (Eds.), Self-Aware Computing Systems (pp. 375–399). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-47474-8_12 - -

2016

  1. Papadopoulos, A. V., & Prandini, M. (2016). Fondamenti di Automatica: Esercizi. Pearson Italia. - -

2013

  1. Leva, A., Maggio, M., Papadopoulos, A. V., & Terraneo, F. (2013). Control-based operating system design. IET. https://doi.org/10.1049/PBCE089E - -

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Journal Publications

2019

  1. Ioli, D., Falsone, A., Papadopoulos, A. V., & Prandini, M. (2019). A compositional modeling framework for the optimal energy management of a district network. Journal of Process Control, 74, 160–176. https://doi.org/10.1016/j.jprocont.2017.10.005 - - -

2018

  1. Mubeen, S., Abbaspour Asadollah, S., Papadopoulos, A. V., Ashjaei, M., Pei-Breivold, H., & Behnam, M. (2018). Management of Service Level Agreements for Cloud Services in IoT: A Systematic Mapping Study. IEEE Access, 6(1), 30184–30207. https://doi.org/10.1109/ACCESS.2017.2744677 - - -
  2. Angelopoulos, K., Papadopoulos, A. V., Souza Vı́tor Estêvão Silva, & Mylopoulos, J. (2018). Engineering Self-Adaptive Software Systems: From Requirements to Model Predictive Control. ACM Transactions on Autonomous and Adaptive Systems, 13(1), 1:1–1:27. https://doi.org/10.1145/3105748 - - -
  3. Ilyushkin, A., Ali-Eldin, A., Herbst, N., Bauer, A., Papadopoulos, A. V., Epema, D., & Iosup, A. (2018). An Experimental Performance Evaluation of Autoscalers for Complex Workflows. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 3(2), 8:1–8:32. https://doi.org/10.1145/3164537 - - -
  4. Papadopoulos, A. V., Terraneo, F., Leva, A., & Prandini, M. (2018). Switched control for quantized feedback systems: invariance and limit cycles analysis. IEEE Transactions on Automatic Control, 63(11), 3775–3786. https://doi.org/10.1109/TAC.2018.2797246 - - -
  5. Terraneo, F., Papadopoulos, A. V., Leva, A., & Prandini, M. (2018). FLOPSYNC-QACS: Quantization-aware Clock Synchronization for Wireless Sensor Networks. SIGBED Rev., 14(4), 33–38. https://doi.org/10.1145/3177803.3177809 - -

2017

  1. Terraneo, F., Papadopoulos, A. V., Leva, A., & Prandini, M. (2017). FLOPSYNC-QACS: Quantization-Aware Clock Synchronization for Wireless Sensor Networks. Journal of Systems Architecture, 80, 77–84. https://doi.org/10.1016/j.sysarc.2017.09.006 - - -
  2. Filieri, A., Maggio, M., Angelopoulos, K., D’Ippolito, N., Gerostathopoulos, I., Hempel, A. B., … Vogel, T. (2017). Control Strategies for Self-Adaptive Software Systems. ACM Transactions on Autonomous and Adaptive Systems, 11(4), 24:1–24:31. https://doi.org/10.1145/3024188 - - -

2016

  1. Papadopoulos, A. V., Ali-Eldin, A., Årzén, K.-E., Tordsson, J., & Elmroth, E. (2016). PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 1(4), 15:1–15:31. https://doi.org/10.1145/2930659 - - -
  2. Papadopoulos, A. V., Klein, C., Maggio, M., Dürango, J., Dellkrantz, M., Hernández-Rodriguez, F., … Årzén, K.-E. (2016). Control-Based Load-Balancing Techniques: Analysis and Performance Evaluation via a Randomized Optimization Approach. Control Engineering Practice, 52, 24–34. https://doi.org/10.1016/j.conengprac.2016.03.020 - - -
  3. Papadopoulos, A. V., & Prandini, M. (2016). Model reduction of switched affine systems. Automatica, 70, 57–65. https://doi.org/10.1016/j.automatica.2016.03.019 - - -
  4. Leva, A., Terraneo, F., Rinaldi, L., Papadopoulos, A. V., & Maggio, M. (2016). High-Precision Low-Power Wireless Nodes’ Synchronization via Decentralized Control. IEEE Transactions on Control Systems Technology, 24(4), 1279–1293. https://doi.org/10.1109/TCST.2015.2483559 - - -
  5. Papadopoulos, A. V., Bascetta, L., & Ferretti, G. (2016). Generation of Human Walking Paths. Autonomous Robots, 40(1), 59–75. https://doi.org/10.1007/s10514-015-9443-2 - - -

2015

  1. Papadopoulos, A. V., Maggio, M., Leva, A., & Bini, E. (2015). Hard Real-Time Guarantees in Feedback-based Resource Reservations. Real-Time Systems, 51(3), 221–246. https://doi.org/10.1007/s11241-015-9224-1 - - -
  2. Papadopoulos, A. V., Maggio, M., Terraneo, F., & Leva, A. (2015). A Dynamic Modelling Framework for Control-based Computing System Design. Mathematical and Computer Modelling of Dynamical Systems, 21(3), 251–271. https://doi.org/10.1080/13873954.2014.942785 - - -
  3. Papadopoulos, A. V., & Leva, A. (2015). A model partitioning method based on dynamic decoupling for the efficient simulation of multibody systems. Multibody System Dynamics, 34(2), 163–190. https://doi.org/10.1007/s11044-014-9415-x - -

2014

  1. Papadopoulos, A. V., & Leva, A. (2014). Automating efficiency-targeted approximations in modelling and simulation tools: dynamic decoupling and mixed-mode integration. SIMULATION: Transactions of The Society for Modeling and Simulation International, 90(10), 1158–1176. https://doi.org/10.1177/0037549714547296 - -

2013

  1. Leva, A., & Papadopoulos, A. V. (2013). Tuning of event-based industrial controllers with simple stability guarantees. Journal of Process Control, 23(9), 1251–1260. https://doi.org/10.1016/j.jprocont.2013.07.010 - -
  2. Dercole, F., De Carli, M., Della Rossa, F., & Papadopoulos, A. V. (2013). Overpunishing is not necessary to fix cooperation in voluntary public goods games. Journal of Theoretical Biology, 326(0), 70–81. https://doi.org/10.1016/j.jtbi.2012.11.034 - -
  3. Maggio, M., Papadopoulos, A. V., & Leva, A. (2013). On the Use of Feedback Control in the Design of Computing System Components. Asian Journal of Control, 15(1), 31–40. https://doi.org/10.1002/asjc.509 - -

2012

  1. Papadopoulos, A. V., Maggio, M., Negro, S., & Leva, A. (2012). General control-theoretical framework for online resource allocation in computing systems. IET Control Theory & Applications, 6(11), 1594–1602. https://doi.org/10.1049/iet-cta.2011.0632 - -
  2. Maggio, M., Hoffmann, H., Papadopoulos, A. V., Panerati, J., Santambrogio, M. D., Agarwal, A., & Leva, A. (2012). Comparison of Decision Making Strategies for Self-Optimization in Autonomic Computing Systems. ACM Transactions on Autonomous and Adaptive Systems, 7(4), 36:1–36:32. https://doi.org/10.1145/2382570.2382572 - -

2010

  1. Leva, A., Negro, S., & Papadopoulos, A. V. (2010). PI/PID autotuning with contextual model parametrisation. Journal of Process Control, 20(4), 452–463. https://doi.org/10.1016/j.jprocont.2010.01.005 - -

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Conference Publications

2019

  1. Wang, W., Mosse, D., & Papadopoulos, A. V. (2019). Packet Priority Assignment for Wireless Control Systems of Multiple Physical Systems. In 22nd IEEE International Symposium on Real-Time Distributed Computing (pp. 143–150). https://doi.org/10.1109/ISORC.2019.00036 - -
  2. Miloradović, B., Cürüklü, B., Ekström, M., & Papadopoulos, A. V. (2019). Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems. In International Conference on Operations Research and Enterprise Systems (pp. 237–244). INSTICC. https://doi.org/10.5220/0007309002370244 - - -
  3. Čaušević, A., Papadopoulos, A. V., & Sirjani, M. (2019). Towards a Framework for Safe and Secure AdaptiveCollaborative Systems. In 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design. -
  4. Salman, S. M., Struhár, V., Papadopoulos, A. V., Behnam, M., & Nolte, T. (2019). Fogification of Industrial Robotic Systems: Research Challenges. In Proceedings of the Workshop on Fog Computing and the IoT (pp. 41–45). New York, NY, USA: ACM. https://doi.org/10.1145/3313150.3313225 - -

2018

  1. Struhár, V., Papadopoulos, A. V., & Behnam, M. (2018). Fog Computing for Adaptive Human-robot Collaboration: Work-in-progress. In Proceedings of the International Conference on Embedded Software (EMSOFT) (pp. 14:1–14:2). Piscataway, NJ, USA: IEEE Press. Retrieved from http://dl.acm.org/citation.cfm?id=3283535.3283549 - -
  2. Frasheri, M., Cürüklü, B., Ekström, M., & Papadopoulos, A. V. (2018). Adaptive Autonomy in a Search and Rescue Scenario. In Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (pp. 150–155). https://doi.org/10.1109/SASO.2018.00026 - - -
  3. Papadopoulos, A. V., & Maggio, M. (2018). Challenges in High Performance Big Data Frameworks. In 2018 International Conference on High Performance Computing Simulation (HPCS) (pp. 153–156). https://doi.org/10.1109/HPCS.2018.00039 - - -
  4. Papadopoulos, A. V., Bini, E., Baruah, S., & Burns, A. (2018). AdaptMC: A Control-Theoretic Approach for Achieving Resilience in Mixed-Criticality Systems. In S. Altmeyer (Ed.), 30th Euromicro Conference on Real-Time Systems (ECRTS 2018) (Vol. 106, pp. 14:1–14:22). Dagstuhl, Germany: Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ECRTS.2018.14 - - - -
  5. Leva, A., Seva, S., & Papadopoulos, A. V. (2018). Progress Rate Control for Computer Applications. In European Control Conference (pp. 3173–3178). https://doi.org/10.23919/ECC.2018.8550414 - - -
  6. Faragardi, H. R., Dehnavi, S., Kargahi, M., Papadopoulos, A. V., & Nolte, T. (2018). A Time-Predictable Fog-Integrated Cloud Framework: One Step Forward in the Deployment of a Smart Factory. In The CSI International Symposium on Real-Time and Embedded Systems and Technologies (pp. 54–62). https://doi.org/10.1109/RTEST.2018.8397079 - - -
  7. Souza, A., Papadopoulos, A. V., Tomás Bolivar, L., Gilbert, D., & Tordsson, J. (2018). Hybrid Adaptive Checkpointing for Virtual Machine Fault Tolerance. In IEEE International Conference on Cloud Engineering (pp. 12–22). https://doi.org/10.1109/IC2E.2018.00023 - - - Acceptance rate: 19%. (Best paper award candidate) -

2017

  1. Papadopoulos, A. V., Maggio, M., Leva, A., & Bini, E. (2017). Hard Real-Time Guarantees in Feedback-based Resource Reservations. In 38th IEEE Real-Time Systems Symposium (journal never presented on conference). - -
  2. Papadopoulos, A. V., Krzywda, J., Elmroth, E., & Maggio, M. (2017). Power-aware cloud brownout: Response time and power consumption control. In Decision and Control (CDC), 2017 IEEE 56th Annual Conference on (pp. 2686–2691). https://doi.org/10.1109/CDC.2017.8264049 - - -
  3. Maggio, M., Papadopoulos, A. V., Filieri, A., & Hoffmann, H. (2017). Automated Control of Multiple Software Goals using Multiple Actuators. In 11th Joint Meeting of the european Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) (pp. 373–384). https://doi.org/10.1145/3106237.3106247 - - -
  4. Papadopoulos, A. V., Abbaspour Asadollah, S., Ashjaei, M., Mubeen, S., Pei-Breivold, H., & Behnam, M. (2017). SLAs for Industrial IoT: Mind the Gap. In 4th International Symposium on Intercloud and IoT (ICI) (pp. 75–78). https://doi.org/10.1109/W-FiCloud.2017.9 - - -
  5. Gulisano, V., Papadopoulos, A. V., Nikolakopoulos, Y., Papatriantafilou, M., & Tsigas, P. (2017). Performance modeling of stream joins. In Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems (pp. 191–202). New York, NY, USA: ACM. https://doi.org/10.1145/3093742.3093923 - - - - Acceptance rate: 24% -
  6. Leva, A., & Papadopoulos, A. V. (2017). Modelling and Control of Big Data Frameworks. In Proceedings of the 20th IFAC World Congress (Vol. 20, pp. 6110–6115). IFAC. https://doi.org/10.1016/j.ifacol.2017.08.2017 - - -
  7. Moreno, G. A., Papadopoulos, A. V., Angelopoulos, K., Cámara, J., & Schmerl, B. (2017). Comparing Model-Based Predictive Approaches to Self-Adaptation: CobRA and PLA. In 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (pp. 42–53). https://doi.org/10.1109/SEAMS.2017.2 - - - Acceptance rate: 23% (Best paper award candidate) -
  8. Maggio, M., Papadopoulos, A. V., Filieri, A., & Hoffmann, H. (2017). Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple. In 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (pp. 123–128). https://doi.org/10.1109/SEAMS.2017.16 - - - Best artefact award - -
  9. Tärneberg, W., Papadopoulos, A. V., Mehta, A., Tordsson, J., & Kihl, M. (2017). Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network. In 1st International Conference on Fog and Edge Computing (ICFEC) (pp. 51–60). https://doi.org/10.1109/ICFEC.2017.10 - - - Acceptance rate: 24% -
  10. Lakew, E. B., Papadopoulos, A. V., Maggio, M., Klein, C., & Elmroth, E. (2017). KPI-agnostic Control for Fine-Grained Vertical Elasticity. In 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (pp. 589–598). https://doi.org/10.1109/CCGRID.2017.71 - - - Acceptance rate: 24% -
  11. Ilyushkin, A., Ali-Eldin, A., Herbst, N., Papadopoulos, A. V., Ghit, B., Epema, D., & Iosup, A. (2017). An Experimental Performance Evaluation of Autoscaling Algorithms for Complex Workflows. In Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering (ICPE) (pp. 75–86). New York, NY, USA: ACM. https://doi.org/10.1145/3030207.3030214 - - - Best paper award candidate -

2016

  1. Ilyushkin, A., Ali-Eldin, A., Herbst, N., Papadopoulos, A. V., Bogdan, G., Epema, D., & Iosup, A. (2016). An Experimental Performance Evaluation of Autoscaling Algorithms for Complex Workflows. In ACM Symposium on Cloud Computing 2016 (SOCC 2016). -
  2. Angelopoulos, K., Papadopoulos, A. V., Souza Vı́tor Estêvão Silva, & Mylopoulos, J. (2016). Model Predictive Control for Software Systems with CobRA. In 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). https://doi.org/10.1145/2897053.2897054 - - - Best paper award candidate -
  3. Ali-Eldin, A., Ilyushkin, A., Ghit, B., Herbst, N., Papadopoulos, A. V., & Iosup, A. (2016). Which Cloud Auto-Scaler Should I Use for My Application?: Benchmarking Auto-Scaling Algorithms. In Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering (ICPE) (pp. 131–132). New York, NY, USA: ACM. https://doi.org/10.1145/2851553.2858677 - - -
  4. Terraneo, F., Papadopoulos, A. V., Leva, A., & Prandini, M. (2016). FLOPSYNC-QACS: Quantization-Aware Clock Synchronization for Wireless Sensor Networks. In 4th International Workshop on Real Time Computing and Distributed Systems in Emergent Applications (REACTION). -

2015

  1. Papadopoulos, A. V., & Maggio, M. (2015). Virtual Machine Migration in Cloud Infrastructures: Problem Formalization and Policies Proposal. In Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (pp. 6698–6705). New York, NY, USA: IEEE. https://doi.org/10.1109/CDC.2015.7403274 - -
  2. Terraneo, F., Leva, A., Seva, S., Maggio, M., & Papadopoulos, A. V. (2015). Reverse Flooding: exploiting radio interference for efficient propagation delay compensation in WSN clock synchronization. In Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS) (pp. 175–184). https://doi.org/10.1109/RTSS.2015.24 - - Best paper award candidate -
  3. Papadopoulos, A. V., Carone, R., Maggio, M., & Leva, A. (2015). A control-theoretical approach to thread scheduling for multicore processors. In Control Applications (CCA), 2015 IEEE Conference on (pp. 1103–1110). New York, NY, USA: IEEE. https://doi.org/10.1109/CCA.2015.7320760 - -
  4. Desmeurs, D., Klein, C., Papadopoulos, A. V., & Tordsson, J. (2015). Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times. In 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC) (pp. 1–12). https://doi.org/10.1109/ICCAC.2015.25 - -
  5. Filieri, A., Maggio, M., Angelopoulos, K., D’Ippolito, N., Gerostathopoulos, I., Hempel, A. B., … Vogel, T. (2015). Software Engineering Meets Control Theory. In 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (pp. 71–82). https://doi.org/10.1109/SEAMS.2015.12 - - -
  6. Leva, A., & Papadopoulos, A. V. (2015). Disturbance rejection in autotuners: an assessment method and a rule proposal. In American Control Conference (ACC) (pp. 2876–2881). https://doi.org/10.1109/ACC.2015.7171171 - -
  7. Angelopoulos, K., Papadopoulos, A. V., & Mylopoulos, J. (2015). Adaptive Predictive Control for Self-Adaptive Software Systems. In Proceedings of the 1st International Workshop on Control Theory for Software Engineering (co-located with ESEC/FSE) (CTSE) (pp. 17–21). New York, NY, USA: ACM. https://doi.org/10.1145/2804337.2804340 - -
  8. Papadopoulos, A. V. (2015). Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities. In 10th International Workshop on Feedback Computing. -

2014

  1. Leva, A., Mastrandrea, D., Bonvini, M., & Papadopoulos, A. V. (2014). Object-Oriented Modelling and Simulation of Air Flow in Data Centres Based on a Quasi-3D Approach for Energy Optimisation. In Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on (pp. 554–559). New York, NY, USA: IEEE. https://doi.org/10.1109/UCC.2014.85 - -
  2. Terraneo, F., Rinaldi, L., Maggio, M., Papadopoulos, A. V., & Leva, A. (2014). FLOPSYNC-2: efficient monotonic clock synchronisation. In Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS) (pp. 11–20). New York, NY, USA: IEEE. https://doi.org/10.1109/RTSS.2014.14 - - Best paper award candidate -
  3. Dürango, J., Dellkrantz, M., Maggio, M., Klein, C., Papadopoulos, A. V., Hernández-Rodriguez, F., … Årzén, K.-E. (2014). Control-theoretical load-balancing for cloud applications with brownout. In Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on (pp. 5320–5327). New York, NY, USA: IEEE. https://doi.org/10.1109/CDC.2014.7040221 - -
  4. Klein, C., Papadopoulos, A. V., Dellkrantz, M., Dürango, J., Maggio, M., Årzén, K.-E., … Elmroth, E. (2014). Improving Cloud Service Resilience using Brownout-Aware Load-Balancing. In Reliable Distributed Systems (SRDS), 2014 IEEE 33rd International Symposium on (pp. 31–40). New York, NY, USA: IEEE. https://doi.org/10.1109/SRDS.2014.14 - -
  5. Papadopoulos, A. V., Bascetta, L., & Ferretti, G. (2014). A Comparative Evaluation of Human Motion Planning Policies. In Proceedings of the 19th IFAC World Congress (Vol. 19, pp. 12299–12304). IFAC. https://doi.org/10.3182/20140824-6-ZA-1003.01898 - -
  6. Papadopoulos, A. V., Casella, F., & Leva, A. (2014). Model separability indices for efficient dynamic simulation. In Proceedings of the 19th IFAC World Congress (Vol. 19, pp. 10796–10801). IFAC. https://doi.org/10.3182/20140824-6-ZA-1003.01940 - -
  7. Papadopoulos, A. V., & Prandini, M. (2014). Model reduction of switched affine systems: a method based on balanced truncation and randomized optimization. In Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control (HSCC) (pp. 113–122). New York, NY, USA: ACM. https://doi.org/10.1145/2562059.2562131 - -

2013

  1. Papadopoulos, A. V., Åkesson, J., Casella, F., & Leva, A. (2013). Automatic Partitioning and Simulation of Weakly Coupled Systems. In Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on (pp. 3172–3177). New York, NY, USA: IEEE. https://doi.org/10.1109/CDC.2013.6760367 - -
  2. Leva, A., Papadopoulos, A. V., & Maggio, M. (2013). A general control-theoretical methodology for runtime resource allocation in computing systems. In Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on (pp. 3487–3492). New York, NY, USA: IEEE. https://doi.org/10.1109/CDC.2013.6760418 - -
  3. Papadopoulos, A. V., Bascetta, L., & Ferretti, G. (2013). Generation of Human Walking Paths. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on (pp. 1676–1681). New York, NY, USA: IEEE. https://doi.org/10.1109/IROS.2013.6696574 - -
  4. Leva, A., & Papadopoulos, A. V. (2013). Teaching a conscious use of PI/PID tuning rules. In 10th IFAC Symposium on Advances in Control Education (ACE) (Vol. 10, pp. 25–30). IFAC. https://doi.org/10.3182/20130828-3-UK-2039.00007 - -
  5. Papadopoulos, A. V., & Leva, A. (2013). Laboratories over the network: from remote to mobile. In 10th IFAC Symposium on Advances in Control Education (ACE) (Vol. 10, pp. 84–89). IFAC. https://doi.org/10.3182/20130828-3-UK-2039.00025 - -
  6. Papadopoulos, A. V., & Leva, A. (2013). Automating Dynamic Decoupling in Object-Oriented Modelling and Simulation Tools. In 5th International workshop on Equation-Based Object-Oriented Modeling Languages and Tools (EOOLT) (pp. 37–44). - -

2012

  1. Papadopoulos, A. V., & Leva, A. (2012). Antiwindup-aware PI autotuning. In Proceedings IFAC Conference on Advances in PID Control (Vol. 2, pp. 554–559). IFAC. https://doi.org/10.3182/20120328-3-IT-3014.00094 - -
  2. Maggio, M., Terraneo, F., Papadopoulos, A. V., & Leva, A. (2012). A PI-based control structure as an operating system scheduler. In Proceedings IFAC Conference on Advances in PID Control (Vol. 2, pp. 329–334). IFAC. https://doi.org/10.3182/20120328-3-IT-3014.00056 - -
  3. Papadopoulos, A. V., Maggio, M., & Leva, A. (2012). Control and design of computing systems: what to model and how. In Proceedings of the 7th International Conference of Mathematical Modelling, MATHMOD’12 (Vol. 7, pp. 102–107). IFAC. https://doi.org/10.3182/20120215-3-AT-3016.00018 - -
  4. Papadopoulos, A. V., Maggio, M., Casella, F., & Åkesson, J. (2012). Function inlining in Modelica models. In Proceedings of the 7th International Conference of Mathematical Modelling, MATHMOD’12 (Vol. 7, pp. 1091–1094). IFAC. https://doi.org/10.3182/20120215-3-AT-3016.00193 - -
  5. Maggio, M., Papadopoulos, A. V., & Leva, A. (2012). SMART Computing Systems: Sensing, Modelling, Actuating, Regulating, and Tuning. In Proceedings of the 7th International Workshop on Feedback Computing. -

2011

  1. Cremonesi, P., Garzotto, F., Negro, S., Papadopoulos, A. V., & Turrin, R. (2011). Looking for “Good” Recommendations: A Comparative Evaluation of Recommender Systems. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), INTERACT’11: Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction (Vol. 6948, pp. 152–168). Heidelberg, Germany: Springer-Verlag. https://doi.org/10.1007/978-3-642-23765-2_11 - -
  2. Papadopoulos, A. V., Maggio, M., Negro, S., & Leva, A. (2011). Enhancing feedback process scheduling via a predictive control approach. In Proceedings of the 18th IFAC World Congress (Vol. 18, pp. 13522–13527). IFAC. https://doi.org/10.3182/20110828-6-IT-1002.01156 - -
  3. Cremonesi, P., Garzotto, F., Negro, S., Papadopoulos, A. V., & Turrin, R. (2011). Comparative evaluation of recommender system quality. In CHI EA ’11: Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems (pp. 1927–1932). New York, NY, USA: ACM. https://doi.org/10.1145/1979742.1979896 - -

2009

  1. Leva, A., Negro, S., & Papadopoulos, A. V. (2009). PI(D) Tuning with Contextual Model Identification. In Proceedings of the European Control Conference (ECC ’09) (pp. 4013–4018). -

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Technical reports

2019

  1. Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., … Iosup, A. (2019). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing (No. SPEC-RG-2019-03). SPEC. Retrieved from https://research.spec.org/news/single-view/article/technical-report-on-reproducible-performance-evaluation-in-cloud-computing-published.html - - -

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Software Artifact

2018

  1. Papadopoulos, A. V., Bini, E., Baruah, S., & Burns, A. (2018). AdaptMC: A Control-Theoretic Approach for Achieving Resilience in Mixed-Criticality Systems (Artifact). Dagstuhl Artifacts Series, 4(2), 1:1–1:3. https://doi.org/10.4230/DARTS.4.2.1 - -

2017

  1. Maggio, M., Papadopoulos, A. V., Filieri, A., & Hoffmann, H. (2017). Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple (Artifact). Dagstuhl Artifacts Series, 3(1), 2:1–2:3. https://doi.org/10.4230/DARTS.3.1.2 - - Best artefact award -

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Other Publications

2019

  1. Papadopoulos, A. V., & Maggio, M. (2019). Autonomous Computing Systems: The Convergence of Control Theory and Computing Systems. IEEE Software Blog. Retrieved from http://blog.ieeesoftware.org/ -

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Submitted papers

2019

  1. Lager, A., Spampinato, G., Papadopoulos, A. V., & Nolte, T. (2019). Towards Reactive Robot Applications in Dynamic Environments. In 24th IEEE Conference on Emerging Technologies and Factory Automation. -
  2. Johansson, B., Leander, B., Čaušević, A., Papadopoulos, A. V., & Nolte, T. (2019). Classification of PROFINET I/O Configurations utilizing Neural Networks. In 24th IEEE Conference on Emerging Technologies and Factory Automation. -
  3. Momeni, M., Relefors, J., Petterson, L., Hellström, E., Thunell, A., Papadopoulos, A. V., & Nolte, T. (2019). Towards Automated Installation of Reinforcement Using Industrial Robots. In 24th IEEE Conference on Emerging Technologies and Factory Automation. -
  4. Thörn, J., Vidimlic, N., Friebe, A., Papadopoulos, A. V., & Nolte, T. (2019). Timing analysis of a periodic task on a microcontroller. In 24th IEEE Conference on Emerging Technologies and Factory Automation. -
  5. Salman, S. M., Papadopoulos, A. V., & Nolte, T. (2019). On Migration of Single-core Legacy Software Systems to Multi-core Platforms. In 24th IEEE Conference on Emerging Technologies and Factory Automation. -
  6. Struhár, V., Ashjaei, M., Behnam, M., Craciunas, S. S., & Papadopoulos, A. V. (2019). DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks. In 45th Annual Conference of the IEEE Industrial Electronics Society. -

2018

  1. Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., … Iosup, A. (2018). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Transactions on Software Engineering. review. -

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Last modified: 2019-06-11 12:11:59 +0200