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Alessandro Vittorio Papadopoulos

IEEE Senior member
ACM Member
MDU, Västerås, SE Email ORCID Google Scholar Scopus DBLP ResearchGate Github Twitter Facebook LinkedIn Instagram Flickr

Publications

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2022

  1. Gulisano, V., Najdataei, H., Nikolakopoulos, Y., Papadopoulos, A. V., Papatriantafilou, M., & Tsigas, P. (2022). STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. IEEE Transactions on Parallel and Distributed Systems, 33(12), 4221–4238. https://doi.org/10.1109/TPDS.2022.3181979 - - - -
  2. Papadopoulos, A. V., Agrawal, K., Bini, E., & Baruah, S. (2022). Feedback-Based Resource Management for Multi-Threaded Applications. Real-Time Systems. https://doi.org/10.1007/s11241-022-09386-7 - - -
  3. Lager, A., Spampinato, G., Papadopoulos, A. V., & Nolte, T. (2022). Task Roadmaps: Speeding up Task Replanning. Frontiers in Robotics and AI, 9. https://doi.org/10.3389/frobt.2022.816355 - - -
  4. Salman, S. M., Papadopoulos, A. V., Mubeen, S., & Nolte, T. (2022). Multi-processor scheduling of elastic applications in compositional real-time systems. Journal of Systems Architecture, 102358. https://doi.org/10.1016/j.sysarc.2021.102358 - - -
  5. Momeni, M., Relefors, J., Khatry, A., Pettersson, L., Papadopoulos, A. V., & Nolte, T. (2022). Automated fabrication of reinforcement cages using a robotized production cell. Automation in Construction, 133, 103990. https://doi.org/10.1016/j.autcon.2021.103990 - - -
  6. Marković, F., Nolte, T., & Papadopoulos, A. V. (2022, December). Analytical approximations in probabilistic analysis of real-time systems. Proceedings of the 43rd IEEE Real-Time Systems Symposium (RTSS). - -
  7. Bini, E., Papadopoulos, A. V., Higgins, J., & Bezzo, N. (2022, December). Optimal Reference Tracking for Sampled-Data Control Systems. IEEE 61st Annual Conference on Decision and Control (CDC). - - - -
  8. Johansson, B., Rågberger, M., Nolte, T., & Papadopoulos, A. V. (2022, October). Priority Based Ethernet Handling in Real-Time End System with Ethernet Controller Filtering. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON). - -
  9. Bujosa Mateu, D., Johanson, A., Ashjaei, M., Papadopoulos, A. V., Proenza, J., & Nolte, T. (2022, September). The Effects of Clock Synchronization in TSN Networks with Legacy End-stations. 27th International Conference on Factory Automation (ETFA). - -
  10. Hariharan, S., Papadopoulos, A. V., & Nolte, T. (2022, September). On in-vehicle network security testing methodologies in construction machinery. 27th International Conference on Factory Automation (ETFA). - -
  11. Momeni, M., Relefors, J., Pettersson, L., Papadopoulos, A. V., & Nolte, T. (2022, July). On the Bar Installation Order for the Automated Fabrication of Rebar Cages. 39th International Symposium on Automation and Robotics in Construction (ISARC 2022). -
  12. Bujosa Mateu, D., Ashjaei, M., Papadopoulos, A. V., Proenza, J., & Nolte, T. (2022). HERMES: Heuristic Multi-queue Scheduler for TSN Time-Triggered Traffic with Zero Reception Jitter Capabilities. 30th International Conference on Real-Time Networks and Systems (RTNS), 70–80. https://doi.org/10.1145/3534879.3534906 - - -
  13. Gualandi, G., Maggio, M., & Papadopoulos, A. V. (2022). Optimization-based attack against control systems with CUSUM-based anomaly detection. 30th Mediterranean Conferenece on Control and Automation (MED), 896–901. https://doi.org/10.1109/MED54222.2022.9837192 - - -
  14. Johansson, B., Rågberger, M., Papadopoulos, A. V., & Nolte, T. (2022, August). Kubernetes Orchestration of High Availability Distributed Control Systems. 23rd IEEE International Conference on Industrial Technology (ICIT). - -
  15. Al-Dulaimy, A., Sicari, C., Papadopoulos, A. V., Galletta, A., Villari, M., & Ashjaei, M. (2022, September). TOLERANCER: A Fault Tolerance Approach for Cloud Manufacturing Environments. Cloud Native Real Time Systems Workshop (CLONAR). - -
  16. Struhár, V., Ashjaei, M., Behnam, M., Craciunas, S. S., & Papadopoulos, A. V. (2022, September). RT-SCALER: Adaptive Resource Allocation Framework for Real-Time Containers. 1st International Workshop on Real-Time And IntelliGent Edge Computing (RAGE). -
  17. Shamseddine, M., Al-Dulaimy, A., Itani, W., Nolte, T., & Papadopoulos, A. V. (2022). NodeGuard: A Virtualized Introspection Security Approach for the Modern Cloud Data Center. 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 790–797. https://doi.org/10.1109/CCGrid54584.2022.00093 - - -
  18. Jansen, M., Al-Dulaimy, A., Papadopoulos, A. V., Trivedi, A., & Iosup, A. (2022). The SPEC-RG Reference Architecture for the Edge Continuum: Vol. abs/2207.04159. arXiv. https://doi.org/10.48550/ARXIV.2207.04159 - -

2021

  1. Kounev, S., Abad, C., Foster, I. T., Herbst, N., Iosup, A., Al-Kiswany, S., Ali-Eldin Hassan, A., Balis, B., Bauer, A., Bondi, A. B., Chard, K., Chard, R. L., Chatley, R., Chien, A. A., Davis, A. J. J., Donkervliet, J., Eismann, S., Elmroth, E., Ferrier, N., … Yussupov, V. (2021). Toward a Definition for Serverless Computing. In C. Abad, I. T. Foster, N. Herbst, & A. Iosup (Eds.), Serverless Computing (Dagstuhl Seminar 21201) (Vol. 11, Number 4, pp. 34–93). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/DagRep.11.4.34 - - -
  2. Patros, P., Spillner, J., Papadopoulos, A. V., Varghese, B., Rana, O., & Dustdar, S. (2021). Towards Sustainable Serverless Computing. IEEE Internet Computing, 25(6), 42–50. https://doi.org/10.1109/MIC.2021.3093105 - -
  3. Miloradović, B., Çürüklü, B., Ekström, M., & Papadopoulos, A. V. (2021). GMP: A Genetic Mission Planner for Heterogeneous Multi-Robot System Applications. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2021.3070913 - - -
  4. Salman, S. M., Papadopoulos, A. V., Mubeen, S., & Nolte, T. (2021). A Systematic Methodology to Migrate Complex Real-Time Software Systems to Multi-Core Platforms. Journal of Systems Architecture, 117(102087). https://doi.org/10.1016/j.sysarc.2021.102087 - - -
  5. Ayala, I., Papadopoulos, A. V., Amor, M., & Fuentes, L. (2021). ProDSPL: Proactive Self-Adaptation based on Dynamic Software ProductLines. Journal of Systems and Software, 175(110909). https://doi.org/10.1016/j.jss.2021.110909 - - -
  6. Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tůma, P., & Iosup, A. (2021). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Transactions on Software Engineering, 47(8), 1528–1543. https://doi.org/10.1109/TSE.2019.2927908 - - -
  7. Salman, S. M., Papadopoulos, A. V., Mubeen, S., & Nolte, T. (2021, December). Multi-Processor Scheduling of Elastic Applications inCompositional Real-Time Systems. 17th International Conference on Embedded Software and Systems (ICESS). https://doi.org/10.1016/j.sysarc.2021.102358 - - -
  8. Lager, A., Papadopoulos, A. V., Spampinato, G., & Nolte, T. (2021). A Task Modelling Formalism for Industrial Mobile Robot Applications. 20th International Conference on Advanced Robotics (ICAR), 296–303. https://doi.org/10.1109/ICAR53236.2021.9659481 - - -
  9. Relefors, J., Momeni, M., Petterson, L., Papadopoulos, A. V., & Nolte, T. (2021). Installation Order in Automatic Fabrication of Reinforcement Rebar Cages. 26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1–4. https://doi.org/10.1109/ETFA45728.2021.9613321 - - -
  10. Caldas, R., Ghzouli, R., Papadopoulos, A. V., Pelliccione, P., Weyns, D., & Berger, T. (2021). Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 281–286. https://doi.org/10.1109/ACSOS-C52956.2021.00067 - - -
  11. Ayala, I., Papadopoulos, A. V., Amor, M., & Fuentes, L. (2021). ProDSPL: Proactive Self-Adaptation Based on Dynamic Software Product Lines. Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume A, 81. https://doi.org/10.1145/3461001.3473064 - - -
  12. Persson, N., Ekström, M. C., Ekström, M., & Papadopoulos, A. V. (2021). Trajectory tracking and stabilisation of a riderless bicycle. 24th IEEE International Conference on Intelligent Transportation (ITSC), 1859–1866. https://doi.org/10.1109/ITSC48978.2021.9564958 - - -
  13. Friebe, A., Marković, F., Papadopoulos, A. V., & Nolte, T. (2021). Adaptive Runtime Estimate of Task Execution Times using Bayesian Modeling. 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 1–10. https://doi.org/10.1109/RTCSA52859.2021.00008 - - -
  14. Struhár, V., Craciunas, S. S., Ashjaei, M., Behnam, M., & Papadopoulos, A. V. (2021). REACT: Enabling Real-Time Container Orchestration. 26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA45728.2021.9613685 - - -
  15. Ayala, I., Amor, M., Fuentes, L., & Papadopoulos, A. V. (2021). Self-adapting Industrial Augmented Reality applications with proactive Dynamic Software Product Lines. 26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA45728.2021.9613392 - - -
  16. Bujosa Mateu, D., Ashjaei, M., Papadopoulos, A. V., Proenza, J., & Nolte, T. (2021). LETRA: Mapping Legacy Ethernet-Based Traffic into TSN Traffic Classes. 26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA45728.2021.9613637 - - -
  17. Salman, S. M., Mubeen, S., Papadopoulos, A. V., & Nolte, T. (2021). Scheduling Elastic Applications in Compositional Real-Time Systems. 26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA45728.2021.9613375 - - -
  18. Marković, F., Papadopoulos, A. V., & Nolte, T. (2021). On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems. In B. B. Brandenburg (Ed.), 33rd Euromicro Conference on Real-Time Systems (ECRTS) (Vol. 196, pp. 16:1–16:22). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ECRTS.2021.16 - - - Outstanding paper award. Acceptance rate: 19% -
  19. Miloradović, B., Çürüklü, B., Ekström, M., & Papadopoulos, A. V. (2021). Exploiting Parallelism in Multi-Task Robot Allocation Problems. 21st IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 197–202. https://doi.org/10.1109/ICARSC52212.2021.9429814 - - -
  20. Persson, N., Andersson, T., Fattouh, A., Ekström, M. C., & Papadopoulos, A. V. (2021). A Comparative Analysis and Design of Controllers for Autonomous Bicycles. European Control Conference (ECC), 1570–1576. https://doi.org/10.23919/ECC54610.2021.9655223 - - -
  21. Al-Dulaimy, A., Taheri, J., Papadopoulos, A. V., & Nolte, T. (2021). LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing. 12th ACM/SPEC International Conference on Performance Engineering (ICPE), 117–124. https://doi.org/10.1145/3427921.3450254 - - -
  22. Frasheri, M., Esterle, L., & Papadopoulos, A. V. (2021). Cooperative Multi-Agent Systems for the Multi-Target κ-Coverage Problem. In A. P. Rocha, L. Steels, & J. van den Herik (Eds.), Agents and Artificial Intelligence (pp. 106–131). Springer International Publishing. https://doi.org/10.1007/978-3-030-71158-0_5 - - -
  23. Marković, F., Papadopoulos, A. V., & Nolte, T. (2021). On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems (Artifact). Dagstuhl Artifacts Series, 7(1), 1:1–1:2. https://doi.org/10.4230/DARTS.7.1.1 - -

2020

  1. Papadopoulos, A. V., & Biondi, A. (Eds.). (2020). Front Matter - ECRTS 2020 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee (Vol. 6, Number 1, pp. 0:i–0:x). Schloss Dagstuhl–Leibniz-Zentrum für Informatik. https://doi.org/10.4230/DARTS.6.1.0 - - -
  2. Gulisano, V., Papatriantafilou, M., & Papadopoulos, A. V. (2020). Elastic Resource Management in Stream Processing. In S. Sakr & A. Y. Zomaya (Eds.), Encyclopedia of Big Data Technologies (2nd edition). Springer International Publishing. -
  3. Papadopoulos, A. V., & Prandini, M. (2020). Fondamenti di Automatica: Esercizi (2 Edizione). Pearson Italia. - -
  4. Wang, W., Mosse, D., & Papadopoulos, A. V. (2020). Packet Priority Assignment for Wireless Control Systems of Multiple Physical Systems. Journal of Systems Architecture, 107, 101708. https://doi.org/10.1016/j.sysarc.2020.101708 - - -
  5. Johansson, B., Rågberger, M., Papadopoulos, A. V., & Nolte, T. (2020). Heartbeat Bully: Failure Detection and Redundancy Role Selection for Network-Centric Controller. 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2126–2133. https://doi.org/10.1109/IECON43393.2020.9254494 - - -
  6. Lager, A., Spampinato, G., Papadopoulos, A. V., & Nolte, T. (2020). IoT and Fog Analytics for Industrial Robot Applications. 25th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1, 1297–1300. https://doi.org/10.1109/ETFA46521.2020.9212065 - - -
  7. Bujosa Mateu, D., Hallmans, D., Ashjaei, M., Papadopoulos, A. V., Proenza, J., & Nolte, T. (2020). Clock Synchronization in Integrated TSN-EtherCAT Networks. 25th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1, 214–221. https://doi.org/10.1109/ETFA46521.2020.9212153 - - -
  8. Salman, S. M., Struhár, V., Bakhshi, Z., Dao, V.-L., Desai, N., Papadopoulos, A. V., Nolte, T., Karagiannis, V., Schulte, S., Venito, A., & Fohler, G. (2020). Enabling Fog-based Industrial Robotics Systems. 25th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1, 61–68. https://doi.org/10.1109/ETFA46521.2020.9211887 - - -
  9. Friebe, A., Papadopoulos, A. V., & Nolte, T. (2020, August). Identification and Validation of Markov Models with Continuous Emission Distributions for Execution Times. 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). https://doi.org/10.1109/RTCSA50079.2020.9203594 - - -
  10. Salman, S. M., Papadopoulos, A. V., Mubeen, S., & Nolte, T. (2020). A Systematic Migration Methodology for Complex Real-time Software Systems. 23rd IEEE International Symposium on Real-Time Distributed Computing (ISORC), 192–200. https://doi.org/10.1109/ISORC49007.2020.00041 - - - -
  11. Cámara, J., Papadopoulos, A. V., Weyns, D., Vogel, T., Garlan, D., Huang, S., & Tei, K. (2020). Towards Bridging the Gap between Control and Self-Adaptive System Properties. 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 78–84. https://doi.org/10.1145/3387939.3391568 - - - -
  12. Leva, A., Seva, S., Terraneo, F., Papadopoulos, A. V., & Maggio, M. (2020). How control-friendly is a computing system? And how control-friendly could it be? Proceedings of the 21st IFAC World Congress (IFAC WC), 53(2), 7857–7864. https://doi.org/10.1016/j.ifacol.2020.12.1962 - - -
  13. Salman, S. M., Akbar Sitompul, T., Papadopoulos, A. V., & Nolte, T. (2020). Fog Computing for Augmented Reality: Trends, Challenges and Opportunities. IEEE International Conference on Fog Computing (ICFC), 56–63. https://doi.org/10.1109/ICFC49376.2020.00017 - - -
  14. Frasheri, M., Cano-Garcia, J., Gonzalez-Parada, E., Çürüklü, B., Ekström, M., Papadopoulos, A. V., & Urdiales, C. (2020). Adaptive Autonomy in Wireless Sensor Networks. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 375–383. https://doi.org/10.5555/3398761.3398809 - - - - Acceptance rate: 23% -
  15. Frasheri, M., Esterle, L., & Papadopoulos, A. V. (2020). Modeling the Willingness to Interact in Cooperative Multi-Robot Systems. Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART), 1, 62–72. https://doi.org/10.5220/0008951900620072 - - -
  16. Miloradović, B., Çürüklü, B., Ekström, M., & Papadopoulos, A. V. (2020). A Genetic Algorithm Approach to Multi-Agent Mission Planning Problems. In G. H. Parlier, F. Liberatore, & M. Demange (Eds.), Operations Research and Enterprise Systems (pp. 109–134). Springer International Publishing. https://doi.org/10.1007/978-3-030-37584-3_6 - - -
  17. Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tůma, P., & Iosup, A. (2020). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. In M. Felderer, W. Hasselbring, R. Rabiser, & R. Jung (Eds.), Software Engineering, Fachtagung des GI-Fachbereichs Softwaretechnik: Vol. P-300 (pp. 93–94). Gesellschaft für Informatik e.V. https://doi.org/10.18420/SE2020_27 - -
  18. Papadopoulos, A. V., & Esterle, L. (2020). Situational Trust in Self-aware Collaborating Systems. Workshop on Self-Improving System Integration (SISSY) – IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 91–94. https://doi.org/10.1109/ACSOS-C51401.2020.00037 - -
  19. Struhár, V., Behnam, M., Ashjaei, M., & Papadopoulos, A. V. (2020). Real-Time Containers: A Survey. In A. Cervin & Y. Yang (Eds.), 2nd Workshop on Fog Computing and the IoT (Fog-IoT) (Vol. 80, pp. 7:1–7:9). Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/OASIcs.Fog-IoT.2020.7 - - -
  20. Papadopoulos, A. V., & Esterle, L. (2020, April). Trust in Self-aware Systems. Self-Awareness in Cyber-Physical Systems (SelPhyS). -

2019

  1. Quinton, S., Altmeyer, S., & Papadopoulos, A. V. (Eds.). (2019). Front Matter - ECRTS 2019 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee (Vol. 5, Number 1, pp. 0:i–0:ix). Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/DARTS.5.1.0 - -
  2. Gulisano, V., Papatriantafilou, M., & Papadopoulos, A. V. (2019). Elasticity. In S. Sakr & A. Y. Zomaya (Eds.), Encyclopedia of Big Data Technologies (pp. 1–7). Springer International Publishing. https://doi.org/10.1007/978-3-319-63962-8_191-1 - -
  3. Leva, A., Papadopoulos, A. V., Seva, S., & Cimino, C. (2019). Explicit model-based real PID tuning for efficient load disturbance rejection. Industrial & Engineering Chemistry Research, 58(51), 23211–23224. https://doi.org/10.1021/acs.iecr.9b04198 - -
  4. 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 - - -
  5. Friebe, A., Papadopoulos, A. V., & Nolte, T. (2019). Work-In-Progress: Validation of Probabilistic Timing Models of a Periodic Task with Interference – A Case Study. 40th IEEE Real-Time Systems Symposium (RTSS), 524–527. https://doi.org/10.1109/RTSS46320.2019.00055 - -
  6. Miloradović, B., Frasheri, M., Cürüklü, B., Ekström, M., & Papadopoulos, A. V. (2019). TAMER: Task Allocation in Multi-Robot Systems Through an Entity-Relationship Model. In M. Baldoni, M. Dastani, B. Liao, Y. Sakurai, & R. Zalila Wenkstern (Eds.), Principles and Practice of Multi-Agent Systems (PRIMA) (pp. 478–486). Springer International Publishing. https://doi.org/10.1007/978-3-030-33792-6_32 - - -
  7. Johansson, B., Papadopoulos, A. V., & Nolte, T. (2019). Concurrency defect localization in embedded systems using static code analysis: An Evaluation. 30th International Symposium on Software Reliability Engineering (ISSRE), 7–12. https://doi.org/10.1109/ISSREW.2019.00034 - - - - Best industrial paper award candidate -
  8. Struhár, V., Ashjaei, M., Behnam, M., Craciunas, S. S., & Papadopoulos, A. V. (2019). DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks. 45th Annual Conference of the IEEE Industrial Electronics Society (IECON), 1, 2934–2939. https://doi.org/10.1109/IECON.2019.8927780 - - -
  9. Lager, A., Spampinato, G., Papadopoulos, A. V., & Nolte, T. (2019). Towards Reactive Robot Applications in Dynamic Environments. 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1603–1606. https://doi.org/10.1109/ETFA.2019.8868963 - - -
  10. Johansson, B., Leander, B., Čaušević, A., Papadopoulos, A. V., & Nolte, T. (2019). Classification of PROFINET I/O Configurations utilizing Neural Networks. 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1321–1324. https://doi.org/10.1109/ETFA.2019.8869024 - - -
  11. Relefors, J., Momeni, M., Petterson, L., Hellström, E., Thunell, A., Papadopoulos, A. V., & Nolte, T. (2019). Towards Automated Installation of Reinforcement Using Industrial Robots. 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1595–1598. https://doi.org/10.1109/ETFA.2019.8869343 - - -
  12. Thörn, J., Vidimlic, N., Friebe, A., Papadopoulos, A. V., & Nolte, T. (2019). Timing analysis of a periodic task on a microcontroller. 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 1419–1422. https://doi.org/10.1109/ETFA.2019.8869210 - - -
  13. Wang, W., Mosse, D., & Papadopoulos, A. V. (2019). Packet Priority Assignment for Wireless Control Systems of Multiple Physical Systems. 22nd IEEE International Symposium on Real-Time Distributed Computing (ISORC), 143–150. https://doi.org/10.1109/ISORC.2019.00036 - - -
  14. Miloradović, B., Cürüklü, B., Ekström, M., & Papadopoulos, A. V. (2019). Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems. International Conference on Operations Research and Enterprise Systems (ICORES), 237–244. https://doi.org/10.5220/0007309002370244 - - -
  15. Čaušević, A., Papadopoulos, A. V., & Sirjani, M. (2019). Towards a Framework for Safe and Secure Adaptive Collaborative Systems. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2, 165–170. https://doi.org/10.1109/COMPSAC.2019.10201 - - -
  16. Salman, S. M., Struhár, V., Papadopoulos, A. V., Behnam, M., & Nolte, T. (2019). Fogification of Industrial Robotic Systems: Research Challenges. Proceedings of the Workshop on Fog Computing and the IoT (Fog-IoT), 41–45. https://doi.org/10.1145/3313150.3313225 - - -
  17. Ilyushkin, A., Bauer, A., Papadopoulos, A. V., Deelman, E., & Iosup, A. (2019). Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows: Vol. abs/1905.10270. CoRR. http://arxiv.org/abs/1905.10270 -
  18. Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tůma, P., & Iosup, A. (2019). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing (SPEC-RG-2019-03; Number SPEC-RG-2019-03). SPEC. https://research.spec.org/news/single-view/article/technical-report-on-reproducible-performance-evaluation-in-cloud-computing-published.html - - -
  19. Papadopoulos, A. V., & Maggio, M. (2019). Autonomous Computing Systems: The Convergence of Control Theory and Computing Systems. IEEE Software Blog. http://blog.ieeesoftware.org/2019/07/autonomous-computing-systems.html - -

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 - -
  6. Struhár, V., Papadopoulos, A. V., & Behnam, M. (2018). Fog Computing for Adaptive Human-robot Collaboration: Work-in-progress. Proceedings of the International Conference on Embedded Software (EMSOFT), 14:1–14:2. http://dl.acm.org/citation.cfm?id=3283535.3283549 - -
  7. Frasheri, M., Cürüklü, B., Ekström, M., & Papadopoulos, A. V. (2018). Adaptive Autonomy in a Search and Rescue Scenario. Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 150–155. https://doi.org/10.1109/SASO.2018.00026 - - -
  8. Papadopoulos, A. V., & Maggio, M. (2018). Challenges in High Performance Big Data Frameworks. 2018 International Conference on High Performance Computing Simulation (HPCS), 153–156. https://doi.org/10.1109/HPCS.2018.00039 - - -
  9. 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) (Vol. 106, pp. 14:1–14:22). Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ECRTS.2018.14 - - - - Acceptance rate: 33% -
  10. Leva, A., Seva, S., & Papadopoulos, A. V. (2018). Progress Rate Control for Computer Applications. European Control Conference (ECC), 3173–3178. https://doi.org/10.23919/ECC.2018.8550414 - - -
  11. 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. The CSI International Symposium on Real-Time and Embedded Systems and Technologies (RTEST), 54–62. https://doi.org/10.1109/RTEST.2018.8397079 - - -
  12. Souza, A., Papadopoulos, A. V., Tomás Bolivar, L., Gilbert, D., & Tordsson, J. (2018). Hybrid Adaptive Checkpointing for Virtual Machine Fault Tolerance. IEEE International Conference on Cloud Engineering (IC2E), 12–22. https://doi.org/10.1109/IC2E.2018.00023 - - - Acceptance rate: 19%. (Best paper award candidate) -
  13. 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., Abdelzaher, T., Esterle, L., Giese, H., Kephart, J. O., Mengshoel, O. J., Papadopoulos, A. V., Robertsson, A., & 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). Springer International Publishing. https://doi.org/10.1007/978-3-319-47474-8_12 - -
  2. 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 - - -
  3. Filieri, A., Maggio, M., Angelopoulos, K., D’Ippolito, N., Gerostathopoulos, I., Hempel, A. B., Hoffmann, H., Jamshidi, P., Kalyvianaki, E., Klein, C., Krikava, F., Misailovic, S., Papadopoulos, A. V., Ray, S., Sharifloo, A. M., Shevtsov, S., Ujma, M., & 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 - - -
  4. Papadopoulos, A. V., Maggio, M., Leva, A., & Bini, E. (2017, December). Hard Real-Time Guarantees in Feedback-based Resource Reservations. 38th IEEE Real-Time Systems Symposium (Journal Never Presented on Conference) (RTSS). - -
  5. Papadopoulos, A. V., Krzywda, J., Elmroth, E., & Maggio, M. (2017). Power-aware cloud brownout: Response time and power consumption control. IEEE 56th Annual Conference on Decision and Control (CDC), 2686–2691. https://doi.org/10.1109/CDC.2017.8264049 - - -
  6. Maggio, M., Papadopoulos, A. V., Filieri, A., & Hoffmann, H. (2017). Automated Control of Multiple Software Goals using Multiple Actuators. 11th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE), 373–384. https://doi.org/10.1145/3106237.3106247 - - - -
  7. Papadopoulos, A. V., Abbaspour Asadollah, S., Ashjaei, M., Mubeen, S., Pei-Breivold, H., & Behnam, M. (2017). SLAs for Industrial IoT: Mind the Gap. 4th International Symposium on Intercloud and IoT (ICI), 75–78. https://doi.org/10.1109/FiCloudW.2017.70 - - -
  8. Gulisano, V., Papadopoulos, A. V., Nikolakopoulos, Y., Papatriantafilou, M., & Tsigas, P. (2017). Performance modeling of stream joins. Proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems (DEBS), 191–202. https://doi.org/10.1145/3093742.3093923 - - - - Acceptance rate: 24% -
  9. Leva, A., & Papadopoulos, A. V. (2017). Modelling and Control of Big Data Frameworks. Proceedings of the 20th IFAC World Congress (IFAC WC), 20, 6110–6115. https://doi.org/10.1016/j.ifacol.2017.08.2017 - - -
  10. Moreno, G. A., Papadopoulos, A. V., Angelopoulos, K., Cámara, J., & Schmerl, B. (2017). Comparing Model-Based Predictive Approaches to Self-Adaptation: CobRA and PLA. 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 42–53. https://doi.org/10.1109/SEAMS.2017.2 - - - Acceptance rate: 23% (Best paper award candidate) -
  11. Maggio, M., Papadopoulos, A. V., Filieri, A., & Hoffmann, H. (2017). Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple. 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 123–128. https://doi.org/10.1109/SEAMS.2017.16 - - - Best artefact award - -
  12. Tärneberg, W., Papadopoulos, A. V., Mehta, A., Tordsson, J., & Kihl, M. (2017). Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network. 1st International Conference on Fog and Edge Computing (ICFEC), 51–60. https://doi.org/10.1109/ICFEC.2017.10 - - - Acceptance rate: 24% -
  13. Lakew, E. B., Papadopoulos, A. V., Maggio, M., Klein, C., & Elmroth, E. (2017). KPI-agnostic Control for Fine-Grained Vertical Elasticity. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 589–598. https://doi.org/10.1109/CCGRID.2017.71 - - - Acceptance rate: 24% -
  14. 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. Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering (ICPE), 75–86. https://doi.org/10.1145/3030207.3030214 - - - Best paper award candidate -
  15. 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 -

2016

  1. Papadopoulos, A. V., & Prandini, M. (2016). Fondamenti di Automatica: Esercizi. Pearson Italia. - -
  2. 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 - - -
  3. Papadopoulos, A. V., Klein, C., Maggio, M., Dürango, J., Dellkrantz, M., Hernández-Rodriguez, F., Elmroth, E., & 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 - - -
  4. 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 - - -
  5. 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 - - -
  6. 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 - - -
  7. Ilyushkin, A., Ali-Eldin, A., Herbst, N., Papadopoulos, A. V., Bogdan, G., Epema, D., & Iosup, A. (2016, October). An Experimental Performance Evaluation of Autoscaling Algorithms for Complex Workflows. ACM Symposium on Cloud Computing (SOCC). -
  8. Angelopoulos, K., Papadopoulos, A. V., Souza Vı́tor Estêvão Silva, & Mylopoulos, J. (2016, April). Model Predictive Control for Software Systems with CobRA. 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). https://doi.org/10.1145/2897053.2897054 - - - Best paper award candidate -
  9. 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. Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering (ICPE), 131–132. https://doi.org/10.1145/2851553.2858677 - - -
  10. Terraneo, F., Papadopoulos, A. V., Leva, A., & Prandini, M. (2016, November). FLOPSYNC-QACS: Quantization-Aware Clock Synchronization for Wireless Sensor Networks. 4th International Workshop on Real Time Computing and Distributed Systems in Emergent Applications (REACTION). -

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 - -
  4. Papadopoulos, A. V., & Maggio, M. (2015). Virtual Machine Migration in Cloud Infrastructures: Problem Formalization and Policies Proposal. IEEE 54th Annual Conference on Decision and Control (CDC), 6698–6705. https://doi.org/10.1109/CDC.2015.7403274 - -
  5. 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. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), 175–184. https://doi.org/10.1109/RTSS.2015.24 - - - Best paper award candidate -
  6. Papadopoulos, A. V., Carone, R., Maggio, M., & Leva, A. (2015). A control-theoretical approach to thread scheduling for multicore processors. IEEE Conference on Control Applications (CCA), 1103–1110. https://doi.org/10.1109/CCA.2015.7320760 - -
  7. Desmeurs, D., Klein, C., Papadopoulos, A. V., & Tordsson, J. (2015). Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times. IEEE International Conference on Cloud and Autonomic Computing (ICCAC), 1–12. https://doi.org/10.1109/ICCAC.2015.25 - -
  8. Filieri, A., Maggio, M., Angelopoulos, K., D’Ippolito, N., Gerostathopoulos, I., Hempel, A. B., Hoffmann, H., Jamshidi, P., Kalyvianaki, E., Klein, C., Krikava, F., Misailovic, S., Papadopoulos, A. V., Ray, S., Sharifloo, A. M., Shevtsov, S., Ujma, M., & Vogel, T. (2015). Software Engineering Meets Control Theory. 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 71–82. https://doi.org/10.1109/SEAMS.2015.12 - - -
  9. Leva, A., & Papadopoulos, A. V. (2015). Disturbance rejection in autotuners: an assessment method and a rule proposal. American Control Conference (ACC), 2876–2881. https://doi.org/10.1109/ACC.2015.7171171 - -
  10. Angelopoulos, K., Papadopoulos, A. V., & Mylopoulos, J. (2015). Adaptive Predictive Control for Self-Adaptive Software Systems. Proceedings of the 1st International Workshop on Control Theory for Software Engineering (CTSE), 17–21. https://doi.org/10.1145/2804337.2804340 - -
  11. Papadopoulos, A. V. (2015, April). Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities. 10th International Workshop on Feedback Computing. -

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

2013

  1. Leva, A., Maggio, M., Papadopoulos, A. V., & Terraneo, F. (2013). Control-based operating system design. IET. https://doi.org/10.1049/PBCE089E - -
  2. 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 - -
  3. 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 - -
  4. 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 - -
  5. Papadopoulos, A. V., Åkesson, J., Casella, F., & Leva, A. (2013). Automatic Partitioning and Simulation of Weakly Coupled Systems. IEEE 52nd Annual Conference on Decision and Control (CDC), 3172–3177. https://doi.org/10.1109/CDC.2013.6760367 - -
  6. Leva, A., Papadopoulos, A. V., & Maggio, M. (2013). A general control-theoretical methodology for runtime resource allocation in computing systems. IEEE 52nd Annual Conference on Decision and Control (CDC), 3487–3492. https://doi.org/10.1109/CDC.2013.6760418 - -
  7. Papadopoulos, A. V., Bascetta, L., & Ferretti, G. (2013). Generation of Human Walking Paths. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1676–1681. https://doi.org/10.1109/IROS.2013.6696574 - -
  8. Leva, A., & Papadopoulos, A. V. (2013). Teaching a conscious use of PI/PID tuning rules. 10th IFAC Symposium on Advances in Control Education (ACE), 10, 25–30. https://doi.org/10.3182/20130828-3-UK-2039.00007 - -
  9. Papadopoulos, A. V., & Leva, A. (2013). Laboratories over the network: from remote to mobile. 10th IFAC Symposium on Advances in Control Education (ACE), 10, 84–89. https://doi.org/10.3182/20130828-3-UK-2039.00025 - -
  10. Papadopoulos, A. V., & Leva, A. (2013). Automating Dynamic Decoupling in Object-Oriented Modelling and Simulation Tools. 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools (EOOLT), 084, 37–44. - -

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 - -
  3. Papadopoulos, A. V., & Leva, A. (2012). Antiwindup-aware PI autotuning. Proceedings IFAC Conference on Advances in PID Control (PID), 2, 554–559. https://doi.org/10.3182/20120328-3-IT-3014.00094 - -
  4. Maggio, M., Terraneo, F., Papadopoulos, A. V., & Leva, A. (2012). A PI-based control structure as an operating system scheduler. Proceedings IFAC Conference on Advances in PID Control (PID), 2, 329–334. https://doi.org/10.3182/20120328-3-IT-3014.00056 - -
  5. Papadopoulos, A. V., Maggio, M., & Leva, A. (2012). Control and design of computing systems: what to model and how. Proceedings of the 7th International Conference of Mathematical Modelling (MATHMOD), 7, 102–107. https://doi.org/10.3182/20120215-3-AT-3016.00018 - -
  6. Papadopoulos, A. V., Maggio, M., Casella, F., & Åkesson, J. (2012). Function inlining in Modelica models. Proceedings of the 7th International Conference of Mathematical Modelling (MATHMOD), 7, 1091–1094. https://doi.org/10.3182/20120215-3-AT-3016.00193 - -
  7. Maggio, M., Papadopoulos, A. V., & Leva, A. (2012, September). SMART Computing Systems: Sensing, Modelling, Actuating, Regulating, and Tuning. 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.), Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction (INTERACT) (Vol. 6948, pp. 152–168). 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. Proceedings of the 18th IFAC World Congress (IFAC WC), 18, 13522–13527. 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. Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA), 1927–1932. https://doi.org/10.1145/1979742.1979896 - -

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 - -

2009

  1. Leva, A., Negro, S., & Papadopoulos, A. V. (2009). PI(D) Tuning with Contextual Model Identification. Proceedings of the European Control Conference (ECC), 4013–4018. https://doi.org/10.23919/ECC.2009.7075028 - -
Last modified: 2021-12-16 11:24:01 +0100