New Data Intensive Computing Methods for High-End and Edge Computing Platforms
- Grupos de investigación
- Engineering
- Computer Architecture and Technology Area (ARCOS)
- Research
- Projects
- New Data Intensive Computing Methods for High-End and Edge Computing Platforms
Summary
ITC global ecosystem is in transition to a new generation of applications that require data acquisition, processing and intensive storage systems from all kind of sensors that generate immense amounts of data. To provide the need of high-performance and very low processing latency, such complex applications, in many cases are structured as workflows that process data through a combination of data streams distributed in Edge Computing environments with Cloud processing. However, existing frameworks are very complex, require many resources, which are not usually available in Edge Computing systems, and do not adapt well to the execution of complex applications that require high performance and low latency due to lack of global coordination. For this type of applications, the great disparity between computing power and data management remains a problem, as well as the lack of adequate programming mechanisms and models to efficiently exploit the performance offered by hybrid architectures jointly formed by High-End (HEC) and Edge Computing platforms. There are other pending challenges such as the possibility of being able to deploy high-performance applications on the nodes of the system edge (Edge) that can filter/add data with low latency, have the ability to move applications and data dynamically through different layers according to the needs of the system, as well as the use of collaborative mechanisms to ensure and trace compliance with data requirements and execution conditions.
The main objective of this proposal is to design new techniques that combine the facilities of High-End Computing and Edge Computing for the realization of an efficient decentralized and hybrid environment for the execution of complex data intensive applications using the resources of the chain Optimally and safely. The specific objectives of the project are:
To design an environment for the execution of data intensive applications in HEC and Edge Computing hybrid environments;
To design and develop programming models at node level and distributed for applications to run in hybrid environments;
To design and develop data management methods that integrate heterogeneous resources from HEC and Edge Computing;
To design communication mechanisms coordination and cooperation between different levels of framework; evaluate the feasibility of the proposed solutions through use cases.
Work packages
WP1.- Architectural framework design and development.
This work package is aimed to integrate the complex infrastructure of data analytics systems that includes from sensors to Edge, Cloud and HPC systems. We will investigate the necessary functionalities based on the challenges detected and the proposed use cases, to provide an integrated framework for stream and memory efficient data analysis for large-scale HEC infrastructures that focus on intensive data computing, as well as an integrated development environment. This framework, called DECIDE, aims to facilitate the development of parallel and data-intensive application codes for large-scale systems, facilitating the development of applications, hiding details of the underlying runtime and hardware systems.
WP2.- Programming models for complex data-intensive applications in hybrid platforms.
To investigate, using the architecture and services developed in WP1, how to represent, build, manage, and deploy data complex applications to execute in hybrid platforms using HEC and edge resources. These applications will take into account complex workflows that combine HEC and data analytics applications. The execution of this kind of applications will be based on data-driven and dynamics mechanisms. The idea of this new model is to simplify the development and deployment of complex data-intensive applications.
WP3.- Massive data management software stack.
This work package investigates new massive data management mechanisms to integrate in the programming model developed in WP2. New data-intensive applications will require access to different kind of storage: parallel file systems, distributed file systems, and in-memory data systems. Furthermore, many applications will require the processing of data streams. The objective is to develop mechanisms to integrate and hide to applications, the diversity of data sources, and improving the performance in data access
WP4.- Cross-layer control mechanisms.
This work package investigates intermodular and multilevel mechanisms to facilitate intelligent decision-making regarding data and computation. To achieve this, we will create cross-layer control and coordination mechanisms based on information collected from systems and applications that will coordinate globally the job orchestration to provide QoS-aware scheduling decisions.
WP5.- Integration and validation.
The purpose of this WP is to evaluate the feasibility of the solutions proposed in the project through significant use cases and benchmarks by integrating the different solutions designed in the previous work packages to obtain the DECIDE framework. Then, we will design and define the uses cases to evaluate the feasibility of this framework. Finally, evaluation stage will be accomplished for the former use cases and relevant benchmarks.
WP6.- Coordination and scheduling of activities.
Deliverables
Publications
Publicaciones en revistas:
2023
1. Elías Del-Pozo-Puñal, Félix García-Carballeira, Diego Camarmas-Alonso. A Generic Simulator for Cloud, Fog and Edge Computing Platforms with Mobility Support. Future Generation Computer System. Vol. 144, julio 2023. Pag. 117-130
2. Miguel Guzman Merino, Maria-Cristina Marinescu, Alberto Cascajo, Jesús Carretero, David E. Singh, Evaluating the spread of Omicron COVID-19 variant in Spain, Future Generation Computer Systems, Volume 149, 2023, Pages 547-561, ISSN 0167-739X, https://doi.org/10.1016/j.future.2023.07.025
3. Carrizales-Espinoza, D., Sanchez-Gallegos, D.D., Gonzalez-Compean, J.L. et al. FedFlow: a federated platform to build secure sharing and synchronization services for health dataflows. Computing 105, 1019–1037 (2023). https://doi.org/10.1007/s00607-021-01044-3
4. Cascajo et al., "Monitoring InfiniBand Networks to React Efficiently to Congestion," in IEEE Micro, vol. 43, no. 2, pp. 120-130, 1 March-April 2023, DOI: 10.1109/MM.2023.3241840
5. G Mellone, CG De Vita, DD Sánchez‐Gallegos, G Sánchez‐Gallegos, J Carretero.... A novel approach for large‐scale environmental data partitioning on cloud and on‐premises storage for compute continuum applications. Concurrency and Computation: Practice and Experience 35 (25), e7893. 2023.
6. G Sanchez-Gallegos, DD Sanchez-Gallegos, JL Gonzalez-Compean, J Carretero.... On the building of efficient self-adaptable health data science services by using dynamic patterns. Future Generation Computer Systems 145, 478-495. 2 2023.
2022
7. Alberto Cascajo, Gabriel Gomez Lopez, Jesus Escudero-Sahuquillo, Pedro Javier Garcia, David E. Singh, Francisco Alfaro, Francisco J. Quiles and Jesús Carretero (2022). Improving Congestion Control through Fine-Grain Monitoring of InfiniBand Networks. HOT Interconnects–HOTI. https://doi.org/10.1109/hoti55740.2022.00020
8. Sanchez-Gallegos, D. D., Gonzalez-Compean, J. L., Carretero, J., Marin-Castro, H. M., Tchernykh, A., & Montella, R. (2022). PuzzleMesh: A puzzle model to build mesh of agnostic services for edge-fog-cloud. IEEE Transactions on Services Computing, 16(2), 1334-1345. DOI: 10.1109/TSC.2022.3175057
9. L Visuña, D Yang, J Garcia-Blas, J Carretero.. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning. BMC Medical Imaging 22 (1), 178. 2022.
10. D Talia, P Trunfio, J Carretero, J Garcia-Blas.. Towards Exascale Solutions for Big Data Computing. Frontiers in big Data 5, 838097. 2022.
2021
11. Miguel Guzmán-Merino, Christian Durán, Maria-Cristina Marinescu, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero, David E. Singh, Assessing population-sampling strategies for reducing the COVID-19 incidence, Computers in Biology and Medicine, Volume 139, 2021, 104938, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2021.104938
12. J. Armando Barron-Lugo, Jose Luis Gonzalez-Compean, Jesus Carretero, Ivan Lopez-Arevalo, Raffaele Montella, A novel transversal processing model to build environmental big data services in the cloud, Environmental Modelling & Software, Volume 144, 2021, 105173, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2021.105173
13. Garcia-Carballeira, F., Calderon, A. & Carretero, J. Enhancing the power of two choices load balancing algorithm using round robin policy. Cluster Computing 24, 611–624 (2021). https://doi.org/10.1007/s10586-020-03139-6
14. David E. Singh, Maria-Cristina Marinescu, Miguel Guzman-Merino, Christian Duran, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero. Simulation of COVID-19 propagation scenarios in the Madrid metropolitan area. Frontiers in Public Health. 2021. DOI: 10.3389/fpubh.2021.636023
15. Martinez-Rendon, C., Camarmas-Alonso, D., Carretero, J. et al. On the continuous contract verification using blockchain and real-time data. Cluster Computing 25, 2179–2201 (2022). https://doi.org/10.1007/s10586-021-03252-0
16. D Yang, C Martinez, L Visuña, H Khandhar, C Bhatt, J Carretero. Detection and analysis of COVID-19 in medical images using deep learning techniques. Nature, Scientific Reports 11 (1), 19638. 2021.
2020
17. D. D. Sánchez-Gallegos, D. Carrizales-Espinoza, H. G. Reyes-Anastacio, J. Gonzalez-Compean, J. Carretero, M. Morales-Sandoval, and A. Galaviz-Mosqueda, “From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data,” Simulation Modelling Practice and Theory, vol. 105, p. 102136, December, 2020. https://doi.org/10.1016/j.simpat.2020.102136
18. Hugo G. Reyes-Anastacio, J.L Gonzalez-Compean, Victor J. Sosa-Sosa, Jesus Carretero, Javier Garcia-Blas. Kulla, a container-centric construction model for building infrastructure-agnostic distributed and parallel applications, Journal of Systems and Software, Volume 168, 2020, 110665, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2020.110665
19. Javier Garcia-Blas, David del Rio Astorga, Jesus Carretero, J. Daniel Garcia, Towards enhanced MRI by using a multiple back end programming framework, Future Generation Computer Systems, Volume 112, 2020, Pages 467-477, ISSN 0167-739X, https://doi.org/10.1016/j.future.2020.05.039
20. David E. Singh, Maria-Cristina Marinescu, Jesus Carretero, Concepcion Delgado-Sanz, Diana Gomez-Barroso, Amparo Larrauri. Evaluating the impact of the weather conditions on the influenza propagation. BMC Infectious Diseases. 20, 265. 2020. DOI: 10.1186/s12879-020-04977-w. PMID: 32248792; PMCID: PMC7132999
21. J. Daniel Garcia, David del Río, Marco Aldinucci, Fabio Tordini, Marco Danelutto, Gabriele Mencagli, Massimo Torquati. Challenging the abstraction penalty in parallel patterns libraries. Journal of Supercomputing 76:5139#5159, julio 2020. ISSN: 0920-8542. https://doi.org/10.1007/s11227-019-02826-5
22. DD Sánchez-Gallegos, A Galaviz-Mosqueda, JL Gonzalez-Compean, J Carretero..... On the continuous processing of health data in edge-fog-cloud computing by using micro/nanoservice composition. IEEE Access 8, 120255-120281. 2020.
23. MA Gomez-Rodriguez, VJ Sosa-Sosa, J Carretero, JL Gonzalez. CloudBench: an integrated evaluation of VM placement algorithms in clouds. The Journal of Supercomputing 76 (9), 7047-7080. 2020.
24. S Caíno-Lores, A Lapin, J Carretero, P Kropf. Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions. Future Generation Computer Systems 110, 440-452. 2020.
25. E Serrano, J Garcia-Blas, J Carretero, M Desco, M Abella. Accelerated iterative image reconstruction for cone-beam computed tomography through Big Data frameworks. Future Generation Computer Systems 106, 534-544. 3 2020.
26. M Santiago-Duran, JL Gonzalez-Compean, A Brinkmann, J Carretero..... A gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers. Future Generation Computer Systems 106, 304-319. 12 2020.
27. D Expósito Singh, MC Marinescu, J Carretero Pérez. Evaluating the impact of the weather conditions on the influenza propagation. BMC. 2020.
28. VJ Sosa-Sosa, A Barron, JL Gonzalez-Compean, J Carretero, ..... Improving performance and capacity utilization in cloud storage for content delivery and sharing services. IEEE Transactions on Cloud Computing 10 (1), 439-450. 9 2020.
2019
29. A Melo, J Carretero, P Stenstrom, S Ranka, E Ayguade.. Trends on heterogeneous and innovative hardware and software systems. Journal of Parallel and Distributed Computing 133, 362-364. 2019.
30. S Caíno-Lores, J Carretero, B Nicolae, O Yildiz, T Peterka.. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access 7, 156929-156955. 15 2019.
31. A Cascajo, DE Singh, J Carretero.. Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters. A Cascajo, DE Singh, J Carretero. Electronics 8 (9), 982. 2019.
32. JL Gonzalez-Compean, O Telles, I Lopez-Arevalo, M Morales-Sandoval, A policy-based containerized filter for secure information sharing in organizational environments. Future Generation Computer Systems 95, 430-444. 2019.
33. DE Singh, J Carretero. Combining malleability and I/O control mechanisms to enhance the execution of multiple applications. Journal of Systems and Software 148, 21-36. 2019.
Otras publicaciones del proyecto:
1. Jesus Carretero, Dagmar Krefting. Special Issue on “New Parallel and Distributed Tools and Algorithms for Life Sciences”. Future Generation Computer Systems. Volume 112. 2020. ISSN 0167-739X. https://doi.org/10.1016/j.future.2020.07.058.
2. Christopher Brown, Vladimir Janjic, Adam D. Barwell, J. Daniel Garcia, K. MacKenzie. Refactoring GrPPI: Generic Refactoring for Generic Parallelism in C++. International Journal of Parallel Programming. 48:603#625, agosto 2020. Springer, Estados Unidos. ISSN: 1573-7640. https://doi.org/10.1007/s10766-020-00667-x
3. ABI, B., et al. Neutrino interaction classification with a convolutional neural network in the DUNE far detector. Physical Review D, 2020, vol. 102, no 9, p. 092003. DOI: 10.1103/PhysRevD.102.092003
4. Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García. Detecting semantic violations of lock-free data structures through C++ contracts. Journal of Supercomputing. 76:5057#5078, julio de 2020. ISSN: 0920-8542. https://doi.org/10.1007/s11227-019-02827-4
5. María Isabel Ortiz-Lizcano, Enrique Arias-Antunez, Ángel Hernández Bravo, María Blanca Caminero, Tomás Rojo Guillen, Syong Hyun Nam Cha, Increasing the security and traceability of biological samples in biobanks by blockchain technology, Computer Methods and Programs in Biomedicine, Volume 231, 2023, 107379, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2023.107379
6. J Carretero, D Krefting. Cluster and Cloud Computing for Life Sciences. Future Generation Computer Systems. 2023.
7. S Lozano, T Lugo, J Carretero. A Comprehensive Survey on the Use of Hypervisors in Safety-Critical Systems. IEEE Access. 2023.
8. T Lugo, S Lozano, J Fernández, J Carretero. A Survey of Techniques for Reducing Interference in Real-Time Applications on Multicore Platforms. IEEE Access 10, 21853-21882. 2022.
Publicaciones en libros/capítulos de libros:
1. J Carretero, E Jeannot, A Zomaya. Ultrascale Computing Systems. IET – The Institution of Engineering and Technology. 2019.
2. A Bilas, J Carretero Pérez, T Cortes, FJ García Blas, P González Ferez, ... Data management techniques. IET-The Institution Of Engineering And Technology. 2019.
Publicaciones en “open acess” directamente relacionadas con los resultados del proyecto.
1. S Caíno-Lores, J Carretero, B Nicolae, O Yildiz, T Peterka. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access 7, 156929-156955. 15 2019.
2. A Cascajo, DE Singh, J Carretero.. Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters. Electronics 8 (9), 982. 2019.
3. David E. Singh, Maria-Cristina Marinescu, Jesus Carretero, Concepcion Delgado-Sanz, Diana Gomez-Barroso, Amparo Larrauri. Evaluating the impact of the weather conditions on the influenza propagation. BMC Infectious Diseases. 20, 265. 2020. DOI: 10.1186/s12879-020-04977-w. PMID: 32248792; PMCID: PMC7132999
4. DD Sánchez-Gallegos, A Galaviz-Mosqueda, JL Gonzalez-Compean, J Carretero..... On the continuous processing of health data in edge-fog-cloud computing by using micro/nanoservice composition. IEEE Access 8, 120255-120281. 2020.
5. D Expósito Singh, MC Marinescu, J Carretero Pérez. Evaluating the impact of the weather conditions on the influenza propagation. BMC. 2020.
6. David E. Singh, Maria-Cristina Marinescu, Miguel Guzman-Merino, Christian Duran, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero. Simulation of COVID-19 propagation scenarios in the Madrid metropolitan area. Frontiers in Public Health. 2021. DOI: 10.3389/fpubh.2021.636023
7. D Yang, C Martinez, L Visuña, H Khandhar, C Bhatt, J Carretero. Detection and analysis of COVID-19 in medical images using deep learning techniques. Nature, Scientific Reports 11 (1), 19638. 2021.
8. L Visuña, D Yang, J Garcia-Blas, J Carretero.. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning. BMC Medical Imaging 22 (1), 178. 2022.
9. D Talia, P Trunfio, J Carretero, J Garcia-Blas.. Towards Exascale Solutions for Big Data Computing. Frontiers in big Data 5, 838097. 2022.
10. Cascajo et al., "Monitoring InfiniBand Networks to React Efficiently to Congestion," in IEEE Micro, vol. 43, no. 2, pp. 120-130, 1 March-April 2023, DOI: 10.1109/MM.2023.3241840
Conferencias:
2023
1. Herramienta de pegado de múltiples camas para tomografía computarizadaSanchez-Gallegos, G., Garcia-Blas, J., Petre, C., & Carretero, J. (2023, September). Sistema distribuido de archivos ad hoc para cargas de trabajo intensivas en datos en aplicaciones HPC. In Jornadas Sarteco 2023, XXXIII Jornadas de Paralelismo. Ciudad Real, Spain. (SARTECO 2023).
2. E. Del-Pozo, F. Garcia-Carballeira, D. Camarmas-Alonso, A. Calderón. (2023, September). Sistema de ficheros distribuido para IoT basado en Expand. In Jornadas Sarteco 2023, XXXIII Jornadas de Paralelismo. Ciudad Real, Spain. (SARTECO 2023).
3. Vladislav Kashansky, Sara Agha Hossein Kashani, Hai Zhuge, Javier Garcia-Blas, Fabrizio Marozzo. (2023, September). Intelligent and Sustainable Transportation through Multi-Objective Model for the Logistic Route-Order Dispatching System. In Proceedings of the 2023 ACM Conference on Information Technology for Social Good. (ACM 2023). https://doi.org/10.1145/3582515.3609578
4. Garcia-Blas, J., Sanchez-Gallegos, G., Petre, C., Martinelli, A. R., Aldinucci, M., & Carretero, J. (2023, August). Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications. In European Conference on Parallel Processing (pp. 679-693). Cham: Springer Nature Switzerland. Limassol, Cyprus. (Euro-PAR 2023).
5. Genaro Sanchez-Gallegos, Javier Garcia-Blas, Cosmin Petre, Jesús Carretero. (2023, May). Malleable and Adaptive Ad-Hoc File System for Data Intensive Workloads. In HPC Applications. In Proceedings of International Conference on High Performance Computing. Hamburg, Germany. (ISC 2023).
6. Sanchez-Gallegos, G., Garcia-Blas, J., Petre, C., & Carretero, J. (2023, April). Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications. In HPCMALL 2023, 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing. (HPCMALL 2023).
7. Elías Del-Pozo, Felix Garcia-Carballeira. (2023, March). ENIGMA: A Scalable Simulator for IoT and Edge Computing. BDCSA2023: Big Data Convergence: from Sensors to Applications. Workshop of PDP 2023. 31zt Euromicro International Conference on Parallel, distributed, and Network based Processing. Napoles, Italia. (PDP 2023).
8. DD Sanchez-Gallegos, D Carrizales-Espinoza, JL Gonzalez-Compean, J Carretero..... eScience serverless data storage services in the edge-fog-cloud continuum. IEEE 19th International Conference on e-Science (e-Science), 1-4. 2023.
9. G Sanchez-Gallegos, J Garcia-Blas, J Carretero, IDC Petre.. Check for updates Malleable and Adaptive Ad-Hoc File System for Data Intensive Workloads in HPC Applications. International Conference on High Performance Computing. ISC 2023.
10. A Cascajo, A Arbe, J Garcia-Blas, J Carretero, DE Singh. Check for updates Malleable Techniques and Resource Scheduling to Improve Energy Efficiency in Parallel Applications. International Conference on High Performance Computing. ISC 2023.
11. F Garcia-Carballeira, D Camarmas-Alonso, A Caderon-Mateos, J Carretero..... A new Ad-Hoc parallel file system for HPC environments based on the Expand parallel file system. 22nd International Symposium on Parallel and Distributed Computing ???…. 2023.
12. L Visuña, J Garcia-Blas, J Carretero.. Novel Deep Learning-Based Technique for Tuberculosis Bacilli Detection in Sputum Microscopy. International Conference on Interactive Collaborative Robotics, 269-279. 2023.
13. A Cascajo, A Arbe, J Garcia-Blas, J Carretero, DE Singh.. Malleable Techniques and Resource Scheduling to Improve Energy Efficiency in Parallel Applications. International Conference on High Performance Computing, 16-27. 2023.
14. J Carretero, J Garcia-Blas, M Aldinucci, JB Besnard, JT Acquaviva, ..... Adaptive multi-tier intelligent data manager for Exascale. Proceedings of the 20th ACM International Conference on Computing Frontiers. Torino. Italy. 2023.
15. J Garcia-Blas, J Carretero. Exascale programing models for extreme data processing. Proceedings of the 20th ACM International Conference on Computing Frontiers. Torino. Italy. 2023.
16. CM Rendon, JL González-Compeán, DD Sánchez-Gallegos, J Carretero. Blockchain-based schemes for continuous verifiability and traceability of IoT data. 31zt Euromicro International Conference on Parallel, distributed, and Network based Processing. Napoles, Italia. (PDP 2023).
17. AC Martínez, ÁA Isabel, J Carretero, DE Singh. Fine-grained parallel social modelling for analyzing COVID-19 propagation. 31zt Euromicro International Conference on Parallel, distributed, and Network based Processing. Napoles, Italia. (PDP 2023).
2022
18. Javier Garcia-Blas, Javier Fernandez Munoz, Jesus Carretero, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Alberto Fernandez-Pena, Daniel Martín de Blas. (2022, November). Convergence of HPC and Big Data in extreme-scale data analysis through the DCEx programming model. In 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing. Bordeaux, France. (SBAC-PAD 2022).
19. Torres-Charles, C. A., Carrizales-Espinoza, D. E., Sanchez-Gallegos, D. D., Gonzalez-Compean, J. L., Morales-Sandoval, M., & Carretero, J. (2022, September). SecMesh: An efficient information security method for stream processing. In edge-fog-cloud. In Proceedings of the 2022 7th International Conference on Cloud Computing and Internet of Things (pp. 8-16). Okinawa, Japan. (CCIOT 2022).
20. E. Del-Pozo, F. García-Carballeira. (2022, September). Una propuesta para el uso de dispositivos móviles en SimGrid: Aplicación a las simulaciones de IoT. In Jornadas Sarteco 2022, XXXII Jornadas de Paralelismo y las VI Jornadas de Computación Empotrada y Reconfigurable. Alicante, Spain. (SARTECO 2022).
21. E. Del-Pozo, F. García-Carballeira. (2022, September). Simulación de modelos DEVS utilizando SimGrid. In Jornadas Sarteco 2022, XXXII Jornadas de Paralelismo y las VI Jornadas de Computación Empotrada y Reconfigurable. Alicante, Spain. (SARTECO 2022).
22. Javier Garcia-Blas, Pablo Brox, Manuel Desco, Monica Abella. (2022, May). Multi-bed stitching tool for 3D computed tomography accelerated by GPU devices. In proceedings of 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing. Taormina (Messina), Italy. (CCGrid 2022).
23. Carrizales-Espinoza, D., Sánchez-Gallegos, D. D., Gonzalez-Compean, J. L., Carretero, J., & Marcelin-Jimenez, R. (2022, March). SeRSS: a storage mesh architecture to build serverless reliable storage services. In 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (pp. 88-91). IEEE. Valladolid, Spain. (PDP 2022).
24. Elías Del-Pozo, Felix Garcia-Carballeira. (2022, March). A Proposal of Mobility Support for the SimGridToolkit: Application to IoT simulations. In PDP 2022, 30th Euromicro International Conference on Parallel, distributed, and Network based Processing. Valladolid, Spain. (PDP 2022).
25. G Sanchez-Gallegos, DD Sánchez-Gallegos, JL Gonzalez-Compean, J. Carretero..... On the building of self-adaptable systems to efficiently manage medical data. 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing. 2022.
26. JCM Garcia, JAB Lugo, JLG Compean, IL Arevalo, J Carretero, ..... Data and task orchestration defined by spatio-temporal variables for healthcare data science services. Proceedings of the 9th International Conference on Bioinformatics Research. 2022.
27. J Carretero, D Exposito, A Cascajo, R Montella.. Malleability Techniques for HPC Systems. International Conference on Parallel Processing and Applied Mathematics, 77-88. 2022.
28. A Cascajo, G Gomez-Lopez, J Escudero-Sahuquillo, PJ Garcia, DE Singh, J Carretero,..... Improving Congestion Control through Fine-Grain Monitoring of InfiniBand Networks. IEEE Symposium on High-Performance Interconnects (HOTI), 29-38. 2022.
29. A Cascajo, DE Singh, J Carretero. Detecting interference between applications and improving the scheduling using malleable application proxies. International Conference on High Performance Computing, 129-146. ISC 2022.
2021
30. Javier Garcia-Blas, David E Singh, Jesús Carretero. (2022, May). IMSS: In-Memory Storage System for Data Intensive Applications. In Proceedings of the International Conference on High Performance Computing. Hamburg, Germany. (ISC 2021).
31. Pablo Brox, Javier Garcia-Blas, David E Singh, Jesús Carretero. (2021, October). DICE: generic data abstraction for enhancing the convergence of HPC and big data. In Proceedings of Latin American High Performance Computing Conference. Guadalajara, México. (CARLA 2021).
32. Andres Bustos, Alberto Cascajo, Antonio Juan Rubio-Montero, Elena Garcia-Bustamante, José A. Moríñigo, David E. Singh, Jesus Carretero, Rafael Mayo-Garcia. (2021, October). Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor. In Latin America High Performance Computing Conference. Guadalajara, México. (CARLA 2021).
33. E. Del-Pozo , F. García-Carballeira. (2021, September). ENIGMA: simulador de plataformas Edgey Fog Computing. In Congreso Español de Informática. Málaga, Spain. (CEDI 2021).
34. Miguel Guzman-Merino, Christian Duran, Maria-Cristina Marinescu, Concepcion Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero, and David E. Singh. (2021, September). Data management in EpiGraph COVID-19 epidemic simulator. Workshop. In Euro-Par 2022, 27th International European Conference on Parallel and Distributed Computing. Lisbon, Portugal.(Euro-Par 2021).
35. Elías Del-Pozo, Felix Garcia-Carballeira. (2021, July). Fast Simulation of DEVS models using the SimGrid Framework. In 2021 Annual Modeling and Simulation Conference. Virtual Event. (ANNSIM 2021).
36. Cascajo-Garcia, D. E. Singh, and J. Carretero. (2021, May). “LIMITLESS – Planificación basada en monitorización,”. In Jornadas Sarteco 2021, las XXXI Jornadas de Paralelismo (JP20/21) y las V Jornadas de Computación Empotrada y Reconfigurable (JCER20/21). Málaga, Spain. (CEDI 2021).
37. Saul Alonso-Monsalve, Felix Garcia-Carballeira, Alejandro Calderón, José Rivadeneira. (2021, March). Analyzing the distributed training of deep-learning models via data locality. In PDP 2021, 29th Euromicro International Conference on Parallel, distributed, and Network based Processing. Valladolid, España. (PDP 2021).
38. Carrizales-Espinoza, D., Sánchez-Gallegos, D. D., Gonzalez-Compean, J. L., & Carretero, J. (2021, March). A federated content distribution system to build health data synchronization services. In PDP 2021, 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing. (pp. 1-8). IEEE. Valladolid, Spain. (PDP 2021).
39. Alberto Cascajo, David E. Singh and Jesús Carretero. (2021, March). LIMITLESS – LIght-weight MonItoring Tool for LargE Scale Systems. In PDP 2021, 29th Euromicro International Conference on Parallel, Distributed and Network -based Processing. Valladolid, Spain. (PDP 2021).
40. P Brox, J Garcia-Blas, DE Singh, J Carretero. DICE: generic data abstraction for enhancing the convergence of HPC and big data. Latin American High Performance Computing Conference, 106-119. 2021.
2020
41. Elías Del-Pozo, Felix Garcia-Carballeira. (2021, March). A generic simulator for Edge Computing platforms. In the 2016 International Conference on High Performance Computing & Simulation. Virtual Event. (HPCS 2020).
42. José Rivadeneira, Felix Garcia-Carballeira, Jesús Carretero and Javier Garcia-Blas. (2020, December). Exposing data locality in HPC-based systems by using the HDFS backend. In HiPC 2020, 27th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. Pune, India. (HiPC 2020).
43. García Blas, J., Brox, P., Carretero, J., Desco, M., Mónica, A. (2020, November). “Herramienta de pegado de múltiples camas para tomografía computarizada en 3D mediante dispositivos GPU”. In XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Virtual Event. ( CASEIB 2020).
44. Jesus Carretero, David Exposito Singh, Emmanuel Jeannot, Guillaume Pallez and Nicolas Vidal. (2020, July). Mapping and Scheduling HPC Applications for optimizing I/O. In International Conference on Supercomputing 2020. Barcelona, Spain. (ICS-2020).
45. E Serrano, JG Blas, J Carretero, M Abella.. Propuesta arquitectónica para la ejecución de tareas en Apache Spark para entornos heterogéneos. Actas Jornadas SARTECO 2016 218, 299. 2020.
2019
46. J Garcia-Blas, D del Rio Astorga, JD Garcia, J Carretero. Exploiting stream parallelism of MRI reconstruction using GrPPI over multiple back-ends. 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. 2019.
47. J Carretero, M Vasile-Cabezas, V Sosa. Adaptive Application Deployment of Priority Services in Virtual Environments. Internet and Distributed Computing Systems: 12th International Conference. 2019.
48. D Carrizales, DD Sánchez-Gallegos, H Reyes, JL González-Compeán, J Carretero..... A data preparation approach for cloud storage based on containerized parallel patterns. Internet and Distributed Computing Systems: 12th International Conference. 2019.
49. J Carretero Pérez, M Vasile Cabezas, VJ Sosa Sosa.. Adaptive application deployment of priority services in virtual environments. Internet and Distributed Computing Systems: 12th International Conference, Naples, Italy, October 10–12, 2019.
Organización de conferencias:
2024
1. Jesús Carretero Pérez, General chair. 30th International European Conference on Parallel and Distributed Computing. EUROPAR 2024. August 26-31. Madrid, Spain.
2. Jesús Carretero Pérez, Track chair. 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024) Philadelphia. USA. July 2024.
3. Javier Garcia-Blas, Track Chair, ICPP 2024 (the 53rd International Conference on Parallel Processing). Gotland, Sweden, August 12-15, 2024.
2023
4. Jesús Carretero Pérez. Bof leader: Enabling I/O and Computation Malleability in High-Performance Computing. .SC23. ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis. Denver, USA, November 12-18, 2023
5. Jesús Carretero Pérez, Track 3 chair: Architectures and Accelerators”, 29th International European Conference on Parallel and Distributed Computing. EUROPAR 2023. Cyprus. August 28, September 1, 2023.
6. Jesús Carretero Pérez, Symposium Organizer, EUROPAR 2023 Minisymposium on ADAPTIVE HPC I/O SYSTEMS – ADAPIO. Cyprus. August 28th, 2023.
7. Jesús Carretero Pérez, co-Chair, HPCMALL 2023: 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2023. Hamburg, Germany, May 21-25, 2023.
8. Jesús Carretero Pérez, Proceedings Co-chair, PDP 2023, 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March 1-3, 2023.
9. Jesús Carretero Pérez, Co-chair:Workshop on Big Data Convergence: from sensors to applications. PDP 2023, 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March 1-3, 2023.
10. Javier Garcia-Blas, Symposium Organizer, EUROPAR 2023 Minisymposium on ADAPTIVE HPC I/O SYSTEMS – ADAPIO. Cyprus. August 28th, 2023.
11. Javier Garcia-Blas, Proceedings Co-chairs, PDP 2023, 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March 1-3, 2023.
12. Felix García. 31th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP2023). ProgramCommittee. March, 1-3, 2023, Naples,Italy
13. Félix García. CLEI 2023 (XLVII Conferencia Latinoamericana en Informática). Program Committee (Computer Technology Track). October 16-10, 2023, La Paz, Bolivia
2022
14. Jesús Carretero Pérez, Track Chair: Applications track. SC22. ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis. Dallas, November, USA.
15. Jesús Carretero Pérez, co-Chair, HPCMALL 2022: 1st International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2022. Hamburg, Germany, June 2, 2022.
16. Jesús Carretero Pérez, co-Chair, CCGrid-Life 2022: Workshop on Clusters, Clouds and Grids for Life Sciences. Taormina, Italy, May 16-19, 2022.
17. Felix García. 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP2022). Program Committee. March, 9-11, 2022, Valladolid, España
2021
18. J. Daniel García, Program Co-Chair 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March, 10-12 2021. Online conference due to COVID.
19. J. Carretero. PC Member. Data Analytics, Visualization & Storage track. SC 21. The International Conference for High Performance Computing, Networking, Storage, and Analysis • Nov 14–19, 2021 • St. Louis, MO.
20. J. Carretero. PC member. IEEE 33rd International Symposium on Computer Architecture and High-Performance Computing
21.J. Carretero. PC member. FedCSIS 2021: 16th Conference on Computer Science and Information Systems. Sofia, Bulgaria, September 2-5, 2021.
22. Félix García. CLEI 2021 (XLVII Conferencia Latinoamericana en Informática). Program Committee (Simposio Latinoamericano de Infraestructura, Hardware y Software y Simposio Latinoamericano de Manejo de Datos e Información. 25 al 29 de octubre de 2021, Costa Rica
23. Jesús Carretero Pérez, Track chair, Conferencia Latinoamericana de Informática (CLEI 2021). (Simposio Latinoamericano de Infraestructura, Hardware y Software). San José, Costa Rica del 25 al 29 de octubre de 2021
24. Félix García. The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCCgrid 2021). Program Committee. Distributed Systems track. 10-13 Mayo 2021, Melbourne, Victoria, Australia
25. Felix García. 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP2021). Program Committee. Distributed Systems track. 10-12 Marzo 2021, Valladolid, España
2020
26. Félix García. The International Conference on High Performance Computing & Simulation (HPCS 2020). Program Committee. 22 - 27 March 2021, Barcelona, España
27. Jesús Carretero Pérez, track chair (Networking and Distributed Systems), SBAC-PAD 2020: IEEE 33rd International Symposium on Computer Architecture and High Performance Computing. Virtual.
2019
28. Jesús Carretero Pérez. Track chair. 12th IEEE/ACM International Conference on Utility and Cloud Computing (ucc-cloud-challenge-2019). Oakland. New Zealand. December 2-5, 2019.
29. Jesús Carretero Pérez, co-Chair, CCGrid-Life 2019: Workshop on Clusters, Clouds and Grids for Life Sciences In conjunction with CCGrid 2019 - 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 14–17, 2019, Larnaca, Cyprus.
Conference PC MEMBER:
2023
1. Jesús Carretero Pérez, PC Member, 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023). Taormina (Messina), Italy. December 4-7, 2023.
2. Jesús Carretero Pérez. PC Member.IEEE International Conference on Cluster Computing. IEEE Cluster 2023. Santa Fé, EEUU. 31 October- November 3. 2023.
3. Jesús Carretero Pérez, PC Member. Conferencia Latinoamericana de Informática 2023. La Paz, Bolivia, del 16 al 20 de octubre de 2023
4. David E. Singh, PC Member, SC23: Supercomputing 2023. The International Conference for High Performance Computing, Networking, Storage, and Analysis. Denver. 2023.
5. David E. Singh PC Member, EUROPAR 2023 Minisymposium on ADAPTIVE HPC I/O SYSTEMS – ADAPIO. Cyprus. August 28th, 2023.
6. David E. Singh, PC Member, EuroMPI'23: 30th European MPI Users' Group Meeting)
7. David E. Singh, PC Member, HPCMALL 2023: 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2023. Hamburg, Germany, May 21-25, 2023.
8. David E. Singh, PC Member, PDP 2023, 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March 1-3, 2023.
9. Javier Garcia-Blas, PC Member, 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023). Taormina (Messina), Italy. December 4-7, 2023.
10. Javier Garcia-Blas, PC Member, CloudTech'23 (The 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications). Marrakesh - Morocco. November 21-23, 2023.
11. Javier Garcia-Blas, PC Member, Jornadas Sarteco 2023. September 20-22, 2023.
12. Javier Garcia-Blas, PC Member, HPCMALL 2023: 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2023. Hamburg, Germany, May 21-25, 2023.
13. Javier Garcia-Blas, PC Member, HPC-IODC'23: HPC I/O in the Data Center Workshop ISC HPC Hamburg, Germany, May 26, 2023.
14. Javier Garcia-Blas, PC Member, PDP 2023, 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing. March 1-3, 2023.
2022
15. Jesús Carretero Pérez, PC Member, PPAM 2022: 14th International Conference on Parallel Processing and Applied Mathematics, Gdansk, Poland, September 11-14, 2022.
16. Jesús Carretero Pérez, PC Member, SBAC-PAD 2022: 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing, Bordeaux, France, November 2-5, 2022.
17. Jesús Carretero Pérez, PC Member, IEEE Cluster 2022. Heidelberg, Germany. September 6-9, 2022.
18. Jesús Carretero Pérez, PC Member, PDP 2022 (30th Euromicro International Conference on Parallel, Distributed and Network-based Processing). Valladolid, Spain. March 9-11, 2022.
19. CCGrid 2022 PC member (Storage and I/O Systems)
20. David E. Singh, PC Member, PDP 2022 (30th Euromicro International Conference on Parallel, Distributed and Network-based Processing). Valladolid, Spain. March 9-11, 2022.
21. David E. Singh, PC Member, HPCMALL 2022: 1st International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2023. Hamburg, Germany, June 2, 2022.
22. Javier Garcia-Blas, PC Member, PPAM 2022: 14th International Conference on Parallel Processing and Applied Mathematics, Gdansk, Poland, September 11-14, 2022.
23. Javier Garcia-Blas, PC Member, SBAC-PAD 2022: 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing, Bordeaux, France, November 2-5, 2022.
24. Javier Garcia-Blas, PC Member, IEEE Cluster 2022. Heidelberg, Germany. September 6-9, 2022.
25. Javier Garcia-Blas, PC Member, Cloud2Things 2022 (The 2nd ACM/IEEE International workshop on Cloud-to-Things continuum: towards the convergence of IoT, Edge and Cloud Computing), Taormina, Messina Italy. May 16 - 19, 2022.
26. Javier Garcia-Blas, PC Member, HPCMALL 2022: 1st International Workshop on Malleability Techniques Applications in High-Performance Computing ISC 2023. Hamburg, Germany, June 2, 2022.
27. Javier Garcia-Blas, PC Member, CCGrid-Life 2022: Workshop on Clusters, Clouds and Grids for Life Sciences. Taormina, Italy, May 16-19, 2022.
28. Javier Garcia-Blas, PC Member, IDC 2022: Intelligent Distributed Computing. Bremen, Germany, September 14-16, 2022.
29. Javier Garcia-Blas, PC Member, HPC-IODC'22: HPC I/O in the Data Center Workshop ISC HPC. Hamburg, Germany, June 2, 2022.
30. Javier Garcia-Blas, PC Member, PDP 2022 (30th Euromicro International Conference on Parallel, Distributed and Network-based Processing). Valladolid, Spain. March 9-11, 2022.
31. Javier Garcia-Blas, PC Member, CCGrid 2022 (The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing). Taormina (Messina), Italy. 16-19 May 2022.
2021
32. Jesús Carretero Pérez, PC member. 21st IEEE/ACM international Symposium on Cluster, Cloud and. Internet Computing (CCGrid 2021), Melbourne, Australia.
33. Jesús Carretero Pérez, PC Member, PDP 2021: 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing. Virtual on-line event. Valladolid, Spain, March 10-12, 2021.
34. Jesús Carretero Pérez, PC Member, FedCSIS 2021 FedCSIS 2021: 16th Conference on Computer Science and Information Systems Sofia, Bulgaria, September 2-5, 2021
35. Jesús Carretero Pérez, PC Member, XIV International Symposium on Intelligent and Distributed Computing, IDC 2021, Virtual. 16-18 September
36. Jesús Carretero Pérez, PC Member, SBAC-PAD 2021: 2021 IEEE 33th International Symposium on Computer Architecture and High Performance Computing
37. David E. Singh, PC Member, EUROPAR 2021: 27th International European Conference on Parallel and Distributed Computing (Euro-Par2021). Instituto Superior Técnico - Universidade de Lisboa, Lisboa, Portugal, August 30-September 3, 2021.
38. David E. Singh, PC Member, PDP 2021: 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing. Virtual on-line event. Valladolid, Spain, March 10-12, 2021.
39. Javier Garcia-Blas, PC Member, SBAC-PAD 2021: IEEE 33rd International Symposium on Computer Architecture and High Performance Computing Remote. Belo Horizonte, Brazil, October 26-29, 2021.
40. Javier Garcia-Blas, PC Member, IDC 2021 (14th International Symposium on Intelligent Distributed Computing). Online. September 16 - 18, 2021.
41. Javier Garcia-Blas, PC Member, EuroMPI'21 (EuroMPI '21: 28th European MPI Users' Group Meeting)
42. Javier Garcia-Blas, PC Member, , Euro-Par'2021: 27th International European Conference on Parallel and Distributed Computing (Euro-Par'2021). Instituto Superior Técnico - Universidade de Lisboa, Lisboa, Portugal, August 30-September 3, 2021.
43. Javier Garcia-Blas, PC Member, HPC-IODC'21: HPC I/O in the Data Center Workshop ISC HPC Hamburg, Germany, May 26, 2021.
44. Javier Garcia-Blas, PC Member, PDP 2021: 29th Euromicro International Conference on Parallel, Distributed and Network-based Processing. Virtual on-line event. Valladolid, Spain, March 10-12, 2021.
2020
45. Jesus Carretero Pérez, PC Member, EuroMPI/USA'20 (EuroMPI '20: 19th European/USA MPI Users' Group Meeting)
46. Jesús Carretero Pérez, PC member, Euro-Par'2020: 26th International European Conference on Parallel and Distributed Computing (Euro-Par'2020). August, 2020.
2019
47. Jesús Carretero Pérez, PC member. IDCS2019: The 12th International Conference on Internet and Distributed Computing Systems University of Naples Parthenope, Naples, Italy, October 10-12, 2019
48. Jesús Carretero Pérez, PC member, Euro-Par'2019: 25th International European Conference on Parallel and Distributed Computing (Euro-Par'2019), Lisbon, August, 2019.
49. Jesús Carretero Pérez, PC member, Workshop WORKS'19. Held in SC19 Conference.
Tesis:
- Autor: Alberto Cascajo. Directores: Jesús Carretero Pérez y David Expósito Singh. Título: New cross-layer techniques for multi-criteria scheduling in large-scale systems. Calificación: Sobresaliente Cum-Laude. Organismo: Universidad Carlos III de Madrid. Diciembre de 2021.
- Autor: Saúl Alonso Monsalve. Directores: Félix García Carballeira y Leigh Howard Whitehead. Título: Novel usage of deep learning and high-performance computing in long-baseline neutrino oscillation experiments. Calificación: Sobresaliente Cum-Laude. Premio Extraordinario de doctorado. Premio Enrique Fuentes Quintana, de Funcas a la mejor tesis doctoral a nivel nacional en la categoría de Ingeniería, Matemáticas, Física y Arquitectura. 2021. Premios de Investigación Sociedad Científica Informática de España (SCIE) – Fundación BBVA 2022, a Jóvenes investigadores. Accésit Ciencias Básicas, Premios Margarita Salas de Investigación 2022. Organismo: Universidad Carlos III de Madrid. Febrero de 2021.
- Autor: Javier López Gómez. Directores: José Daniel García y Javier Fernández Muñoz. Título: Balancing performance and reliability in software components. Organismo: Universidad Carlos III de Madrid. Octubre de 2020.
- Autor: Plácido Fernández Declara. Directores: José Daniel García y Niko Neufeld. Título: Particle tracking and identification on multi- and many-core hardware platforms. Organismo: Universidad Carlos III de Madrid. Septiembre de 2020.
Tesis en proceso:
- Autor: Elías del Pozo Puñal. Director: Félix García Carballeira. Título: Técnicas de gestión de datos en sistemas High-End y Edge Computing. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Diego Camarmas Alonso. Directores: Jesus Carretero Perez y Felix Garcia Carballeira. Título: Gestión dinámica de datos en sistemas distribuidos de gran escala. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Genaro Juan Sánchez Gallegos. Director: Jesús Carretero Pérez. Título: Técnicas de maleabilidad para sistemas de ficheros ad-hoc. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Catherine Alessandra Torres Charles. Directores: Jesús Carretero Pérez (Universidad Carlos III de Madrid) y José Luis Gonzalez Compeán (Cinvestav unidad Tamaulipas). Título: Esquemas de procesamiento continuo en entornos Edge, Fog y Cloud. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Dante Domizzi Sanchez Gallegos. Director: Jesus Carretero Perez. Título: New techniques to manage and build infrastructure-agnostic processing structures to manage digital products life cycle for edge-fog-cloud. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Lara Visuña Perez. Directores: Jesús Carretero Pérez y Francisco Javier García Blas. Título: Técnicas computacionales para la clasificación de enfermedades usando imagen médica. Organismo: Universidad Carlos III de Madrid. En proceso.
- Autor: Njoud Omar Khalaf. Directores: Jesus Carretero Perez y David Exposito Singh. Título: New techniques for multi-level adaptive intelligent data management. Organismo: Universidad Carlos III de Madrid. En proceso.