Publications

This page reports the updated list of my scientific publications. Most of the pdf files are preprint versions and they may be different from the published versions present online. My H-index is equal to 13 for Scopus and 16 for Google Scholar.

Journal Papers

2021

30. A. Vogel, G. Mencagli, D. Griebler, M. Danelutto, and L. G. Fernandes. Online and transparent self-adaptation of stream parallel patterns. Computing, 2021, Springer. ISSN: 0010-485X, DOI: https://doi.org/10.1007/s00607-021-00998-8. Preprint 

29. J. Löff, D. Griebler, G. Mencagli, G. Araujo, M. Torquati, M. Danelutto, and L. G. Fernandes. The NAS Parallel Benchmarks for Evaluating C++ Parallel Programming Frameworks on Shared-Memory Architectures. Future Generation Computing Systems, 2021, Elsevier. ISSN: 0167-739X, DOI:/10.1016/j.future.2021.07.021. Preprint 

28. G. Mencagli, M. Torquati, A. Cardaci, A. Fais, L. Rinaldi, and M. Danelutto. WindFlow: High-Speed Continuous Stream Processing with Parallel Building Blocks. IEEE Transactions on Parallel and Distributed Systems, 2021, IEEE. ISSN: 1045-9219, DOI: 10.1109/TPDS.2017.2679197. Preprint 

2020

27. M. V. Bordin, D. Griebler, G. Mencagli, Claudio F. R. Geyer, Luiz G. L. Fernandes. DSPBench: a Suite of Benchmark Applications for Distributed Data Stream Processing Systems. IEEE Access, 2020, IEEE. ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.3043948. Link 

26. M. Danelutto, G. Mencagli, M. Torquati, H. G.-Vélez, P. Kilpatrick. Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming. International Journal of Parallel Programming, 2020, Springer. ISSN: 0885-7458, DOI: 10.1007/s10766-020-00684-w. Link 

25. L. Rinaldi, M. Torquati, D. De Sensi, G. Mencagli and M. Danelutto. Improving the Performance of Actors on Multi-cores with Parallel Patterns. International Journal of Parallel Programming, 2020, Springer. ISSN: 0885-7458, DOI: 10.1007/s10766-020-00663-1. Link 

24. C. M. Stein, D. A. Rockenbach, D. Griebler, M. Torquati, G. Mencagli, M. Danelutto, L. G. Fernandes. Latency‐aware adaptive micro‐batching techniques for streamed data compression on graphics processing units. Concurrency and Computation, 2020, John Wiley & Sons. ISSN: 1532-0634, DOI: 10.1002/cpe.5786. Preprint 

2019

23. G. Mencagli, M. Torquati, D. Griebler, M. Danelutto and L. G. Fernandes. Raising the Parallel Abstraction Level for Streaming Analytics Applications. IEEE Access, 2019, IEEE. ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2941183. Link 

22. T. De Matteis, G. Mencagli, D. De Sensi, M. Torquati and M. DaneluttoGASSER: an Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access, 2019, IEEE. ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2910312. Link 

21. J. D. Garcia, D. del Rio, M. Aldinucci,  F. Tordini,  M. Danelutto, G. Mencagli and M. Torquati. Challenging the Abstraction Penalty in Parallel Patterns Libraries. Journal of Supercomputing, 2019, Springer. ISSN: 1573-0484, DOI: https://doi.org/10.1007/s11227-019-02826-5. Link 

20. M. Torquati, D. De Sensi, G. Mencagli, M. Danelutto and M. Aldinucci. Power-Aware Pipelining with Automatic Concurrency ControlConcurrency and Computation2019, John Wiley & Sons. ISSN: 1532-0634, DOI: https://doi.org/10.1002/cpe.4652. Preprint 

19. Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe Maia Galvão França, Cristiana Barbosa Bentes, Gabriele Mencagli, Tiago Assumpção de Oliveira Alves, Alexandre da Costa Sena, Leandro Augusto Justen Marzulo. A Dataflow Runtime Environment and Static Scheduler for Edge, Fog and In-Situ Computing. International Journal of Grid and Utility Computing, 2019, Inderscience. ISSN: 1741-847X, DOI: 0.1504/IJGUC.2019.099685. Preprint 

2018

18. G. Mencagli, M. Torquati and M. Danelutto. Elastic-PPQ: a Two-level Autonomic System for Spatial Preference Query Processing over Dynamic Data StreamsFuture Generation Computer Systems2018, Elsevier. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2017.09.004. Preprint 

17. G. Mencagli, M. Vanneschi and S. Lametti. The Home-Forwarding Mechanism to Reduce the Cache Coherence Overhead in Next-Generation CMPs. Future Generation Computer Systems, 2018, Elsevier. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2017.01.009. Preprint 

16. G. Mencagli, M. Torquati, F. Lucattini, S. Cuomo and M. Aldinucci. Harnessing Sliding-Window Execution Semantics for Parallel Stream Processing. Journal of Parallel and Distributed Computing, 2018, Elsevier. ISSN: 0743-7315, DOI: https://doi.org/10.1016/j.jpdc.2017.10.021. Preprint 

15. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. Data Stream Processing via Code Annotations. Journal of Supercomputing, 2018, Springer.  ISSN: 0920-8542, DOI: 10.1007/s11227-016-1793-9. Preprint 

14. M. Denelutto, P. Kilpatrick, G. Mencagli and M. Torquati. State Access Patterns in Stream Parallel Computations. International Journal of High Performance Computing Applications, 2018, Sage Publications. ISSN: 1094-3420, DOI: 10.1177/1094342017694134. Preprint 

2017

13. M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli, M. Torquati, M. Aldinucci and P. Kilpatrick. The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. International Journal of Parallel Programming, 2017, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-017-0540-z. Preprint 

12. M. Torquati, G. Mencagli, M. Drocco, M. Aldinucci, T. De Matteis and M. Danelutto. On Dynamic Memory Allocation in Sliding-Window Parallel Patterns for Streaming Analytics. Journal of Supercomputing, 2017, Springer. ISSN: 0920-8542, DOI: 10.1007/s11227-017-2152-1. Preprint 

11. D. De Sensi, T. De Matteis, M. Torquati, G. Mencagli and M. Danelutto. Bringing Parallel Patterns out of the Corner: the P3ARSEC Benchmark Suite. ACM Transactions on Architecture and Code Optimization, 2017, ACM. ISSN: 1544-3566, DOI: https://doi.org/10.1145/3132710. Preprint 

10. G. Mencagli, M. Torquati, M. Danelutto and T. De Matteis. Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Transactions on Parallel and Distributed Systems, 2017, IEEE. ISSN: 1045-9219, DOI: 10.1109/TPDS.2017.2679197. Preprint 

9. T. De Matteis and G. MencagliProactive Elasticity and Energy Awareness in Data Stream Processing. Journal of Systems and Software, 2017, Elsevier.  ISSN: 0164-1212, DOI: 10.1016/j.jss.2016.08.037. Preprint 

8. T. De Matteis and G. MencagliParallel Patterns for Window-based Stateful Operators on Data Streams: an Algorithmic Skeleton ApproachInternational Journal of Parallel Programming, 2017, Springer. ISSN: 0885-7458, DOI: 10.1007/s10766-016-0413-x. Preprint 

2016

7. G. MencagliA Game-Theoretic Approach for Elastic Distributed Data Stream Processing. ACM Transactions on Autonomous and Adaptive Systems, 2016, ACM. ISSN: 1556-4703, DOI: 10.1145/2903146Preprint 

6. T. De Matteis, S. Di Girolamo and G. MencagliContinuous Skyline Queries on Multicore Architectures. Concurrency and Computation, 2016, John Wiley & Sons. ISSN: 1532-0634, DOI: 10.1002/cpe.3866. Preprint 

5. G. MencagliAdaptive Model Predictive Control of Autonomic Distributed Parallel Computations with Variable Horizons and Switching Costs. Concurrency and Computation, 2016, John Wiley & Sons. ISSN: 1532-0634, DOI: 10.1002/cpe.3495. Preprint 

2014

4. G. Mencagli, E. Vespa, M. Vanneschi. A Cooperative Predictive Control Approach to improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications. ACM Transactions on Autonomous and Adaptive Systems, 2014, ACM. ISSN: 1556-4703, DOI: 10.1145/2567929. Preprint 

3. D. Buono, G. Mencagli, A. Pascucci and M. Vanneschi. Performance Analysis and Structured Parallelisation of the Space–time Adaptive Processing Computational Kernel on Multi-core Architectures. International Journal of Parallel, Emergent and Distributed Systems, 2014, Taylor and Francis. ISSN: 1744-5760, DOI: DOI:10.1080/17445760.2014.885967. Preprint 

2. G. Mencagli and M. Vanneschi. Towards a Systematic Approach to the Dynamic Adaptation of Structured Parallel Computations using Model Predictive ControlCluster Computing, 2014, Springer. ISSN1386-7857, DOI: 10.1007/s10586-014-0346-3. Preprint 

2009

1. C. Bertolli, R. Fantacci, G. Mencagli, D. Tarchi and M. Vanneschi. Next Generation Grids and Wireless Communication Networks: Towards a Novel Integrated Approach. Wireless Communications and Mobile Computing, 2009, John Wiley & Sons. ISSN: 1530-8669, DOI: http://dx.doi.org/10.1002/wcm.v9:4. PDF 

Conference and Workshop Papers

2021

35. E. Carlini, L. Carnevale, M. Coppola, P. Dazzi, G. Mencagli, D. Talia, and M. Villari. 2020. An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. In proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge (Frame 2021), co-located with HPDC 2021, Stockholm, Sweden, 2021. ISBN: 978-145038384-4, DOI: 10.1145/3452369.3463822. Preprint 

2020

34. A. Vogel, G. Mencagli, D. Griebler, M. Denelutto, L. G. Fernandes. Towards On-the-fly Self-Adaptation of Stream Parallel PatternsIn proceedings of the 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Valladolid, Italy, 2021. ISBN: 978-1-6654-1455-5, DOI: 10.1109/PDP52278.2021.00022. Preprint 

33. L. Rinaldi, M. Torquati, G. Mencagli and M. Danelutto. High-Throughput Stream Processing with Actors. In proceedings of the 10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control (AGERE 2020), co-located with SPLASH 2020, Chicago, USA, 2020. ISBN: 978-145038185-7, DOI: https://doi.org/10.1145/3427760.3428338. Preprint 

2019

32. A. Vogel, C. Rista, E. Ewald, G. Justo, D. Griebler, G. Mencagli, L. G. Fernandes. Parallel Stream Processing with MPI for Video Analytics and Data VisualizationIn proceedings of the 19th Symposium on High Performance Computing Systems (WSCAD 2019), San Paolo, Brazil. ISBN: 978-3-030-410, DOI: 10.1007/978-3-030-41050-6_7. Preprint 

31. D. A. Rockenbach, C. M. Stein, D. Griebler, G. Mencagli, M. Torquati, M. Danelutto and L. G. Fernandes. Stream Processing on Multi-Cores with GPUs: Parallel Programming Models’ Challenges. In proceedings of the 8th Workshop on Parallel Programming Models - Special Edition on IoT and Machine Learning (MPP), co-located with IPDPS 2019, Rio de Janeiro, Brazil, 2019. ISBN: 978-1-7281-3510-6, DOI: 10.1109/IPDPSW.2019.00137. Preprint 

30. M. Danelutto, D. De Sensi, G. Mencagli and M. Torquati. Autonomic Management Experiences in Structured Parallel Programming.   In proceedings of the 2019 International Conference on High Performance Computing and Simulation (HPCS), Dublin, Ireland. ISBN: 978-172814484-9, DOI: 10.1109/HPCS48598.2019.9188228. Preprint 

29. L. Rinaldi, M. Torquati, G. Mencagli, M. Danelutto and T. Menga. Accelerating Actor-based Applications with Parallel PatternsIn proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Pavia, Italy, 2019. ISBN: 978-1-7281-1644-0, DOI: 10.1109/EMPDP.2019.8671602. Preprint 

2018

28. G. Mencagli, P. Dazzi and N. Tonci. SpinStreams: a Static Optimization Tool for Data Stream Processing Applications. In proceedings of the 2018 ACM/IFIP/USENIX Middleware Conference, Rennes, France, 2018. ISBN: 978-1-4503-5702-9, DOI: 10.1145/3274808.3274814Preprint 

27. D. Griebler, J. Loff, G. Mencagli, M. Danelutto and L. G. FernandesEfficient NAS Benchmark Kernels with C++ Parallel Programming. In proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Cambridge, United Kingdom, 2018. ISBN: 978-1-5386-4975-6, DOI: 10.1109/PDP2018.2018.00120. Preprint 

26. M. Torquati, T. Menga, T. De Matteis, D. De Sensi and G. MencagliReducing Message Latency and CPU Utilization in the CAF Actor Framework. In proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Cambridge, United Kingdom, 2018. ISBN: 978-1-5386-4975-6, DOI: 10.1109/PDP2018.2018.00028Preprint 

2017

25. A. Brogi, G. Mencagli, D. Neri, J. Soldani and M. Torquati. Container-based Support for Autonomic Data Stream Processing through the Fog. In proceedings of the 1st International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP),  co-located with Euro-Par 2017, Santiago de Compostela, Spain, 2017. ISBN: 978-3-319-75177-1, DOI: 10.1007/978-3-319-75178-8_2Preprint 

24. M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli and M. Torquati. P3ARSEC: Towards Parallel Patterns Benchmarking. In proceedings of the 32nd ACM SIGAPP Symposium on Applied Computing (SAC)Marrakesh, Morocco, 2017. ISBN: 978-145034486-9, DOI: 10.1145/3019612.3019745Preprint 

23. T. De Matteis and G. MencagliElastic Scaling for Distributed Latency-sensitive Data Stream Operators. In proceedings of the 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Saint-Petersburg, Russia, 2017. ISBN: 978-150906058-0, DOI: 10.1109/PDP.2017.31Preprint 

2016

22. T. De Matteis, M. Danelutto, G. Mencagli and M. Torquati. A Divide-and-Conquer Parallel Pattern Implementation for Multicores. In Proceedings of the third International Workshop on Software Engineering for Parallel Systems (SEPS), co-located with SPLASH 2016, Amsterdam, Netherlands, 2016. ISBN: 978-145034641-2, DOI: 10.1145/3002125.3002128Preprint 

21. M. Danelutto, G. Mencagli and M. Torquati. Efficient Dynamic Memory Allocation in Data Stream Processing Programs. In Proceedings of the second IEEE International Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms (REPARA), co-located with ScalCom 2016, Toulouse, France, 2016. ISBN: 978-150902770-5, DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0181. Preprint 

20. T. De Matteis and G. MencagliKeep Calm and React with Foresight: Strategies for Low-Latency and Energy-Efficient Elastic Data Stream Processing. In Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Barcelona, Spain, 2016. (19% acceptance rate). ISBN: 978-145034092-2, DOI: 10.1145/2851141.2851148The paper passed the artifact evaluation phase  Preprint 

2015

19. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. Parallelizing High-Frequency Trading Applications by using C++11 Attributes. In Proceedings of the first IEEE International Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms (REPARA), co-located with ISPA 2015, Helsinki, Finland, 2015. ISBN: 978-146737951-9, DOI: 10.1109/Trustcom.2015.623. Preprint 

18. T. De Matteis, S. Di Girolamo and G. MencagliA Multicore Parallelization of Continuous Skyline Queries on Data Streams. In proceedings of the 2015 International Conference on Parallel Processing (Euro-Par), Vienna, Austria, 2015. ISBN: 978-366248095-3, DOI: 10.1007/978-3-662-48096-0_31. Distinguished Paper  Preprint 

2014

17. D. Buono, T. De Matteis and G. MencagliA High-Throughput and Low-Latency Parallelization of Window-based Stream Joins on Multicores. In proceedings of the 12th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Milan, Italy, 2014. ISBN: 978-147994293-0, DOI: 10.1109/ISPA.2014.24. Preprint 

16. D. Buono and G. MencagliRun-time Mechanisms for Fine-Grained Parallelism on Network Processors: the TILEPro64 Experience. In proceedings of the 2014 International Conference on High Performance Computing and Simulation (HPCS), Bologna, Italy, 2014. ISBN: 978-147995312-7, DOI: 10.1109/HPCSim.2014.6903669. Preprint 

15. D. Buono, M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. A Lightweight Run-Time Support for Fast Dense Linear Algebra on Multi-Core. In proceedings of the 12th IASTED International Conference on Parallel Distributed Computing and Networks (PDCN), Innsbruck, Austria, 2014. ISBN: 978-0-88986-965-3, DOI: 10.2316/P.2014.811-029Preprint 

14. D. Buono, T. De Matteis, G. Mencagli and M. Vanneschi. Optimizing Message-Passing on Multicore Architectures using Hardware Multi-Threading. In proceedings of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Turin, Italy, 2014. ISBN: 978-147992728-9, DOI: 10.1109/PDP.2014.63. Preprint 

2013

13. G. Mencagli, M. Vanneschi and E. Vespa. Reconfiguration Stability of Adaptive Distributed Parallel Applications through a Cooperative Predictive Control Approach. In proceedings of the 2013 International Conference on Parallel Processing (Euro-Par), Aachen, Germany, 2013. ISBN: 978-364240046-9, DOI: 10.1007/978-3-642-40047-6_34. Preprint 

12. G. Mencagli, M. Vanneschi and E. Vespa. Control-theoretic Adaptation Strategies for Autonomic Reconfigurable Parallel Applications on Cloud Environments. In proceedings of the 2013 International Conference on High Performance Computing and Simulation (HPCS), Helsinki, Finland, 2013. ISBN:  978-147990836-3, DOI: 10.1109/HPCSim.2013.6641387. Outstanding Best Paper Award  Preprint 

11. G. Mencagli and M. Vanneschi. Analysis of Control-theoretic Predictive Strategies for the Adaptation of Distributed Parallel Computations. In Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds (ORMaCloud), co-located with HPDC 2013, New York City, USA, 2013. ISBN: 978-1-4503-1982-9, DOI: 10.1145/2465823.2465827Preprint 

10. T. De Matteis, F. Luporini, G. Mencagli and M. Vanneschi. Evaluation of Architectural Supports for Fine-Grained Synchronization Mechanisms. In proceedings of the 11th IASTED International Conference on Parallel Distributed Computing and Networks (PDCN), Innsbruck, Austria, 2013. ISBN: 978-088986943-1, DOI: 0.2316/P.2013.795-023. Preprint 

2011

9. C. Bertolli, G. Mencagli and M. Vanneschi. Consistent Rollback Protocols for Autonomic ASSISTANT Applications. In proceedings of the CoreGRID/ERCIM Workshop on Grid, Clouds and P2P Computing (CGWS), co-located with Euro-Par 2011, Bordeaux, France, 2011. ISBN: 978-364229736-6, DOI: 10.1007/978-3-642-29737-3-17PDF 

8. G. Mencagli and M. Vanneschi. QoS-control of Structured Parallel Computations: a Predictive Control Approach. In proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Athens, Greece, 2011. ISBN: 978-076954622-3, DOI: 10.1109/CloudCom.2011.47. PDF 

7. C. Bertolli, G. Mencagli and M. Vanneschi. Consistent Reconfiguration Protocols for Adaptive High-Performance Applications. In proceedings of the 7th International Wireless Communications and Mobile Computing Conference (IWCMC), Istanbul, Turkey, 2011. ISBN:  978-142449539-9, DOI: 10.1109/IWCMC.2011.5982862. PDF 

2010

6. C. Bertolli, G. Mencagli and M. Vanneschi. A Cost Model for Autonomic Reconfigurations in High-Performance Pervasive Applications. In proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems (Casemans), co-located with UbiComp 2010, Copenhagen, Denmark, 2010. ISBN: 978-145030213-5, DOI: 10.1145/1858367.1858370PDF 

5. C. Bertolli, D. Buono, G. Mencagli, M. Mordacchini, F. M. Nardini, M. Torquati and M. Vanneschi. Resource Discovery Support for Time-critical Adaptive Applications. In proceedings of the 6th International Wireless Communications and Mobile Computing Conference (IWCMC), Caen, France, 2010. ISBN: 978-145030062-9, DOI: 10.1145/1815396.1815513PDF 

4. C. Bertolli, G. Mencagli and M. Vanneschi. Analyzing Memory Requirements for Pervasive Grid Applications. In proceedings of the 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Pisa, Italy, 2010. ISBN: 978-076953939-3, DOI: 10.1109/PDP.2010.71. PDF 

3. C. Bertolli, D. Buono, G. Mencagli and M. Vanneschi. Expressing Adaptivity and Context Awareness in the ASSISTANT Programming Model. In proceedings of the third International Conference on Autonomic Computing and Communication Systems (Autonomics), Limassol, Cyprus, 2010. ISBN: 978-364211481-6, DOI: 10.1007/978-3-642-11482-3_3. Preprint 

2009

2. C. Bertolli, G. Mencagli and M. Vanneschi. Adaptivity in Risk and Emergency Management Applications on Pervasive Grids. In proceedings of the 10th International Symposium on Pervasive Systems, Algorithms and Networks (ISPAN), Kaoshiung, Taiwan, 2009. ISBN: 978-076953908-9, DOI: 10.1109/I-SPAN.2009.92PDF 

1. C. Bertolli, D. Buono, S. Lametti, G. Mencagli, M. Meneghin, A. Pascucci and M. Vanneschi. A Programming Model for High-Performance Adaptive Applications on Pervasive Mobile Grids. In proceedings of the 21st IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), Cambridge, USA, 2009. ISBN: 978-088986811-3PDF 

Chapters in Handbooks

2012

3.  G. Mencagli and M. Vanneschi. Developing Real-time Emergency Management Applications: Methodology for a novel Programming Model Approach. Emergency Management, 2012, InTech. ISBN: 978-953-307-989-9, DOI: 10.5772/35243.

2. C. Bertolli, G. Mencagli and M. Vanneschi. High-Performance Pervasive Computing. Pervasive Computing, series of Computer Science, Technology and Applications, 2012, Nova Science Publisher. ISBN: 978-161122057-5.

2011

1. C. Bertolli, D. Buono, G. Mencagli and M. Vanneschi. An approach to Mobile Grid platforms for the development and support of Complex Ubiquitous ApplicationsHandbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts, 2011, IGI Global. ISBN: 978-160960042-6, DOI: 10.4018/978-1-60960-042-6.ch039.

Books



Adaptiveness in Structured Parallel Computations: a Control-theoretic Methodology

Author: Gabriele Mencagli

Publisher: Lambert Academic Publishing

Year: 2012

ISBN: 978-3-659-29552-2

© Gabriele Mencagli