| Augmenting computing capabilities at the edge by jointly exploiting mobile devices: A survey M Hirsch, C Mateos, A Zunino Future Generation Computer Systems 88, 644-662, 2018 | 47 | 2018 |
| A two-phase energy-aware scheduling approach for cpu-intensive jobs in mobile grids M Hirsch, JM Rodriguez, C Mateos, A Zunino Journal of Grid Computing 15, 55-80, 2017 | 41 | 2017 |
| Battery-aware centralized schedulers for cpu-bound jobs in mobile grids M Hirsch, JM Rodriguez, A Zunino, C Mateos Pervasive and Mobile Computing 29, 73-94, 2016 | 36 | 2016 |
| DewSim: A trace‐driven toolkit for simulating mobile device clusters in Dew computing environments M Hirsch, C Mateos, JM Rodriguez, A Zunino Software: Practice and Experience 50 (5), 688-718, 2020 | 28 | 2020 |
| A task execution scheme for dew computing with state-of-the-art smartphones M Hirsch, C Mateos, A Zunino, TA Majchrzak, TM Grønli, H Kaindl Electronics 10 (16), 2006, 2021 | 21 | 2021 |
| Evaluating the performance of three popular Web mapping libraries: A case study using Argentina’s life quality index A Zunino, G Velázquez, JP Celemín, C Mateos, M Hirsch, JM Rodriguez ISPRS International Journal of Geo-Information 9 (10), 563, 2020 | 16 | 2020 |
| Towards integrating mobile devices into dew computing: a model for hour-wise prediction of energy availability M Longo, M Hirsch, C Mateos, A Zunino Information 10 (3), 86, 2019 | 16 | 2019 |
| Principales enfermedades del cultivo de maíz en las últimas campañas y su manejo. 7 p L Couretot, L Parisi, M Hirsch, ML Suarez, G Magnone, G Ferraris Disponible en línea: https://inta. gob. ar/sites/default/files/scripttmp …, 2013 | 15 | 2013 |
| EasyFJP: Providing hybrid parallelism as a concern for divide and conquer Java applications C Mateos, A Zunino, M Hirsch Computer Science and Information Systems 10 (3), 1129-1163, 2013 | 13 | 2013 |
| Spotting and removing WSDL anti-pattern root causes in code-first web services using NLP techniques: a thorough validation of impact on service discoverability M Hirsch, A Rodriguez, JM Rodriguez, C Mateos, A Zunino Computer Standards & Interfaces 56, 116-133, 2018 | 12 | 2018 |
| A simulation-based performance evaluation of heuristics for dew computing M Hirsch, C Mateos, A Zunino, TA Majchrzak, TM Grønli, H Kaindl | 11 | 2021 |
| A performance comparison of data-aware heuristics for scheduling jobs in mobile grids M Hirsch, C Mateos, JM Rodriguez, A Zunino, Y Garí, DA Monge 2017 XLIII Latin American Computer Conference (CLEI), 1-8, 2017 | 11 | 2017 |
| A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices M Hirsch, C Mateos, A Zunino, J Toloza Simulation Modelling Practice and Theory 109, 102266, 2021 | 10 | 2021 |
| Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support C Mateos, A Zunino, M Hirsch, M Fernández Advances in Engineering Software 43 (1), 27-43, 2012 | 10 | 2012 |
| A software tool for semi-automatic gridification of resource-intensive java bytecodes and its application to ray tracing and sequence alignment C Mateos, A Zunino, M Hirsch, M Fernández, M Campo Advances in Engineering Software 42 (4), 172-186, 2011 | 10 | 2011 |
| New heuristics for scheduling and distributing jobs under hybrid dew computing environments P Sanabria, TF Tapia, A Neyem, JI Benedetto, M Hirsch, C Mateos, ... Wireless Communications and Mobile Computing 2021 (1), 8899660, 2021 | 8 | 2021 |
| Motrol 2.0: A Dew-oriented hardware/software platform for batch-benchmarking smartphones C Mateos, M Hirsch, J Toloza, A Zunino 2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021 | 4 | 2021 |
| Connection-Aware Heuristics for Scheduling and Distributing Jobs under Dynamic Dew Computing Environments P Sanabria, S Montoya, A Neyem, R Toro Icarte, M Hirsch, C Mateos Applied Sciences 14 (8), 3206, 2024 | 3 | 2024 |
| Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm V Yannibelli, M Hirsch, J Toloza, TA Majchrzak, A Zunino, C Mateos Sensors 23 (3), 1388, 2023 | 3 | 2023 |
| LiveDewStream: A stream processing platform for running in-lab distributed deep learning inferences on smartphone clusters at the edge C Mateos, M Hirsch, JM Toloza, A Zunino SoftwareX 20, 101268, 2022 | 2 | 2022 |
Cristian MateosResearcher at ISISTAN-UNICEN-CONICETVerified email at conicet.gov.ar
