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András Márkus
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2020 – today
- 2024
- [c22]András Márkus, Valentin Daniel Hegedus, József Dániel Dombi, Attila Kertész:
Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT. ICFEC 2024: 71-78 - 2023
- [b1]András Márkus:
DISSECT-CF-Fog: A Simulation Environment for Analysing the Cloud-to-Thing Continuum. University of Szeged, Hungary, 2023 - [j6]András Márkus
, Ali Al-Haboobi
Simulating IoT Workflows in DISSECT-CF-Fog. Sensors 23(3): 1294 (2023) - [c21]Wilson Valdez
Towards a Simulation as a Service Platform for the Cloud-to-Things Continuum. Euro-Par Workshops 2023: 65-75 - 2021
- [j5]András Márkus
Actuator behaviour modelling in IoT-Fog-Cloud simulation. PeerJ Comput. Sci. 7: e651 (2021) - [c20]András Márkus, Mate Biro, Attila Kertész:
Analysing IoT Applications with DISSECT-CF-Fog in Simulated Fog and Cloud Environments. CERCIRAS 2021 - [c19]András Márkus
Modelling Energy Consumption of IoT Devices in DISSECT-CF-Fog. CLOSER 2021: 320-327 - [c18]András Márkus
Location-aware Task Allocation Strategies for IoT-Fog-Cloud Environments. PDP 2021: 185-192 - 2020
- [j4]András Márkus
A survey and taxonomy of simulation environments modelling fog computing. Simul. Model. Pract. Theory 101: 102042 (2020) - [c17]András Márkus, Peter Gacsi, Attila Kertész:
Develop or Dissipate Fogs? Evaluating an IoT Application in Fog and Cloud Simulations. CLOSER 2020: 193-203 - [c16]András Márkus
Investigating IoT Application Behaviour in Simulated Fog Environments. CLOSER (Selected Papers) 2020: 258-276
2010 – 2019
- 2019
- [j3]András Márkus
Multi-Cloud Management Strategies for Simulating IoT Applications. Acta Cybern. 24(1): 83-103 (2019) - 2018
- [c15]Gabor Kecskemeti
Towards Pricing-Aware Consolidation Methods for Cloud Datacenters. CLOSER (Selected Papers) 2018: 152-167 - [c14]Gabor Kecskemeti, András Márkus, Attila Kertész:
Cost-efficient Datacentre Consolidation for Cloud Federations. CLOSER 2018: 213-220 - [p1]András Márkus
Efficient Simulation of IoT Cloud Use Cases. Autonomous Control for a Reliable Internet of Services 2018: 313-336 - 2017
- [j2]András Márkus
Cost-Aware IoT Extension of DISSECT-CF. Future Internet 9(3): 47 (2017) - [c13]András Márkus
Simulating IoT Cloud systems: A meteorological case study. FMEC 2017: 171-176 - [c12]András Márkus
Flexible Representation of IoT Sensors for Cloud Simulators. PDP 2017: 199-203
2000 – 2009
- 2003
- [j1]Anikó Ekárt
Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms. Artif. Intell. Eng. Des. Anal. Manuf. 17(3): 205-220 (2003) - [c11]Laszlo Monostori, József Váncza, András Márkus, Botond Kádár, Zsolt János Viharos:
Digital enterprises: first results of a national R&D project. IROS 2003: 2335-2340 - 2001
- [c10]József Váncza, András Márkus:
A Constraint Engine for Manufacturing Process Planning. CP 2001: 745-759 - [c9]András Márkus, József Váncza:
Product Line Design with Customer Preferences. IEA/AIE 2001: 846-855
1990 – 1999
- 1999
- [c8]Miklós Horváth, András Márkus, József Váncza:
Cooperation Via Conflicts In Manufacturing Systems. Cooperative Knowledge Processing for Engineering Design 1999: 307-324 - 1997
- [c7]András Márkus, Gábor Renner, József Váncza:
Spline interpolation with genetic algorithms. Shape Modeling International 1997: 47-54 - 1996
- [c6]Tamás Kis, József Váncza, András Márkus:
Controlling Distributed Manufacturing Systems by a Market Mechanism. ECAI 1996: 534-538 - 1994
- [c5]András Márkus, József Váncza:
Inference and Optimization Methods for Manufacturing Process Planning. ECAI 1994: 595-599 - 1993
- [c4]András Márkus:
Dual Insights into Genetic Algorithms. ICGA 1993: 645 - [c3]Miklós Horváth, András Márkus, József Váncza:
Conflicts in Manufacturing Systems - A Problem Setting. DIISM 1993: 265-279 - 1991
- [c2]András Márkus:
Experiments with Genetic Algorithms for Displaying Graphs. VL 1991: 62-67
1980 – 1989
- 1983
- [c1]András Márkus:
Shifting the Focus of Attention: The Way Agatha Christie Leads You On. IJCAI 1983: 66-68
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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