A multi-objective approach for workflow scheduling in heterogeneous environments HM Fard, R Prodan, JJD Barrionuevo, T Fahringer 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2012 | 236 | 2012 |
A truthful dynamic workflow scheduling mechanism for commercial multicloud environments HM Fard, R Prodan, T Fahringer IEEE Transactions on Parallel and Distributed systems 24 (6), 1203-1212, 2012 | 183 | 2012 |
MOHEFT: A multi-objective list-based method for workflow scheduling JJ Durillo, HM Fard, R Prodan 4th IEEE International Conference on Cloud Computing Technology and Science …, 2012 | 155 | 2012 |
Double auction-based scheduling of scientific applications in distributed grid and cloud environments R Prodan, M Wieczorek, HM Fard Journal of Grid Computing 9, 531-548, 2011 | 98 | 2011 |
Multi-objective list scheduling of workflow applications in distributed computing infrastructures HM Fard, R Prodan, T Fahringer Journal of Parallel and Distributed Computing 74 (3), 2152-2165, 2014 | 76 | 2014 |
An economic approach for scheduling dependent tasks in grid computing HM Fard, H Deldari 2008 11th IEEE International Conference on Computational Science and …, 2008 | 24 | 2008 |
Handling the uncertainty in resource performance for executing workflow applications in clouds HM Fard, S Ristov, R Prodan Proceedings of the 9th International Conference on Utility and Cloud …, 2016 | 19 | 2016 |
Budget-constrained resource provisioning for scientific applications in clouds HM Fard, T Fahringer, R Prodan 2013 IEEE 5th International Conference on Cloud Computing Technology and …, 2013 | 19 | 2013 |
ElastiSim: a batch-system simulator for malleable workloads T Özden, T Beringer, A Mazaheri, HM Fard, F Wolf Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 18 | 2022 |
Dynamic multi-objective scheduling of microservices in the cloud HM Fard, R Prodan, F Wolf 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020 | 16 | 2020 |
A container-driven approach for resource provisioning in edge-fog cloud HM Fard, R Prodan, F Wolf Algorithmic Aspects of Cloud Computing: 5th International Symposium …, 2020 | 15 | 2020 |
Multi-objective hybrid autoscaling of microservices in Kubernetes clusters A Horn, HM Fard, F Wolf European Conference on Parallel Processing, 233-250, 2022 | 11 | 2022 |
A bi-criteria truthful mechanism for scheduling of workflows in clouds HM Fard, R Prodan, G Moser, T Fahringer 2011 IEEE third international conference on cloud computing technology and …, 2011 | 10 | 2011 |
Dynamic multi-objective virtual machine placement in cloud data centers R Prodan, E Torre, JJ Durillo, GS Aujla, N Kummar, HM Fard, S Benedikt 2019 45th Euromicro Conference on Software Engineering and Advanced …, 2019 | 7 | 2019 |
SMART: A tool for trust and reputation management in social media N Saurabh, M Herold, HM Fard, R Prodan European Conference on Parallel Processing, 417-427, 2021 | 4 | 2021 |
Efficient job scheduling for clusters with shared tiered storage LE Lackner, HM Fard, F Wolf 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019 | 2 | 2019 |
COVIDDCGAN: Oversampling Model Using DCGAN Network to Balance a COVID-19 Dataset SM Javadi-Moghaddam, H Gholamalinejad, HM Fard International Journal of Information Technology & Decision Making 22 (05 …, 2023 | 1 | 2023 |
Multi-objective scheduling for scientific workflow applications in grid and cloud infrastructures HM Fard Dissertation, University of Innsbruck, 2015 | 1 | 2015 |
AN IMPROVED PRICING APPROACH BASED ON COMBINATORIAL AUCTION METHOD IN CLOUD ENVIRONMENT SM Javadi-Moghaddam, HM Fard Lebanese Science Journal 23 (1), 61, 2022 | | 2022 |
Chan, Ka-Hou 434 Che, Hao 23, 366 Cheema, Muhammad Aamir 186 Cheng, Yu 408 HR Cheong, K Andersson, A Anjum, MC Araujo, S Armstrong, KE Årzén, ... | | |