| A Cloud-Based Framework For Machine Learning Workloads And Applications | 0 | 0.34 | 2020 |
| Deep Learning for Proactive Network Monitoring and Security Protection. | 0 | 0.34 | 2020 |
| Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey | 15 | 0.82 | 2019 |
| An efficient cloud scheduler design supporting preemptible instances. | 1 | 0.35 | 2019 |
| umd-verification: Automation of Software Validation for the EGI federated e-Infrastructure. | 0 | 0.34 | 2018 |
| Resource provisioning in Science Clouds: Requirements and challenges. | 3 | 0.37 | 2018 |
| INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures. | 2 | 0.37 | 2018 |
| Orchestrating Complex Application Architectures in Heterogeneous Clouds. | 4 | 0.42 | 2018 |
| Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers. | 0 | 0.34 | 2017 |
| Efficient image deployment in cloud environments. | 3 | 0.41 | 2017 |
| INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures. | 0 | 0.34 | 2017 |
| Standards for enabling heterogeneous IaaS cloud federations. | 5 | 0.42 | 2017 |
| Evolution of the Open Cloud Computing Interface. | 0 | 0.34 | 2016 |
| ooi: OpenStack OCCI interface | 0 | 0.34 | 2016 |
| The EGI Federated Cloud e-Infrastructure | 6 | 0.45 | 2015 |
| Identity Federation with VOMS in Cloud Infrastructures | 10 | 0.87 | 2013 |
| Analysis of Scientific Cloud Computing requirement. | 0 | 0.34 | 2013 |
