Research

Main research interests

• Scheduling and Optimization
  • Job scheduling for HPC infrastructures
  • ML-based orchestration
  • Network-aware scheduling of virtual infrastructures (e.g., containers, virtual machines and switches)
  • GPU-accelerated schedulers
  • Virtual infrastructures and job scheduling based on machine learning
  • Time-constrained scheduling
• Network management and virtualization
  • SDN-based DC
  • TCP congestion control virtualization
  • QoS and QoE provisioning
• Reliability
  • Virtual machine replication
  • Reliable virtual infrastructures provisioning
• High-Performance Computing
  • MPI-based applications: network impact and data locality
  • GPU programming
  • HPC execution on cloud DCs
  • Network management for HPC
• Cloud Computing
  • Management of OpenStack-based DC clouds
  • Selection of cloud providers based on multicriteria analysis
  • Containers and microservices provisioning
  • Blockchain-based management of cloud and network computing