Brussels / 2 & 3 February 2019

schedule

H.2213


Day Start End Track(s)
Saturday 10:30 19:00 Virtualization and IaaS
Sunday 09:10 16:30 ML on Code
09 10 11 12 13 14 15 16 17 18
Saturday "Enlightening" KVM
Hyper-V emulation
Getting To Blinky: Virt Edition
Making device pass-through work on embedded ARM
Toward exploring virtual disks using a file manager! It's Time for the Populator
Declarative initialization of kubernetes persistent storage
Bare Metal In The Cloud: Isn’t it Ironic?
Explaining OpenStack bare metal provisioning service
Managing VMs and Containers in a Deeply Integrated UI Monitoring Kubernetes and Virtualization Make Room! Make Room!
Space saving techniques in oVirt
Use kcli with all your virtualization solutions! High performance virtual machines in oVirt
Explain oVirt solution for easy creation of virtual machines running in highest possible performance
Speeding up the Booting Time of a Toro Appliance Apply complex network configuration to your Kubernetes cluster hosts by declaring it Real-time virtualization automation
Mgmt Config: Virtualization
Implementing UEFI Variable Services in QEMU XCP-ng: building an Open Source and turnkey virtualization platform
From Kickstarter to the datacenter, a Xen based solution
rust-vmm
shared virtualization crates
Virtual IOMMU Implementation using HW Nested Paging
Sunday Understanding Source Code with Deep Learning Suggesting Fixes during Code Review with ML Astor: An automated software repair framework Code anomalies in Kotlin programs
Automatic detection of anomalous code fragments written in Kotlin
Predicting areas for PR Comments based on Code Vectors & Mailing List Data Deduplication on large amounts of code
Fuzzy deduplication of PGA using source{d} stack
Neural commit message suggester
Proposing better git commit messages with neural networks
Mining Source Code^3
Mining Idioms, Usages and Edits
Coming: a Tool for Mining Change Pattern Instances from Git Commits How to build an automatic refactoring and migration toolkit Smelling Source Code Using Deep Learning

Events

Title Track Start End

Saturday

  "Enlightening" KVM
Hyper-V emulation
Virtualization and IaaS 10:30 11:00
  Getting To Blinky: Virt Edition
Making device pass-through work on embedded ARM
Virtualization and IaaS 11:00 11:30
  Toward exploring virtual disks using a file manager! Virtualization and IaaS 11:30 12:00
  It's Time for the Populator
Declarative initialization of kubernetes persistent storage
Virtualization and IaaS 12:00 12:30
  Bare Metal In The Cloud: Isn’t it Ironic?
Explaining OpenStack bare metal provisioning service
Virtualization and IaaS 12:30 13:00
  Managing VMs and Containers in a Deeply Integrated UI Virtualization and IaaS 13:00 13:30
  Monitoring Kubernetes and Virtualization Virtualization and IaaS 13:30 14:00
  Make Room! Make Room!
Space saving techniques in oVirt
Virtualization and IaaS 14:00 14:30
  Use kcli with all your virtualization solutions! Virtualization and IaaS 14:30 15:00
  High performance virtual machines in oVirt
Explain oVirt solution for easy creation of virtual machines running in highest possible performance
Virtualization and IaaS 15:00 15:30
  Speeding up the Booting Time of a Toro Appliance Virtualization and IaaS 15:30 16:00
  Apply complex network configuration to your Kubernetes cluster hosts by declaring it Virtualization and IaaS 16:00 16:30
  Real-time virtualization automation
Mgmt Config: Virtualization
Virtualization and IaaS 16:30 17:00
  Implementing UEFI Variable Services in QEMU Virtualization and IaaS 17:00 17:30
  XCP-ng: building an Open Source and turnkey virtualization platform
From Kickstarter to the datacenter, a Xen based solution
Virtualization and IaaS 17:30 18:00
  rust-vmm
shared virtualization crates
Virtualization and IaaS 18:00 18:30
  Virtual IOMMU Implementation using HW Nested Paging Virtualization and IaaS 18:30 19:00

Sunday

  Understanding Source Code with Deep Learning ML on Code 09:10 09:50
  Suggesting Fixes during Code Review with ML ML on Code 09:50 10:30
  Astor: An automated software repair framework ML on Code 10:30 11:10
  Code anomalies in Kotlin programs
Automatic detection of anomalous code fragments written in Kotlin
ML on Code 11:10 11:50
  Predicting areas for PR Comments based on Code Vectors & Mailing List Data ML on Code 11:50 12:30
  Deduplication on large amounts of code
Fuzzy deduplication of PGA using source{d} stack
ML on Code 12:30 13:10
  Neural commit message suggester
Proposing better git commit messages with neural networks
ML on Code 13:10 13:50
  Mining Source Code^3
Mining Idioms, Usages and Edits
ML on Code 13:50 14:30
  Coming: a Tool for Mining Change Pattern Instances from Git Commits ML on Code 14:30 15:10
  How to build an automatic refactoring and migration toolkit ML on Code 15:10 15:50
  Smelling Source Code Using Deep Learning ML on Code 15:50 16:30