Anuket Project

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ViNePerfSridhar Rao 
  1. Support for Kubernetes dataplane benchmarking - east-west traffic - is added.
  2. Two new tools (stress generator for kubernetes dataplane benchmarking and cloud information collector tool to automate the testing) are added.
  3. Support for building using newer version of DPDK/OVS-DPDK is added.
  4. Minor bug fixes (Qemu build, VPP Build, T-Rex)
  1. The East-West dataplane benchmarking, using  would be ver


ThothSridhar Rao 
  1. 6 Models under VM failure prediction is included (4 LSTM-variations, CNN and Decision Tree).
  2. Two research studies (ML Problems and Techniques for NFV and OSS projects for ML in NFV) are included.
  3. Two tools (Model Selector and Data Extractor) are included.
  1. ModelSelector suggests the best model to start with, based on the data and problem in hand. This can be very useful and save significant time to the users.
  2. The research studies gives the thorough information about the state-of-art for ML in NFV.
  3. The Virtual-Machine FP models improves the performance compared to the existing models.

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