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Data Set Structure Fluid Structure Interaction(NS +Elastic wave) The TF_fsi2_results folder contains simulation data organized by various parameters (mu, x1, x2) where mu determines the viscosity and x1 and x2 are the parameters of the inlet condition. The dataset includes files for mesh, displacement, velocity, and pressure. This dataset structure is detailed below: plaintext TF_fsi2_results/ ├── mesh.h5 # Initial mesh ├── mu=1.0/ # Simulation results for mu = 1.0 │ ├── x1=-4/ # Inlet parameter x1 = -4 │ │ ├── x2=-4/ # Inlet parameter for x2 = -4 │ │ │ └── visualization/ │ │ │ ├── displacement.h5 # Displacements for mu=1.0, x1=-4, x2=-4 │ │ │ ├── velocity.h5 # Velocity field for mu=1.0, x1=-4, x2=-4 │ │ │ └── pressure.h5 # Pressure field for mu=1.0, x1=-4, x2=-4 │ │ ├── x2=-2/ │ │ │ └── visualization/ │ │ │ ├── displacement.h5 │ │ │ ├── velocity.h5 │ │ │ └── pressure.h5 │ │ └── ... # Other x2 values for x1 = -4 │ ├── x1=-2/ │ │ ├── x2=-4/ │ │ │ └── visualization/ │ │ │ ├── displacement.h5 │ │ │ ├── velocity.h5 │ │ │ └── pressure.h5 │ │ └── ... # Other x2 values for x1 = -2 │ └── ... # Other x1 values for mu = 1.0 ├── mu=5.0/ # Simulation results for mu = 5.0 │ └── ... # Similar structure as mu=1.0 └── mu=10.0/ # Simulation results for mu = 10.0 └── ... # Similar structure as mu=1.0 The dataset has readData.py and readMesh.py for loading the data. Also, the NsElasticDataset class in data_utils/data_loaders.py loads data automatically for all specified mus and inlet conditions (x1 and x2). Fluid Motions with Non-deformable Solid(NS) The data is in the folder TF_cfd2_results, and the organization is the same as above.

This dataset is being used to evaluate PerfSim accuracy and speed against a real deployment in a Kubernetes cluster based on sfc-stress workloads.

Drug side effects and drug-drug interactions were mined from publicly available data. Offsides is a database of drug side-effects that were found, but are not listed on the official FDA label. Twosides is the only comprehensive database drug-drug-effect relationships. Over 3,300 drugs and 63,000 combinations connected to millions of potential adverse reactions. Source: http://tatonettilab.org/offsides/ Image Source: http://doi.org/10.1126/scitranslmed.3003377