Fluid

Fluid, elastic data abstraction and acceleration for BigData/AI applications in the cloud. Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in a cloud environment. Enable dataset warmup and acceleration for data-intensive applications by using a distributed cache in Kubernetes with observability, portability, and scalability. Taking characteristics of application and data into consideration for cloud application/dataset scheduling to improve the performance.

Features

DataSet abstraction
Data acceleration
Data-aware scheduling
Data abstraction and acceleration
For BigData/AI applications in cloud
Documentation available

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Related Categories

Go Big Data Tool, Go Observability Tool

Registered

2024-03-20

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