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View Code? Open in Web Editor NEWServing layer for large machine learning models on Apache Flink
Serving layer for large machine learning models on Apache Flink
Kafka topic should be consumed only once to create the rocksdb state.
Once created, state is check pointed and each time job is cancelled with a save point
each time job is run from a save point.
Implement SVM Model serving using queryable state
Migrate the code base to Flink 1.3.1
Check if the existing code of Queryable client needs any change
Build Flink 1.3.1 from source with RocksJava patch on cluster
So far:
Underlying storage (K/V store)
Find out what are the requirement for the parameter server (storage requirement, amount of traffic, ...)
Flink architecture
How does the processing part look like
Start with Recommender System use case
Try to make it robust enough for other types of models (Sparse Vectors)
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