Yury Babak created IGNITE-8795:
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Summary: Add ability to start and maintain TensorFlow cluster on
top of Apache Ignite
Key: IGNITE-8795
URL: https://issues.apache.org/jira/browse/IGNITE-8795
Project: Ignite
Issue Type: New Feature
Components: ml
Reporter: Yury Babak
Assignee: Anton Dmitriev
Fix For: 2.6
As described in the design document
(https://docs.google.com/document/d/1jROIahK1rc7bSgOvhJhfpMqIGvht_IE8zn5NAt6x8ks/edit?usp=sharing)
Distributed TensorFlow is based on TensorFlow cluster concept. It's a set of
TensorFlow processes started among the cluster and available througth the gRPC
interfaces. It's assumed that these processes contain heavy operations that
requires data to be stored locally on the nodes where the processes running.
Apache Ignite admits the data to be moved from one node to another as result of
node failure of rebalancing. As result the TensorFlow cluster should be changed
dynamically as well as TensorFlow Cache (follow-the-data strategy).
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