Cluster management framework for autonomic machine learning platform
H Kim, Y Kim, J Hong - Proceedings of the Conference on Research in …, 2019 - dl.acm.org
H Kim, Y Kim, J Hong
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019•dl.acm.orgAutonomic machine learning platforms must provide the necessary management tasks while
monitoring the execution status of remotely running machine learning tasks and the
performance of the model being trained. In this paper, we design a cluster management
framework. The proposed cluster management framework monitors distributed computing
resources so that it helps the autonomic machine learning platform to select the proper
machine learning algorithm and to execute the proper machine learning model.
monitoring the execution status of remotely running machine learning tasks and the
performance of the model being trained. In this paper, we design a cluster management
framework. The proposed cluster management framework monitors distributed computing
resources so that it helps the autonomic machine learning platform to select the proper
machine learning algorithm and to execute the proper machine learning model.
Autonomic machine learning platforms must provide the necessary management tasks while monitoring the execution status of remotely running machine learning tasks and the performance of the model being trained. In this paper, we design a cluster management framework. The proposed cluster management framework monitors distributed computing resources so that it helps the autonomic machine learning platform to select the proper machine learning algorithm and to execute the proper machine learning model.
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