METHOD AND SYSTEM FOR MANAGING HYBRID SPARK CLUSTER FOR EFFICIENT SPARK JOB EXECUTION

Disclosed are a method and system for managing a hybrid Spark cluster for efficient Spark job execution. A cluster management method which is performed by a cluster management system may include, in a hybrid Spark cluster environment including a bare-metal-based cluster and a Kubernetes-based cluste...

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Hauptverfasser:	CHUN, Seung-Tae, KIL, Gi-Beom, CHOI, Gyu-Hong, LEE, Dong-Wook
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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creator	CHUN, Seung-Tae KIL, Gi-Beom CHOI, Gyu-Hong LEE, Dong-Wook
description	Disclosed are a method and system for managing a hybrid Spark cluster for efficient Spark job execution. A cluster management method which is performed by a cluster management system may include, in a hybrid Spark cluster environment including a bare-metal-based cluster and a Kubernetes-based cluster, selecting a cluster manager comprising the bare-metal-based cluster or the Kubernetes-based cluster before a Spark client performs a Spark driver program, and performing a Spark job by using the selected cluster manager.
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subjects	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
title	METHOD AND SYSTEM FOR MANAGING HYBRID SPARK CLUSTER FOR EFFICIENT SPARK JOB EXECUTION
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