We propose a novel framework to automatically scale the Hadoop cluster in the cloud environment to allocate the right amount of computing resources.
Such an auto-scaling approach provides a valuable reference to optimize the performance of geospatial applications to address data- and computational-intensity ...
A novel framework to automatically scale the Hadoop cluster in the cloud environment to allocate the right amount of computing resources based on the ...
Such an auto-scaling approach provides a valuable reference to optimize the performance of geospatial applications to address data- and computational-intensity ...
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What is auto scaling in cloud computing?
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Feb 21, 2019 · This paper reviews many scalability models, frameworks and algorithms for cloud scalability, unpredictable load balancing and resource ...
The proposed CEAS framework allows us to scale the computing resources of Hadoop cluster so as to either reduce the computing resource use when the workload is ...
Their framework contains following components (1) Cloud computing platform, (2) CoveringHDFS enabled Hadoop cluster, (3) Auto-scaler, and (4) Cluster monitor, ...
This paper investigates an auto-scaling framework on cloud environment aiming to minimise the cost of resource use by automatically adjusting the virtual ...
Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data. Overview of attention for article published in ISPRS International ...
Utilizing cloud computing to address big geospatial data challenges ... Automatic scaling hadoop in the cloud for efficient process of big geospatial data.