A Framework for Characterizing Very Large Cloud Workload Traces with Unsupervised Learning
Author:
Affiliation:
1. School of Computer Science and Engineering The University of New South Wales
2. School of Computer Science The University of Sydney,Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10254734/10254952/10254982.pdf?arnumber=10254982
Reference32 articles.
1. Google cluster data;hellerstein;Google Research Blog,2010
2. Towards characterizing cloud backend workloads
3. Analysis and lessons from a publicly available google cluster trace;chen;EECS Department University of California Berkeley Tech Rep UCB/EECS-2010–95 Jun 2010 [Online] Available,0
4. Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster
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