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Title:T*GreenHDFS: A Cyber-Physical, Data-Centric Cooling Energy Costs Reduction Approach for Big Data Analytics Cloud
Author(s):Kaushik, Rini T.
Contributor(s):Nahrstedt, Klara; Abdelzaher, Tarek F.
Subject(s):Energy
hadoop
data-intensive computing
HDFS
cooling
Flovent
Thermal-Management
Cooling Energy Costs
Thermal-Aware Data Placement
Data center
cluster
Abstract:Big Data explosion and surge in large-scale Big Data analytics cloud infrastructure have led to burgeoning energy costs and present a challenge to the existing run-time cooling energy management techniques. T*GreenHDFS, a thermal-aware cloud file system, takes a novel, data-centric approach to reduce cooling energy costs. On the physical-side, T*GreenHDFS is cognizant of the uneven thermal-profile in the data centers due to complex airflow patterns, varying ability of the cooling system to cool different parts of the data center, and run-time load distribution. On the cyber-side, T*GreenHDFS is aware of the differences in the data-semantics of the data placed on the clusters. Based on this knowledge, and coupled with its predictive data models, T*GreenHDFS does proactive, thermal-aware data placement, which implicitly results in thermal-aware computation placement in the Big Data analytics cloud compute model. Evaluation results show up to 59% reduction in the cooling energy costs with T*GreenHDFS.
Issue Date:2011-05
Genre:Technical Report
Type:Text
Other
Language:English
URI:http://hdl.handle.net/2142/30404
Publication Status:unpublished
Date Available in IDEALS:2012-11-27


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