JouleSort: a balanced energy-efficiency benchmark

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Energy-Efficient Cloud Computing (2010, background): “This consolidation of shared hardware fosters energy efficiency, measured as workload accomplished per consumed energy [28].”
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers (2011, background): “Today, a typical data center with 1000 racks need 10 MW of power to operate [50].”
Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey (2015, background): “External energy benchmarks, such as JouleSort ([90], which”
A Survey of Green Networking Research (2010, methodology): “Yet, [75] is based on the external sort benchmark, and is thus more suited for data-center/grid environment than for networks.”
LAST: locality-aware sector translation for NAND flash memory-based storage systems (2008, background): “Furthermore, as the energy efficiency of the enterprise systems becomes more critical [1], the enterprise systems are also expected to adopt more SSDs [2].”
A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, methodology): “…evaluates the power and performance characteristics of volume server class and multi-node class computers; and JouleSort, a benchmark to evaluate the trade-oﬀ between power and performance of computing nodes by sorting a ﬁx number of records using as little energy as possible [Rivoire et al. 2007].”