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(2012) Energy-efficient virtual machine placement in data centers by genetic algorithm. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract. Server consolidation using virtualization(More)
BACKGROUND Multiplexed detection of low-level mutations presents a technical challenge for many technologies, including cancer gene panels used for targeted-resequencing. Analysis of mutations below approximately 2%-5% abundance in tumors with heterogeneity, samples with stromal contamination, or biofluids is problematic owing to increased noise from(More)
Energy efficiency of data centers has become a hot topic in recent years and one of the most effective ways to save energy consumed by servers in a data center is through server consolidation. In this paper, a new dynamic server consolidation approach is proposed. The new dynamic server consolidation approach is inspired by the process of human trading. The(More)
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