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Jan 1, 2020 � Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data.
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In many cases, HPC in the cloud provides the most efficient and cost-effective solution. The most comprehensive way to determine HPC workload placement is�...
Jul 15, 2021 � This work presents a framework for a data-driven, cost-optimal retrofit analysis based on machine learning (ML) techniques which capitalizes on the importance�...
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May 13, 2020 � This study is formed with respect to finding a suitable optimization method of the total costs for the number of jobs that are executed in a�...
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Cost-effectiveness analyses (CEAs) may use data from cluster randomized trials (CRTs), where the unit of randomization is the cluster, not the individual.
Sep 11, 2024 � This document discusses Google Kubernetes Engine (GKE) features and options, and the best practices for running cost-optimized applications on GKE.
May 4, 2024 � We examine the capital expenditure (Capex) broken down by major item item such as H100, CPUs, DDR5 memory, infiniband switches, etc.
This paper would provide answers to these questions, by proposing a new methodology for the evaluation of the cost-optimality, by means of the multi-objective�...
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Feb 28, 1994 � This high volume technology is cost e ective and will certainly remain with the highest market share among cluster installations. This�...
The cost optimization pillar in the Google Cloud Architecture Framework describes principles and recommendations to optimize the cost of your workloads in�...
