Albumin
发表于 2025-3-23 11:39:32
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种类
发表于 2025-3-23 15:12:48
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提升
发表于 2025-3-23 21:15:17
DNA-Inspired Scheme for Building the Energy Profile of HPC Systemsased on internal counters usage and energy monitoring allows to isolate specific phases during the execution and enables some energy consumption control and energy usage prediction. First experimental validations of the system modeling are presented and analyzed.
先锋派
发表于 2025-3-24 00:19:17
Symbolische Interaktion (Herbert Blumer),n order to enable energy providers to save CO2 emissions at the very source of energy conversion. This paper presents an overview of objectives and concepts of the research, discussing the so-called data centers’ eco-system, the technical approach to collaboration and GreenSLAs as economic incentives.
GRIPE
发表于 2025-3-24 02:50:51
„Aufsiedlungsmanagement“ in Neubauquartierenling solutions, properties of applications, and workload and resource management policies. In the paper we describe the CoolEmAll approach, its expected results and an environment for their verification.
枯萎将要
发表于 2025-3-24 07:11:42
https://doi.org/10.1007/978-3-322-94543-3on tool can be applied to data centers of any type and size. The basic set of data for the GreenIT DC-Benchmarking deviates from a scientific analysis of thirty data centers realized by the Technical University of Berlin. Since April 2010, the stock in the benchmarking tool has grown to 108 data center with more than 79,000 servers.
heckle
发表于 2025-3-24 12:42:56
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详细目录
发表于 2025-3-24 17:22:15
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事与愿违
发表于 2025-3-24 22:31:33
0302-9743 ings of the First International Workshop on Energy Efficient Data Centers (E2DC 2012) held in Madrid, Spain, in May 2012. The 13 revised full papers presented were carefully selected from 32 submissions. The papers cover topics from information and communication technologies of green data centers to
佛刊
发表于 2025-3-25 01:23:21
Norbert Spangenberg,Manfred Clemenzased on internal counters usage and energy monitoring allows to isolate specific phases during the execution and enables some energy consumption control and energy usage prediction. First experimental validations of the system modeling are presented and analyzed.