Towards heat-recirculation-aware virtual machine placement in data centers
As customers take virtual machines (VMs) as their demands, high-efficient placement of VMs
is required to reduce the energy consumption in data centers. Existing Virtual Machine …
is required to reduce the energy consumption in data centers. Existing Virtual Machine …
Bi-objective optimization and reliability analysis in unreliable M/G/1 retrial queues with rational customers, reserved idle times and setup times
F Xu, R Tian, L Hu, Q Shao - Quality Technology & Quantitative …, 2024 - Taylor & Francis
Energy consumption arising from no-loads and failures is a common and challenging
problem in the design of service systems. To analyze the impact of no-load consumption and …
problem in the design of service systems. To analyze the impact of no-load consumption and …
[HTML][HTML] Core and uncore joint frequency scaling strategy
Energy-proportional computing is one of the foremost constraints in the design of next
generation exascale systems. These systems must have a very high FLOP-per-watt ratio to …
generation exascale systems. These systems must have a very high FLOP-per-watt ratio to …
Coca4ai: checking energy behaviors on AI data centers
P Gay, É Bilinski, AL Ligozat - arxiv preprint arxiv:2407.15670, 2024 - arxiv.org
Monitoring energy behaviors in AI data centers is crucial, both to reduce their energy
consumption and to raise awareness among their users which are key actors in the AI field …
consumption and to raise awareness among their users which are key actors in the AI field …
An Energy Efficiency Strategy Based on Bayesian Classification in SDN Data Center
X HanLiang, PH Yu, G Sha - 2020 IEEE Intl Conf on Parallel & …, 2020 - ieeexplore.ieee.org
The research focuses of this paper is data center energy saving. An algorithm DSSBC (the
Dynamic Scheduling Strategy Based on Bayesian Classification) is proposed and it is …
Dynamic Scheduling Strategy Based on Bayesian Classification) is proposed and it is …
Predicting container-level power consumption in data centers using machine learning approaches
R Bergström - 2020 - diva-portal.org
Due to the ongoing climate crisis, reducing waste and carbon emissions has become hot
topic in many fields of study. Cloud data centers contribute a large portion to the world's …
topic in many fields of study. Cloud data centers contribute a large portion to the world's …
Shadow Data: A Method to Optimize Incremental Synchronization in Data Center
C Zhang, D Qi, W Huang - IFIP International Conference on Network and …, 2020 - Springer
With the continuous increase of data, the data center that plays the role of backup is facing
the problem of energy hunger. In practice, to reduce the bandwidth, the local data is …
the problem of energy hunger. In practice, to reduce the bandwidth, the local data is …
[CITATION][C] Improving the sustainability of data centres using agent-based geographical load balancing
R Rahmani - 2020
[CITATION][C] Core and Uncore Joint Frequency Scaling Strategy
V Sundriyal, M Sosonkina, B Westheimer… - 2018 - Scientific Research Publishing Inc.
[CITATION][C] List of Citations
L Bulej - Future Generation Computer Systems, 2018