Toward a systematic survey for carbon neutral data centers
Data centers are experiencing unprecedented growth as the fourth industrial revolution's
supporting pillars and the engine for the future digitalized world. However, data centers are …
supporting pillars and the engine for the future digitalized world. However, data centers are …
A survey on scheduling techniques in computing and network convergence
S Tang, Y Yu, H Wang, G Wang, W Chen… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …
computing power. This trend results in the urgent need for higher-level computing resource …
HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments
Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …
solutions to a variety of different problems. The massive shift of organization resource needs …
HUNTER: AI based holistic resource management for sustainable cloud computing
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous
demand for hosting application services on the cloud. Further, contemporary data-intensive …
demand for hosting application services on the cloud. Further, contemporary data-intensive …
Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach
With the advantages such as high-performance, low-maintenance, and reliability, more and
more companies are moving their computing infrastructures to the cloud. In the meantime …
more companies are moving their computing infrastructures to the cloud. In the meantime …
Energy saving evaluation of an energy efficient data center using a model-free reinforcement learning approach
To reduce cooling energy consumption, data centers are recommended to raise temperature
setpoints of server intake. However, in tropical climates, Data Center operators are still found …
setpoints of server intake. However, in tropical climates, Data Center operators are still found …
Importance weighted actor-critic for optimal conservative offline reinforcement learning
Abstract We propose A-Crab (Actor-Critic Regularized by Average Bellman error), a new
practical algorithm for offline reinforcement learning (RL) in complex environments with …
practical algorithm for offline reinforcement learning (RL) in complex environments with …
A decentralized adaptation of model-free Q-learning for thermal-aware energy-efficient virtual machine placement in cloud data centers
The traditional method of saving energy in Virtual Machine Placement (VMP) is based on
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
Optimizing energy efficiency for data center via parameterized deep reinforcement learning
The rapid advancements in cloud computing, Big Data and their related applications have
led to a skyrocketing increase in data center energy consumption year by year. The prior …
led to a skyrocketing increase in data center energy consumption year by year. The prior …
An open-source and experimentally guided CFD strategy for predicting air distribution in data centers with air-cooling
W Liu, S Lian, X Fang, Z Shang, H Wu, H Zhu… - Building and …, 2023 - Elsevier
Data centers are generally over cooled to ensure the trouble free running. In a data center
with air-cooling, it is crucial to investigate the air distribution and temperature field to aid the …
with air-cooling, it is crucial to investigate the air distribution and temperature field to aid the …