A survey on machine learning for geo-distributed cloud data center management

N Hogade, S Pasricha - IEEE Transactions on Sustainable …, 2022 - ieeexplore.ieee.org
Cloud workloads today are typically managed in a distributed environment and processed
across geographically distributed data centers. Cloud service providers have been …

Workload and energy management of geo-distributed datacenters considering demand response programs

M Zhao, X Wang, J Mo - Sustainable Energy Technologies and …, 2023 - Elsevier
Datacenters usually consume huge energy and their workload can be adjusted dynamically,
which makes them become good potential participants of demand response (DR) programs …

Highly fluctuating short-term load forecasting based on improved secondary decomposition and optimized VMD

Y Wen, S Pan, X Li, Z Li - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Abstract Short Term Load Forecasting (STLF) is a critical task in the power sector, enabling
efficient resource allocation and grid management. However, the volatile and complex …

[PDF][PDF] Power usage efficiency (PUE) optimization with counterpointing machine learning techniques for data center temperatures

R Kumar, SK Khatri, MJ Diván - International Journal of …, 2021 - researchgate.net
The rapid increase in the IT infrastructure has led to demands in more Data Center Space &
Power to fulfil the Information and Communication Technology (ICT) services hosting …

[PDF][PDF] Hybrid Deep Learning Framework for Privacy Preservation in Geo-Distributed Data Centre.

S Nithyanantham, G Singaravel - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
In recent times, a huge amount of data is being created from different sources and the size of
the data generated on the Internet has already surpassed two Exabytes. Big Data …

Space habitat data centers—for future computing

A Periola, A Alonge, K Ogudo - Symmetry, 2020 - mdpi.com
Data from sensor-bearing satellites requires processing aboard terrestrial data centres that
use water for cooling at the expense of high data-transfer latency. The reliance of terrestrial …

Data center cooling load prediction and analysis based on weather data clustering

H Meng, Q Lin, L Zhang - Proceedings of the 2023 12th International …, 2023 - dl.acm.org
With the rapid development of data center, it is urgent to reduce energy consumption from
the perspective of central cooling plant. At the same time, with the deepening application of …

Development of Artificial Intelligence Systems in terms of People-Process-Data-Technology (2PDT)

S Monshizada, H Sarbazhosseini… - Pacific Asia Journal of …, 2023 - aisel.aisnet.org
Background: Artificial Intelligence (AI) has become a ubiquitous phenomenon in recent
times, with most organizations today attempting to maneuver their way around developing AI …

基于GRU 神经网络的数据中心能耗预测模型研究

杨丽娜, 赵鹏, 王佩哲 - 电力信息与通信技术, 2021 - epjournal.csee.org.cn
数据中心产生的巨大能耗给经济和环境带来了压力, 对能耗进行分析和预测可为其能耗效率的
优化提供重要依据. 考虑到包括室外天气, 内部数据中心CPU 负载等影响数据中心能耗的复杂 …

Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods

H Herlinah, BEW Asrul, HS Hafsah, M Faisal… - ILKOM Jurnal …, 2024 - 103.133.36.110
Strawberry is one of the fruit commodities that has a high demand so that it is widely
cultivated by most people in Bantaeng Regency to meet with the market needs. The high …