Data center energy consumption modeling: A survey

M Dayarathna, Y Wen, R Fan - IEEE Communications surveys …, 2015 - ieeexplore.ieee.org
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey

Y Kumar, S Kaul, YC Hu - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning

P Nawrocki, B Sniezynski - Wireless Personal Communications, 2020 - Springer
In this paper we present an original adaptive task scheduling system, which optimizes the
energy consumption of mobile devices using machine learning mechanisms and context …

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects

P Nawrocki, B Sniezynski, J Kolodziej… - 2020 20th IEEE/ACM …, 2020 - ieeexplore.ieee.org
In this paper we present an original adaptive task scheduling system, which optimizes the
energy consumption of mobile devices using machine learning mechanisms and context …

Machine learning analysis for a flexibility energy approach towards renewable energy integration with dynamic forecasting of electricity balancing power

A Essl, A Ortner, R Haas… - 2017 14th International …, 2017 - ieeexplore.ieee.org
One of the most important instruments to be able to provide the needed level of flexibility in
the electricity system supporting renewable energy integration are balancing markets. We …

Performance of Information Technology Infrastructure Prediction using Machine Learning

IR Heruwidagdo, N Hanafiah, Y Setiawan - Procedia Computer Science, 2021 - Elsevier
Resource management is always an important issue related to good governance decision
making. One of the common problem faced in managing IT Infrastructure is about allocating …

Leakage aware resource management approach with machine learning optimization framework for partially reconfigurable architectures

NK Pham, A Kumar, AK Singh, MMA Khin - Microprocessors and …, 2016 - Elsevier
Shrinking size of transistors has enabled us to integrate more and more logic elements into
FPGA chips leading to higher computing power. However, it also brings a serious concern to …

[PDF][PDF] Improved self-management of datacenter systems applying machine learning

JLB Garcıa - JLB Garcıa/Ph. D. Thesis.–Barcelona, Catalunya …, 2013 - core.ac.uk
Abstract Autonomic Computing is a Computer Science and Technologies research area,
originated during mid 2000's. It focuses on optimization and improvement of complex …

Machine learning approach to generate pareto front for list-scheduling algorithms

NK Pham, A Kumar, KMM Aung - … of the 19th International Workshop on …, 2016 - dl.acm.org
List Scheduling is one of the most widely used techniques for scheduling due to its simplicity
and efficiency. In traditional list-based schedulers, a cost/priority function is used to compute …

Rancang bangun aplikasi pendeteksi keaslian uang menggunakan metode machine learning berbasis android

N Hakiki, B Triandi - Jurnal Info Digit (JID), 2024 - kti.potensi-utama.org
Pendeteksian keaslian uang merupakan hal yang penting dalam mengurangi risiko
penyebaran uang palsu. Dalam penelitian ini, kami mengusulkan rancangan dan …