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 …

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

BP Bhattarai, S Paudyal, Y Luo, M Mohanpurkar… - IET Smart …, 2019 - Wiley Online Library
Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …

Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems

J Chen, P Han, Y Zhang, T You, P Zheng - Journal of Systems Architecture, 2023 - Elsevier
Heterogeneous multi-processor architecture which achieves rich functionalities with different
types of processors, is widely used to provide powerful calculating capability while kee** …

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Big data analytics for dynamic energy management in smart grids

PD Diamantoulakis, VM Kapinas, GK Karagiannidis - Big Data Research, 2015 - Elsevier
The smart electricity grid enables a two-way flow of power and data between suppliers and
consumers in order to facilitate the power flow optimization in terms of economic efficiency …

Energy-aware scheduling for dependent tasks in heterogeneous multiprocessor systems

J Chen, Y He, Y Zhang, P Han, C Du - Journal of Systems Architecture, 2022 - Elsevier
Heterogeneous multiprocessor platform has been widely adopted as an effective approach
to providing strong calculation capability while kee** complexity and energy consumption …

An energy-efficient task scheduling algorithm in DVFS-enabled cloud environment

Z Tang, L Qi, Z Cheng, K Li, SU Khan, K Li - Journal of Grid Computing, 2016 - Springer
The growth of energy consumption has been explosive in current data centers, super
computers, and public cloud systems. This explosion has led to greater advocacy of green …

Workflow scheduling in cloud: a survey

F Wu, Q Wu, Y Tan - The Journal of Supercomputing, 2015 - Springer
To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Energy-aware scheduling for high-performance computing systems: A survey

B Kocot, P Czarnul, J Proficz - Energies, 2023 - mdpi.com
High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …
C Wang, X Yu, L Xu, W Wang - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
As a key enabler of emerging 6G applications, mobile edge computing (MEC) improves the
system performance by coordinating the computation resources between the mobile devices …