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Data center energy consumption modeling: A survey
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …
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
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 …
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** …
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
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 …
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
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 …
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 …
to providing strong calculation capability while kee** complexity and energy consumption …
An energy-efficient task scheduling algorithm in DVFS-enabled cloud environment
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 …
computers, and public cloud systems. This explosion has led to greater advocacy of green …
Workflow scheduling in cloud: a survey
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 …
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
High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …
performance, especially the execution time and scalability of the computations. However …
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 …
system performance by coordinating the computation resources between the mobile devices …