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 keeping …

Cost and capacity optimization of regional wind-hydrogen integrated energy system

X Liu, Y Wang, Z Wei, J Tian, G Xiao, P Wang - International Journal of …, 2024 - Elsevier
The accurate aging evaluation is one of the important factors to find the optimal operation
mode of the regional wind-hydrogen integrated energy system (RWHIES). In this article, a …

Chaotic-nondominated-sorting owl search algorithm for energy-aware multi-workflow scheduling in hybrid clouds

H Li, G Xu, D Wang, MC Zhou, Y Yuan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since a single private cloud cannot satisfy the increasing computational requirements for
executing multiple workflows simultaneously, hybrid clouds are often adopted to perform …

Optimising makespan and energy consumption in task scheduling for parallel systems

R Stewart, A Raith, O Sinnen - Computers & Operations Research, 2023 - Elsevier
In parallel computing, the scheduling of the tasks of an application onto the processors of the
parallel system is crucial. A task schedule determines both the allocation of tasks to the …

SAFLA: scheduling multiple real-time periodic task graphs on heterogeneous systems

SK Roy, R Devaraj, A Sarkar - IEEE Transactions on Computers, 2022 - ieeexplore.ieee.org
Many modern Cyber Physical Systems (CPSs) are composed of multiple independent
periodically executing real-time control tasks having inter-dependent component sub-tasks …

TMDS: Temperature-aware makespan minimizing DAG scheduler for heterogeneous distributed systems

D Senapati, K Rajesh, C Karfa, A Sarkar - ACM Transactions on Design …, 2023 - dl.acm.org
To meet application-specific performance demands, recent embedded platforms often
involve the use of intricate micro-architectural designs and very small feature sizes leading …

ENF-S: an evolutionary-neuro-fuzzy multi-objective task scheduler for heterogeneous multi-core processors

A Abdi, A Salimi-Badr - IEEE Transactions on Sustainable …, 2023 - ieeexplore.ieee.org
In this paper, an evolutionary-neuro-fuzzy-based task scheduling approach (ENF-S) to
jointly optimize the main critical parameters of heterogeneous multi-core systems is …

Computation offloading for energy efficiency maximization of sustainable energy supply network in iiot

Z Tong, J Cai, J Mei, K Li, K Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The efficiency of production and equipment maintenance costs in the Industrial Internet of
Things (IIoT) are directly impacted by equipment lifetime, making it an important concern …

Binary Search-Based Fast Scheduling Algorithms for Reliability-Aware Energy-Efficient Task Graph Scheduling with Fault Tolerance

SK Biswas, PK Muhuri, UK Roy - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Among the available processor-level energy savings schemes, dynamic voltage and
frequency scaling (DVFS) is very popular and effective due to its widespread cross-platform …

A proactive energy management strategy for battery-powered autonomous systems

H Li, Z Liu, Y Yang, H Yang, B Shu, W Liu - Applied Energy, 2024 - Elsevier
Battery energy management systems have been studied in control communities for many
years. This paper proposes a new perspective by integrating control and scheduling for …