Energy-aware processor merging algorithms for deadline constrained parallel applications in heterogeneous cloud computing

G **e, G Zeng, R Li, K Li - IEEE Transactions on Sustainable …, 2017 - ieeexplore.ieee.org
Energy efficiency has become a key issue for cloud computing platforms and data centers.
Minimizing the total energy consumption of an application is one of the most important …

Energy management for multiple real-time workflows on cyber–physical cloud systems

G **e, G Zeng, J Jiang, C Fan, R Li, K Li - Future Generation Computer …, 2020 - Elsevier
Cyber–physical cloud systems (CPCS) are extensions of cyber–physical systems (CPS) that
expand the cyber-part and distribute it on-device and in-cloud. CPCS are considered large …

Towards Enhanced Energy Aware Resource Optimization for Edge Devices Through Multi-cluster Communication Systems

S Li, Y Ma, Y Zhang, Y **e - Journal of Grid Computing, 2024 - Springer
In the realm of the Internet of Things (IoT), the significance of edge devices within multi-
cluster communication systems is on the rise. As the quantity of clusters and devices …

A systematic survey of multiprocessor real-time scheduling and synchronization protocol

A Kumar, SK Gupta - International Journal of Sensors Wireless …, 2022 - benthamdirect.com
Background: Nowadays, there is an immense increase in the demand for high power
computation of real-time workloads and the trend towards multi-core and multiprocessor …

Energy-efficient intra-task DVFS scheduling using linear programming formulation

Y Qin, G Zeng, R Kurachi, Y Li, Y Matsubara… - Ieee …, 2019 - ieeexplore.ieee.org
In real-time embedded systems, minimizing energy consumption is one of the most
important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the …

Task allocation, migration and scheduling for energy-efficient real-time multiprocessor architectures

D Rupanetti, H Salamy - Journal of Systems Architecture, 2019 - Elsevier
Power consumption is becoming complicated to tackle each day in the embedded systems
industry. As the demand for speed and accuracy increases, so does the power consumption …

Approximation-aware task deployment on heterogeneous multicore platforms with DVFS

X Li, L Mo, A Kritikakou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Heterogeneous (HE) multicore platforms, such as ARM big. LITTLE, are widely used to
execute embedded applications under multiple and contradictory constraints, such as …

A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints

Y Hu, J Li, L He - Neural Computing and Applications, 2020 - Springer
As the scale increases and performance improves, the energy consumption of high-
performance computer systems is rapidly increasing. The energy-aware task scheduling for …

A temperature-aware and energy-efficient fuzzy technique to schedule tasks in heterogeneous MPSoC systems

Z Ekhtiyari, V Moghaddas, H Beitollahi - The Journal of Supercomputing, 2019 - Springer
Energy consumption and elevating the chip temperature become a serious challenge in
designing embedded systems mainly due to transistor scaling and integration of more …

A migration aware scheduling technique for real-time aperiodic tasks over multiprocessor systems

AA Khan, A Ali, M Zakarya, R Khan, M Khan… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-processor systems consist of more than one processor and are mostly used for
computationally intensive applications. Real-time systems are those systems that require …