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 …

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 …

Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach

VK Sharma, S Sharma, M Rawat, R Prakash - … of IoT, Cloud and Big Data …, 2023 - Springer
Large-scale virtualized data centers have been built to meet the growing processing needs
of modern service applications and the shift to Cloud computing. Cloud data centers have …

Reliability-aware task scheduling for energy efficiency on heterogeneous multiprocessor systems

Z Deng, D Cao, H Shen, Z Yan, H Huang - The Journal of Supercomputing, 2021 - Springer
Recent studies mainly focus on high performance or low power consumption for task
scheduling on heterogeneous multiprocessor systems (HMSs). Dynamic voltage and …

An energy-efficient big data workflow scheduling algorithm under budget constraints for heterogeneous cloud environment

W Ahmad, B Alam, A Atman - The Journal of Supercomputing, 2021 - Springer
Infrastructure as a service model of cloud computing provides a tremendous amount of high-
performance computing systems for the execution of scientific workflow applications …

Energy optimization for deadline-constrained parallel applications on multi-ecu embedded systems

J Huang, H Sun, F Yang, S Gao, R Li - Journal of Systems Architecture, 2022 - Elsevier
Multi-ECU (electronic control unit) systems are widely used in drones and electric vehicles.
The trend of sharing resources by multiple tasks is inevitable due to the sensitive costs and …

Scheduling energy‐conscious tasks in distributed heterogeneous computing systems

Y Liu, C Du, J Chen, X Du - Concurrency and Computation …, 2022 - Wiley Online Library
Distributed heterogeneous systems have been widely adopted in industrial applications by
providing high scalability and performance while keeping complexity and energy …

An Analytical Review and Performance Measures of State-of-Art Scheduling Algorithms in Heterogenous Computing Enviornment

W Ahmad, G Gautam, B Alam, BS Bhati - Archives of Computational …, 2024 - Springer
Task scheduling and resource utilization have always been among the most critical issues
for high performance in heterogeneous computing. The heterogeneity of computation costs …

China's Energy Demand Forecasting Based on the Hybrid PSO‐LSSVR Model

Y Yang, L Han, Y Wang, J Wang - … Communications and Mobile …, 2022 - Wiley Online Library
Forecasting energy demand accurately is the basis for the formulation and implementation
of energy planning. In this paper, energy demand influencing factors are mainly …

Task scheduling on heterogeneous multiprocessor systems through coherent data allocation

Z Deng, H Shen, D Cao, Z Yan… - … Practice and Experience, 2021 - Wiley Online Library
Energy consumption has become one of the main bottlenecks that limit the performance
improvement of heterogeneous multiprocessor systems. In a heterogeneous distributed …