Scheduling energy-constrained parallel applications in heterogeneous systems DOI
Hongzhi Xu,

Binlian Zhang,

Pan Chen

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: unknown, P. 107678 - 107678

Published: Dec. 1, 2024

Language: Английский

Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach DOI
Mustafa Ibrahim Khaleel

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101704 - 101704

Published: Aug. 19, 2024

Language: Английский

Citations

5
Optimizing Cloud Resource Management with an IoT-enabled Optimized Virtual Machine Migration Scheme for Improved Efficiency DOI
Chunjing Liu, Lixiang Ma, M. Zhang

et al.

Journal of Network and Computer Applications, Journal Year: 2025, Volume and Issue: unknown, P. 104137 - 104137

Published: Feb. 1, 2025

Language: Английский

Citations

0
A Survey on Task Scheduling in Edge-Cloud DOI
Subham Sahoo, Sambit Kumar Mishra

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(3)

Published: Feb. 24, 2025

Language: Английский

Citations

0
A knowledge-driven approach to multi-objective IoT task graph scheduling in fog-cloud computing DOI Creative Commons
Hadi Gholami, Hongyang Sun

Journal of Parallel and Distributed Computing, Journal Year: 2025, Volume and Issue: unknown, P. 105069 - 105069

Published: March 1, 2025

Language: Английский

Citations

0
Edge-Cloud Solutions for Big Data Analysis and Distributed Machine Learning - 1 DOI
Loris Belcastro, Jesús Carretero, Domenico Talia

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 159, P. 323 - 326

Published: May 16, 2024

Language: Английский

Citations

3
Efficient resource allocation in cloud environment using SHO-ANN-based hybrid approach DOI Creative Commons
Sanjeev Sharma,

Pradeep Singh Rawat

Sustainable Operations and Computers, Journal Year: 2024, Volume and Issue: 5, P. 141 - 155

Published: Jan. 1, 2024

The cloud computing paradigm provides services to users in an on-demand fashion using high-speed Internet. This Internet-based resources on a rent basis without any fault. Virtual machine resource allocation is one of the challenging concerns environment. existing static, dynamic, and Meta-Heuristic approaches provide solution virtual problem. These techniques stuck with local optimal solution. slow convergence rate leads locally fails Globally. manuscript proposes hybrid Spotted Hyena optimizer artificial neural network, named SHO-ANN technique, assignment presented technique evaluated analyzed performance metrics "Energy Consumption (Kwh) (8.54%), Host Utilization (24.8%), Average Execution Time(ms) (26.33%), SLA Violations (1.33%), Number Migrations (Counts) (19.73%)". spotted hyena used vast data set ANN model for better accuracy. approach globally high convergence. experimental results exhibit that outperforms IqMc, SHO, Genetic real workload scenarios fabricated scenarios.

Language: Английский

Citations

0
PWSA3C: Prioritized Workflow Scheduler in Cloud Computing using Asynchronous Advantage Actor Critic (A3C) Algorithm DOI Creative Commons

Mallu Shiva Rama Krishna,

Sudheer Mangalampalli

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 127976 - 127992

Published: Jan. 1, 2024

Language: Английский

Citations

0
Integrating asynchronous advantage actor–critic (A3C) and coalitional game theory algorithms for optimizing energy, carbon emissions, and reliability of scientific workflows in cloud data centers DOI
Mustafa Ibrahim Khaleel

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: unknown, P. 101756 - 101756

Published: Nov. 1, 2024

Language: Английский

Citations

0
Scheduling energy-constrained parallel applications in heterogeneous systems DOI
Hongzhi Xu,

Binlian Zhang,

Pan Chen

et al.

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: unknown, P. 107678 - 107678

Published: Dec. 1, 2024

Language: Английский

Citations

0