Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing

L Abualigah, AMA Hussein, MH Almomani… - … Informatics and Systems, 2024 - Elsevier
Cloud computing has emerged as a cornerstone technology for modern computational
paradigms due to its scalability and flexibility. One critical aspect of cloud computing is …

A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments

Z Jalali Khalil Abadi, N Mansouri - Artificial Intelligence Review, 2024 - Springer
Task scheduling and resource management are critical for improving system performance
and enhancing consumer satisfaction in distributed computing environments. The dynamic …

Optimal Deployment of Private 5G Multi-access Edge Computing Systems at Smart Factories: Using Hybrid Crow Search Algorithm

CC Lin, DJ Deng, LT Hsieh, PT Pan - Journal of Network and Computer …, 2024 - Elsevier
In smart factories, an increasing number of mobile intelligent devices are deployed to meet
the growing demands for flexible manufacturing. These devices, equipped with various …

Meta Relational Learning-Based Service-Tailored VNF Deployment for B5G Network Slice

Z Xu, L Zhuang, W Zhuang, Y Hu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To bring 5G systems and networks to life in large-scale commercial applications, academia
community has started the research beyond 5G (B5G), in which network slicing (NS) is …

A multi-objective grey-wolf optimization based approach for scheduling on cloud platforms

MA Khan, R ur Rasool - Journal of Parallel and Distributed Computing, 2024 - Elsevier
A cloud computing environment processes user workloads or tasks by exploiting its high
performance computational, storage, of reducing and network resources. The virtual …

Multi-objective task scheduling based on PSO-Ring and intuitionistic fuzzy set

B Mohammad Hasani Zade, N Mansouri, MM Javidi - Cluster Computing, 2024 - Springer
The task scheduler belongs to the NP-complete problem, so it is very challenging in the
cloud environment to develop one with reasonable performance and computation speed …

DRL-based and Bsld-Aware Job Scheduling for Apache Spark Cluster in Hybrid Cloud Computing Environments

W Shi, H Li, H Zeng - Journal of Grid Computing, 2022 - Springer
Spark is one of the most important big data computing engines, favored by academia and
industry for its low latency and ease of use. The explosive growth in data volumes is causing …

[PDF][PDF] Task Classification and Scheduling Using Enhanced Coot Optimization in Cloud Computing.

S Karimunnisa, Y Pachipala - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Cloud computing benchmarks the dream of rendering computing as a utility, providing high
agility and reachability from an existing set of technologies. It facilitates a wider dimension to …

[HTML][HTML] Neural network inspired efficient scalable task scheduling for cloud infrastructure

P Gupta, A Anand, P Agarwal, G McArdle - Internet of Things and Cyber …, 2024 - Elsevier
The rapid development of Cloud Computing in the 21st Century is landmark occasion, not
only in the field of technology, but also in the field of engineering and services. The …

Proactive Fault Prediction and Tolerance in Cloud Computing

P Pabitha, N Sandheep, K Nivitha… - Workshop on Mining Data …, 2022 - Springer
Commercial cloud services have strengthened online and digital businesses by providing
additional benefits such as maximal computing with minimal capital investment, resource …