[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges

S Tuli, F Mirhakimi, S Pallewatta, S Zawad… - Journal of Network and …, 2023 - Elsevier
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

A survey of swarm intelligence based load balancing techniques in cloud computing environment

MA Elmagzoub, D Syed, A Shaikh, N Islam, A Alghamdi… - Electronics, 2021 - mdpi.com
Cloud computing offers flexible, interactive, and observable access to shared resources on
the Internet. It frees users from the requirements of managing computing on their hardware. It …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty

Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …

Collaborative computation offloading for scheduling emergency tasks in SDN-based mobile edge computing networks

I Al-Hammadi, M Li, SMN Islam, E Al-Mosharea - Computer Networks, 2024 - Elsevier
Due to the growing demand for time-intensive tasks, several tasks coexist, some of which
last for a long time or only occur once in a while, such as emergencies. Emergencies such …

Multi objective task scheduling algorithm in cloud computing using grey wolf optimization

S Mangalampalli, GR Karri, M Kumar - Cluster Computing, 2023 - Springer
The scheduling of applications is one of the prominent challenges in cloud computing, due
to run time map** by task scheduler between upcoming workload and cloud resources …

Prediction-based scheduling techniques for cloud data center's workload: a systematic review

S Kashyap, A Singh - Cluster Computing, 2023 - Springer
A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …

FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos

P Agrawal, A Zabrovskiy, A Ilangovan, C Timmerer… - Cluster …, 2021 - Springer
HTTP adaptive streaming of video content becomes an integrated part of the Internet and
dominates other streaming protocols and solutions. The duration of creating video content …

An optimized algorithm for resource utilization in cloud computing based on the hybridization of meta-heuristic algorithms

F Jamal, T Siddiqui - International Journal of Information Technology, 2023 - Springer
Cloud services are rapidly growing and in high demand. Load Balancing (LB) is crucial for
optimizing the workload among Virtual Machines (VMs) to utilize resources effectively. This …

Load balancing in cloud computing via intelligent PSO-based feedback controller

S Ghafir, MA Alam, F Siddiqui, S Naaz - Sustainable Computing: Informatics …, 2024 - Elsevier
Load balancing effectively distributes network load and balances the load during the
scheduling and allocation process. Hence various load balancing techniques in task …