[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
A survey of swarm intelligence based load balancing techniques in cloud computing environment
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 …
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 …
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 …
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
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 …
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
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 …
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
A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …
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
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 …
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
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 …
optimizing the workload among Virtual Machines (VMs) to utilize resources effectively. This …
Load balancing in cloud computing via intelligent PSO-based feedback controller
Load balancing effectively distributes network load and balances the load during the
scheduling and allocation process. Hence various load balancing techniques in task …
scheduling and allocation process. Hence various load balancing techniques in task …