Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

S Mangalampalli, GR Karri, SN Mohanty, S Ali… - Scientific Reports, 2023 - nature.com
Cloud Computing model provides on demand delivery of seamless services to customers
around the world yet single point of failures occurs in cloud model due to improper …

Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects

D Alsadie - PeerJ Computer Science, 2024 - peerj.com
Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …

Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement

A Pietrenko-Dabrowska, S Koziel, QJ Zhang - Electronics, 2023 - mdpi.com
A variety of surrogate modeling techniques has been utilized in high-frequency design over
the last two decades. Yet, the curse of dimensionality still poses a serious challenge in …

Performance analysis and design of semi-blind beamforming for downlink MIMO–NOMA heterogeneous network

SU Rehman, J Ahmad, A Manzar… - Telecommunication …, 2024 - Springer
Non-orthogonal multiple access (NOMA) communication is a potential strategy for
overcoming the limits of classic orthogonal multiple access schemes, and it can improve …

Novel PSO-Based Algorithm for Workflow Time and Energy Optimization in a Heterogeneous Fog Computing Environment

SE Chafi, Y Balboul, M Fattah, S Mazer… - IEEE …, 2024 - ieeexplore.ieee.org
The dynamic and heterogeneous nature of fog computing environments presents significant
challenges for efficient resource management, especially in the context of workflow …

Optimized resource allocation in cloud computing for enhanced performance with modified particle swarm optimization

S Gogula, P Sridhar, S Arvind, A Sethy… - MATEC Web of …, 2024 - matec-conferences.org
Cloud Computing (CC) offers abundant resources and diverse services for running a wide
range of consumer applications, although it faces specific issues that need attention. Cloud …

Federated Learning in Heterogeneous Cloud Computing Environment

Y Li, S Jin, J Zhu - 2023 9th International Conference on Big …, 2023 - ieeexplore.ieee.org
This study examines key characteristics of cloud computing technology within the domain of
federated learning, with the primary objective of exploring the principles concerning …

[PDF][PDF] SwarmStream: A User-Centric Approach to Adaptive Video Streaming Using Swarm Optimization Algorithms

K Khan - ijmrap.com
In the rapidly evolving landscape of online video streaming, the demand for personalized
and adaptive experiences has become paramount. This paper introduces" SwarmStream," …