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Adaptive Load Balancing in Multi-Cloud Systems Using ResFedLB for Load Balancing and RL-COSCoati with Fuzzy Fault Management

Damodhar MummiReddy,Choda Durga Venkata Subba Rao
#Multi -cloud load balancing #federated learning #ResFedLB #workload forecast ing #task scheduling #RL -COSCoati #fault identification

Achieving better Resource Utilization by Implementing a High-Performance Intelligent Framework in a Distributed Environment

Srinivasan Narayanasamy,MohanKumar Palanichamy,Selvam Lakshmanan,ArokiaRenjith Jerald
#Computational intelligence #scheduling #high-performance computing #resource utilization

Medhat Tawfeek, Ashraf ElSisi, Arabi Keshk and Faw zy Torkey
#Cloud computing # task scheduling # makespan # ACO # cl oudsim

An Intelligent Water Drop Algorithm for Optimizing Task Scheduling in Grid Environment

Abstract:The goal of grid computing is to provide powerful computing for complex scientific problems by utilizing and
#grid computing #IWD # task scheduling #ACO

A Dynamic Scheduling Method for Collaborated Cloud with Thick Clients

Pham Phuoc Hung1, Golam Alam2, Nguyen Hai3, Quan Tho3, and Eui-Nam Huh4
#Genetic # cloud computing # task scheduling # thick client # distributed system

An Improved Grey Wolf Optimization Algorithm Based Task Scheduling in Cloud Computing

Environment
#Virtualization # cloud computing # GWO # task scheduling # optimization # resource # CloudSim and QoS

Reliability-Aware: Task Scheduling in Cloud Computing Using Multi-Agent Reinforcement

Learning Algorithm and Neural Fitted Q
#Reinforcement learning # multi-agent scheduler # neural fitted Q # reliability # cloud computing # queuing theory
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