Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation
Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation is a scholarly work by Antoine Bagula, published in 2019 in ''Sensors''. The main subjects of the publication include virtual machine, data center, quality of service, CloudSim, task, cloud computing, blockchain, genetic algorithm, distributed computing, utility computing, computer science, cloud testing, resource allocation, resource management, Internet of things, and business service. The authors formulate and present the task allocation and virtual machine placement problems in a single cloud/fog computing environment, and propose a task allocation algorithmic solution and a Genetic Algorithm Based Virtual Machine Placement as solutions for the task allocation and virtual machine placement problem models.