Optimizing Quality-Aware Big Data Applications in the Cloud
Optimizing Quality-Aware Big Data Applications in the Cloud is a scholarly work, published in 2021 in ''IEEE Transactions on Cloud Computing''. The main subjects of the publication include data science, software deployment, DevOps, Resource, log analysis, distributed computing, fault tolerance, big data, cloud computing, and computer science. The paper proposes a novel tool, integrated in a wider DevOps-inspired approach, implementing a parallel and distributed simulation-optimization technique that efficiently and effectively explores the space of alternative Cloud configurations, seeking the minimum cost deployment that satisfies quality of service constraints.