Springer Cloud Computing for Geospatial Big Data Analytics

Explore the latest research in cloud, edge, fog, and mist computing through this specialized volume from Springer. This book focuses on how these computing paradigms apply to geospatial data, providing solutions to common big data challenges. As researchers in industry and academia work to solve complex problems in virtual environments, this text addresses specific issues like scheduling and security. While some cloud computing problems remain difficult to manage, the integration of fog, edge, and mist computing offers effective ways to handle these tasks. This publication is part of the Studies in Big Data series (Volume 49). It serves as a resource for understanding emerging advances in cloud technology and how distributed computing models can improve the processing and analysis of large-scale geospatial datasets.