Auto-Scaling of Geo-Based Image Processing in an OpenStack Cloud Computing Environment

Building an open source cloud environment with auto-scaling resources for executing bioinformatics and biomedical workflows

(2017) Michael T. Krieger et al.   Future Generation Computer Systems-The International Journal of eScience

A reliable and cost-efficient auto-scaling system for web applications using heterogeneous spot instances

(2016) Chenhao Qu et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing

(2016) Manuel Díaz et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives

(2014) Jizhe Xia et al.   International Journal of Digital Earth

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

(2014) Tania Lorido-Botran et al.   Journal of Grid Computing

Geospatial services in the Cloud

(2013) Konstantinos Evangelidis et al.   COMPUTERS & GEOSCIENCES

Rapid processing of remote sensing images based on cloud computing

(2013) Pengyao Wang et al.   Future Generation Computer Systems-The International Journal of eScience

Mobile app approach by open source stack for satellite images utilization

(2013) Sanggoo Kang et al.   Remote Sensing Letters

Mobile cloud service of geo-based image processing functions: a test iPad implementation

(2013) Kiwon Lee et al.   Remote Sensing Letters

Model-driven auto-scaling of green cloud computing infrastructure

(2011) Brian Dougherty et al.   Future Generation Computer Systems-The International Journal of eScience