Algorithm Upscaling
Simplifying algorithm scaling for Earth observation
The APEx Algorithm Upscaling service is a collection of tools that aid in running an algorithm over a larger area. Depending on whether you want to process middle-sized countries or continental scale processing, it offers an appropriate and standardized approach to getting results. It is designed for EO researcher and developers, and works on algorithms that have been ported to one of the APEx compliant standard algorithm formats.
By producing your project deliverables with this service, you generate maps that are compliant with requirements of the ESA project results repository. This frees your project from some of the burdens of data and metadata management workflows.
The APEx Algorithm Upscaling service offers a structured approach to scaling Earth observation algorithms for large-scale data processing. Designed for EO researchers and developers, this service allows you to transition algorithms from local testing to cloud-based environments, ensuring they run efficiently on large datasets.
This service utilises cloud resources and supports various programming languages and is integrated with APEx’s existing infrastructure, simplifying the process of scaling your work for broader research or operational requirements.
Key benefits
This service enables the transition from small-scale testing to large-scale data processing, helping users manage increasing data volumes and computational demands.
Streamlined process
Simplify large-scale processing with a variety of tools.
Enhanced monitoring
Keep track of job progress and quality through real-time dashboards and event-specific alerts.
Efficient cost management
Utilise detailed cost tracking and control tools to manage resources effectively.
Global scalability
Use the APEx Algorithm Upscaling service for extensive global projects, ensuring reliable and scalable data processing.
Included features
APEx’s Algorithm Upscaling service includes various features to enable seamless scaling without extensive reconfiguration.
Real-time job monitoring
Monitor job statistics and quality through a comprehensive dashboard.
Automated optimisation
Automatically adjusts computational resources to meet data and performance needs.
Cost tracking and estimation
Track and estimate processing costs using detailed dashboards and profiling tools.
