CloudSigma > Case Studies > Improving Earth Observation Data Analysis with CloudSigma

Improving Earth Observation Data Analysis with CloudSigma

CloudSigma Logo
 Improving Earth Observation Data Analysis with CloudSigma - IoT ONE Case Study
Technology Category
  • Infrastructure as a Service (IaaS) - Cloud Computing
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
  • Equipment & Machinery
  • Telecommunications
Applicable Functions
  • Product Research & Development
Use Cases
  • Behavior & Emotion Tracking
  • Time Sensitive Networking
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
At an international institution such as ESA, the main purpose of the RSS service is to provide its customers with reliable and performant services. Most of their end-users are researchers from universities and research centers, service providers, public institutions and medium-sized enterprises. In order to manage the variable workload, and the diversity of processing required they decided to trust CloudSigma to satisfy different user requirements.
The Customer

ESA(欧洲航天局)

About The Customer
ESA RSS (Research and Service Support) is a service provided by the European Space Agency (ESA). ESA is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world. ESA RSS service provides resources to support Earth Observation data exploitation. They support data access and data processing by bringing user algorithms close to the data. And by providing various platforms and environments. RSS also supports the development of new applications and services to generate value-added information derived from Earth Observation data. In CloudSigma, ESA RSS found a stable platform that enables them to supply consumers of Earth Observation data with great performance and availability. Additionally, the RSS team has built a strong working relationship with CloudSigma staff who are on hand to assist them immediately. The ESA RSS team continues to grow its services hosted with CloudSigma over time.
The Solution
Currently, RSS is using computing power at CloudSigma and satellite data stored on the clustered storage system. The purpose of this is to provide virtual environments where Earth Observation users can develop their algorithms or processes. By so doing the aim is to help researchers and service providers to speed-up their research saving time and costs. The scale-out magnetic storage provides ESA’s RSS team flexible and cost-effective storage with the necessary performance and scalability to run its analyses and store the satellite data and computational results.
Quantitative Benefit

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

Related Case Studies.

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.