Actian Case Studies Clouds in Real-Time

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	Clouds in Real-Time Actian

Clouds in Real-Time

Actian

Technology Category	Application Infrastructure & Middleware - Database Management & Storage Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Aerospace National Security & Defense
Applicable Functions	Discrete Manufacturing Quality Assurance
Use Cases	Predictive Maintenance Real-Time Location System (RTLS)
Services	Software Design & Engineering Services System Integration
Challenge	Northrop Grumman was tasked with developing a next-generation simulation application, the Cloud Depiction and Forecast System II (CDFS II), for the U.S. Air Force. The application needed to deliver results six times faster and with four times higher resolution than the previous system. The challenge was to program complex algorithms using object-oriented programming techniques. The previous system could only create a 48-hour forecast every six hours and a nine-hour forecast on request. The new system needed to improve on these capabilities. Read More
About Customer	Northrop Grumman Corporation is a leading global security company with 120,000 employees. The company provides innovative systems, products, and solutions in aerospace, electronics, information systems, shipbuilding, and technical services to government and commercial customers worldwide. One of their projects was the development of the Cloud Depiction and Forecast System II (CDFS II) for the U.S. Air Force. This system provides near real-time global cloud analysis and forecasting, which is crucial for military operations. The system is operated by the Air Force Weather Agency (AFWA) and uses advanced algorithms and operational infrastructure to collect and analyze sensor data from three classes of military and civilian meteorological satellites. Read More
Solution	Northrop Grumman implemented the Versant Object Database for the CDFS II. This eliminated the overabundance of index structures and the mapping layer, resulting in much higher data ingestion rates. The Versant Object Database allowed CDFS II to perform data ingestion and analysis an order of magnitude faster compared to the old CDFS system. The in-memory object model represents the Versant database model one to one without any intermediate data definition language or runtime translation layer. As a result, CDFS II needed significantly fewer queries and correspondingly the number of database indexes required were substantially reduced. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Database Management & Storage

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Aerospace

National Security & Defense

Applicable Functions

Discrete Manufacturing

Quality Assurance

Use Cases

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Software Design & Engineering Services

System Integration

Challenge

Northrop Grumman was tasked with developing a next-generation simulation application, the Cloud Depiction and Forecast System II (CDFS II), for the U.S. Air Force. The application needed to deliver results six times faster and with four times higher resolution than the previous system. The challenge was to program complex algorithms using object-oriented programming techniques. The previous system could only create a 48-hour forecast every six hours and a nine-hour forecast on request. The new system needed to improve on these capabilities.

About Customer

Northrop Grumman Corporation is a leading global security company with 120,000 employees. The company provides innovative systems, products, and solutions in aerospace, electronics, information systems, shipbuilding, and technical services to government and commercial customers worldwide. One of their projects was the development of the Cloud Depiction and Forecast System II (CDFS II) for the U.S. Air Force. This system provides near real-time global cloud analysis and forecasting, which is crucial for military operations. The system is operated by the Air Force Weather Agency (AFWA) and uses advanced algorithms and operational infrastructure to collect and analyze sensor data from three classes of military and civilian meteorological satellites.

Solution

Northrop Grumman implemented the Versant Object Database for the CDFS II. This eliminated the overabundance of index structures and the mapping layer, resulting in much higher data ingestion rates. The Versant Object Database allowed CDFS II to perform data ingestion and analysis an order of magnitude faster compared to the old CDFS system. The in-memory object model represents the Versant database model one to one without any intermediate data definition language or runtime translation layer. As a result, CDFS II needed significantly fewer queries and correspondingly the number of database indexes required were substantially reduced.

Impact #1	The implementation of the Versant Object Database resulted in faster development time, lower development cost, and greater ability to evolve the code to accommodate future requirements.
Impact #2	The new system can now create a 60-hour forecast every six hours and auto-generates a 12-hour forecast every hour, improving on the capabilities of the previous system.
Impact #3	The new system has a resolution of 14.5 miles, providing twice the precision and managing four times the data of the previous system.

Impact #1

The implementation of the Versant Object Database resulted in faster development time, lower development cost, and greater ability to evolve the code to accommodate future requirements.

Impact #2

The new system can now create a 60-hour forecast every six hours and auto-generates a 12-hour forecast every hour, improving on the capabilities of the previous system.

Impact #3

The new system has a resolution of 14.5 miles, providing twice the precision and managing four times the data of the previous system.

Benefit #1	CDFS II can now create a 60-hour forecast every 6 hours, compared to the previous system's 48-hour forecast.
Benefit #2	CDFS II auto-generates a 12-hour forecast every hour, an improvement from the previous system's on-request nine-hour forecast.
Benefit #3	The new system has a resolution of 14.5 miles, providing twice the precision of the previous system's 29 miles resolution.

Benefit #1

CDFS II can now create a 60-hour forecast every 6 hours, compared to the previous system's 48-hour forecast.

Benefit #2

CDFS II auto-generates a 12-hour forecast every hour, an improvement from the previous system's on-request nine-hour forecast.

Benefit #3

The new system has a resolution of 14.5 miles, providing twice the precision of the previous system's 29 miles resolution.

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Overview

Clouds in Real-Time

Operational Impact

Quantitative Benefit