ScaleOut
Software announced new device modeling and simulation capabilities
for its ScaleOut Digital Twin Streaming Service. These capabilities extend the
service's ability to perform real-time analytics at scale using digital twins
to track devices and other real-world data sources. Users can now simulate the
behavior of these data sources using digital twins prior to deployment as a
tool to evaluate design choices and improve decision making. This offers
several benefits to data analysts and managers in a wide range of industries,
including telematics, logistics, security, healthcare, crime prevention, and
financial services.
Going beyond product lifecycle management (PLM), which
focuses on improving product design, ScaleOut Software's new simulation
capabilities using digital twins also can assist in developing real-time
analytics applications. The streaming service now enables digital twins to both
generate and analyze telemetry. For example, developers can model a fleet of
trucks with digital twins that send telemetry to additional digital twins which
implement real-time analytics for tracking the fleet, identifying issues, and
evaluating performance. The streaming service also can record telemetry from
live devices and replay it in simulation to assist in performing offline
analytics.
"We are excited to extend the capabilities of our streaming
service to harness digital twins for both simulation and real-time analytics,"
said Dr. William Bain, ScaleOut Software's CEO and founder. "By hosting digital
twins using our highly scalable, in-memory computing technology, we enable our
customers to simulate large systems with complex interactions and gain insights
not previously possible."
Managers can also use ScaleOut Software's simulation
capabilities to model thousands of interacting data sources and predict likely
outcomes faster than real time. For example, they can model the effect of
delays for an airline's flight schedule within a multi-hour, forward-looking
window to predict and mitigate impacts on passengers caused by weather and
equipment issues. This predictive capability can assist in decision making
during real-time operations.
Key Features and Benefits for ScaleOut Software's Digital
Twin Simulations:
- Build Simulations at Scale: Now
developers can construct simulations that model thousands of devices and
other data sources. Fast, in-memory computing ensures high throughput and
seamless scaling during simulations with built-in high availability.
- Model with Digital Twins:
Developers can harness the popular digital twin model to describe various
physical entities using a powerful but easy to use, object-oriented
representation of each device or data source. The ScaleOut Digital Twin
Builder Toolkit lets developers construct digital twin models in both
Java and C#.
- Combine Modeling and Analytics: The
ScaleOut Digital Twin Streaming Service now helps managers use digital
twins to both analyze telemetry from real-world data sources and to model
those data sources. This simplifies the creation of workload generators
for evaluating real-time analytics. The platform also allows a single
digital twin instance to both simulate a data source's behavior and
analyze its telemetry.
- Capture and Replay Live Telemetry: The
streaming service can capture telemetry from live data sources and replay
it in simulation. This capability streamlines workload generation for
simulations and enables offline analysis of live scenarios.
- Make Predictions with Simulation: The
streaming service can configure simulations to run faster than real-time.
This aids decision making for operational managers by enabling simulations
to predict future events based on parameterizable scenarios.