-
Technology
-
Industry
-
Solutions
-
- ASSET MANAGEMENT
- CUSTOMER EXPERIENCE MANAGEMENT
- CYBER SECURITY
- DATA CENTER
- DOCUMENT MANAGEMENT
- ELECTRONIC DATA INTERCHANGE
- ENTERPRISE DATA MANAGEMENT
- ENTERPRISE RESOURCE PLANNING
- ENTERPRISE RISK MANAGEMENT
- ENTERPRISE-GRADE WEB DATA SOLUTIONS
- FACILITY MANAGEMENT
- FIELD SERVICE
- IDENTITY AND ACCESS MANAGEMENT
- INFRASTRUCTURE
- IT SERVICE MANAGEMENT
- MANAGED IT SERVICES
- PAYMENT AND CARD
- PROJECT MANAGEMENT
- SOFTWARE TESTING
- STORAGE
- VIDEO SOLUTIONS
- WORKFLOW
-
-
Platforms
-
Functions
- Leadership Perspectives
- Innovation Insights
- Research
- Magazines
- News
- CXO Awards
Dr. William L. Bain, Founder & CEOScaleOut StateServer, the core offering from ScaleOut Software, offers an in-memory data grid (IMDG) that spans a cluster of servers, to host millions of serialized data objects in memory. This alleviates pressure from operational systems that typically manage huge workloads of fast-changing data such as web session data, business logic objects, and financial pricing information. ScaleOut ComputeServer combines the IMDG with a powerful, data-parallel compute engine to deliver immediate results for operational intelligence and time-sensitive analysis. ComputeServer allows in-memory computations to run continuously across a fast changing dataset, extracting results with low latency to capture business opportunities and pinpoint operational issues. By integrating in-memory, data-parallel computing with the core StateServer IMDG in ComputeServer, the company enables operational intelligence, empowering the user to analyze data on the fly.
“The ability to integrate in-memory computing directly with in-memory data storage in an easy-to-use, object-oriented, API-driven programming model is one of the key capabilities that differentiate our platform,” explains Dr. William L. Bain, Founder and CEO of ScaleOut Software.
With this, a user experiences best of both worlds—transparent scalability with enhanced computing power and high availability—allowing expedited development and fast execution times for applications. A wide range of features, Bain says, has been incorporated by requests from a number of developers working on ScaleOut’s platform. The platform provides a rich set of portable APIs across multiple ecosystems and a clean separation between its “underneath the floor” orchestration layer and the in-memory, data-parallel applications running on it. This allows the same ScaleOut Software platform to be used across a variety of use cases.
For instance, working in close collaboration with one of their partners, Crossvale from Dallas, ScaleOut Software enabled the development of an IoT application built on top of their in-memory computing and data storage platform. This application tracks real-time telemetry from a large population of elevators and incorporates machine-learning techniques to provide immediate feedback, enabling an elevator company to optimize maintenance schedules and avoid unexpected outages. In another deployment, ScaleOut Software assisted an ecommerce company that was selling perishable goods. With two siloed database systems that separately handled order management and inventory tracking, the client was facing unacceptable delays due to reconciliation of information taking nearly 24 hours. With ScaleOut Software, the client was able to use in-memory computing to reconcile orders and inventory within a matter of minutes, shortening their order processing time and boosting customer satisfaction.
While indispensable for delivering operational intelligence, in-memory computing technology also forms the foundation for stream processing. Looking to the future, ScaleOut Software is poised to offer exciting new in-memory technology for stream processing following the paradigm of the “digital twin,” described by Gartner as one of the major trends for 2017 “We are excited to lead the technology development for creating digital twins now—building in-memory models of live systems and real-world entities with the ability to offer much deeper introspection than previously possible. This has huge implications for applications across multiple verticals, such as industrial IoT, patient monitoring, ecommerce, and much more—all of which we plan to explore,” concludes Bain.
ScaleOut Software Adds Simulation Capabilities to Its Digital Twin Streaming Service
Thursday, February 23, 2023
New features enable users to simultaneously model and simulate thousands of interacting data sources and improve decision making prior to deployment
BELLEVUE, Wash - ScaleOut Software announces 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.
“We are excited to extend the capabilities of our streaming service to harness digital twins for both simulation and real-time analytics”
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.
ScaleOut Software Expands Digital Twins Potential with Version 3 Release
Friday, May 17, 2024
BELLEVUE - ScaleOut Software today introduced Version 3 of its ScaleOut Digital Twins cloud service and on-premises hosting platform. The latest release introduces a cutting-edge user interface designed to streamline the deployment and management of digital twins.
It also adds advanced capabilities for constructing large-scale simulations using digital twins and establishing connections with a wider array of messaging sources. Notably, Version 3 seamlessly integrates with Amazon Dynamo DB, offering enhanced persistence capabilities.
“With the unveiling of ScaleOut Digital Twins, Version 3, we’re thrilled to introduce significant enhancements to our digital twin development and hosting platform,” declared Dr. William Bain, CEO and founder of ScaleOut Software. “As we collaborate with our clients to explore novel applications for digital twins within large-scale systems, we continue to uncover new ways to harness the combined power of digital twins and in-memory computing.”
Key Features and Benefits of ScaleOut Digital Twins, Version 3:
• Easily Deploy and Manage Digital Twin Models: The new user interface reorganizes information to make it easier than ever to manage application deployment and status tracking for digital twin models. A new navigation design makes it easier to find key functions and access system statistics.
• Seamlessly Aggregate Statistics and Query Digital Twins: UI features in this new version simplify the creation of aggregate statistics that track large populations of digital twins and visualize live results. New capabilities enable continuous tabular queries and provide automatic query storage.
• Create and Manage Message Recordings: Users can create recordings of incoming real-time messages for replay during digital twin simulations and persist them to SQL Server. This enables application designers to refine and then test their analytics for real-time monitoring. It also enables the use of device messages to drive simulations for predictive modeling.
• Connect to New Message Sources and Persistence Stores: With ScaleOut Digital Twins, Version 3 users can connect digital twin models to open-source Kafka running on-premises or Azure Kafka running in the cloud. Digital twins can now be persisted to AWS Dynamo DB in addition to SQL Server and Azure Digital Twins.
Application developers can take advantage of ScaleOut’s open-source APIs to construct digital twin models for real-time monitoring and simulation on the ScaleOut Digital Twins platform. Prior to deployment at scale with thousands of digital twins, they can test applications using an open-source workbench.
The ScaleOut Digital Twins platform uses highly scalable, in-memory computing technology to host thousands of digital twins for monitoring live data from IoT devices and other data sources, enabling real-time analytics that provide actionable results in seconds. The platform also runs large-scale simulations that aid in the design and operation of complex systems, such as transportation and logistics networks, smart cities, and more.
Company
ScaleOut Software
Management
Dr. William L. Bain, Founder & CEO
Description
Provides integrated in-memory data storage and in-memory computing solutions to customers who track and analyze live, fast-changing data
