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Description
Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.
Description
Simulation Master operates entirely within Excel, an interface that you are likely already familiar with. It integrates seamlessly with Excel's native capabilities, enabling you to modify reports and charts as needed for effective communication with your team. You can input all simulation functions directly into the worksheet, and if you're uncertain about how to do so, Simulation Master provides helpful tools to assist you in entering random variables, time series, decision variables, and copulas. Additionally, if you've constructed a decision tree using DTace, you can leverage Simulation Master to simulate outcomes at chance nodes rather than just using discrete results. Furthermore, if you have developed a machine learning model with Vaimal, Simulation Master allows you to run simulations based on that model as well. This powerful synergy enables the integration of data models with analytic simulation models, enhancing the versatility of your analytical capabilities. Overall, this combination enriches your data analysis experience, making it more efficient and insightful.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Pricing Details
$599 per year
Free Trial
Free Version
Pricing Details
$199 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bevywise Networks
Founded
2016
Country
United States
Website
www.bevywise.com/iot-simulator/
Vendor Details
Company Name
Vortarus Technologies
Founded
2017
Country
United States
Website
vortarus.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control