This product has charges associated with it for the Simudyne SDK software license, usage of the Microsoft Windows operating system - as well as AWS machine costs. Simudyne is a Software Development Kit (SDK) that allows users to build agent-based models. These models empower users to reflect the complexity of the real world. The SDK can build tiny details and general concepts into its models, unifying macro and micro modelling.
This is a repackaged software product wherein additional charges apply for the proprietary Simudyne SDK software libraries on-top of existing AWS instance costs including usage of a Microsoft Windows Server 2022 license.
The Simudyne SDK can model a wide variety of situations and concepts, including the increase of complexity over time, the emergence of new entities, the way a system responds to feedback, and the process of contagion.
The Simudyne SDK is running on a Microsoft Windows Windows 2022 Server.
Other software has been installed included Java, Apache Maven, and JetBrains IntelliJ in order to support the ability to develop and run Simudyne SDK simulations.
Highlights
The modelling core uses objects called agents to mirror the real world at every level of detail. These agents communicate with each other by sending messages. The agents and messages mimic real world interactions, as well as the effects of those interactions over time.
Models built with the Simudyne SDK are optimized to run quickly on either single machines or distributed systems. They can be distributed over any number of nodes in larger systems. These nodes can be local hardware or on a cloud, as necessary. When many copies of the same model are running on nodes, the SDK returns a distribution of outcomes combining all successful runs.
The Simudyne AMI includes the supplykit module which provides a set of classes for quickly defining and building a network-based simulation of a supply chain. The API sits on top of the core abm modules allowing you to implement supply chain models characterized by distribution facilities, the products and goods they process, and the transport methods involved in driving the flow throughout the network.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Simudyne SDK on Windows Server 2022 (Hourly with Free Trial)
You pay by the hour for the Simudyne SDK running on Windows Server 2022, with a free trial available. Pricing follows the AWS EC2 instance you choose, so each dimension maps to a memory-optimized instance type. Options span the r6a, r6i, r6in, r7a, and r7i families. Within each family, sizes scale from xlarge up to 48xlarge. Bigger sizes carry more virtual CPUs and memory, and the hourly rate rises accordingly. You are not locked into a term; you pay only for the hours each instance runs.
Top-of-mind questions for buyers
What does one billing unit represent for these hourly dimensions?
Each dimension maps to one running AWS EC2 instance of the named memory-optimized type. You are billed per hour that instance runs. The software charge covers the Simudyne SDK on that instance. Larger sizes carry more virtual CPUs and memory, and the hourly software rate rises with size.
Am I charged when an instance is stopped or paused?
The hourly software charge meters running time only. A fully stopped instance stops accruing software charges. You pay for each hour an instance is active. Note that underlying AWS storage attached to a stopped instance may still incur separate AWS fees outside this software charge.
How do I move between instance sizes as my simulation needs change?
There is no term commitment, so you can stop one instance and launch another size when needs change. Billing follows whichever instance runs, at that size's hourly rate. Simulations scale across memory-optimized instances, letting you match compute to workload size on AWS.
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No Refunds. All sales are final, and Simudyne does not offer any money-back guarantees. You recognize and agree that you shall not be entitled to a refund for any purchase of the Software and Services under any circumstances.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Once your pom has been updated you can the package everything into a single jar (allinone) by running 'mvn clean compile package -s settings.xml' inside the project's folder.
Next we'll create our instance. We'll outline the steps below, but you can always refer to the Official AWS Documentation for guidance on setting up a new instance.
Set a name for your instance, and then select Windows instance and then search for the Simudyne Amazon Machine Image (AMI).
You'll then select the instance type. If you are just trying to deploy for your first time to ensure that everything works, you can use the the r6i selected by default based on your region.
Under Key pair (login) select 'Create new key pair' (unlesss you have already created or associated a key pair, or one has been assigned to you)
Follow the steps to create a key pair, and make sure to select .pem. You will use this file and follow the steps here from AWS: https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/connecting_to_windows_instance.html to create an RDP file and associated password. You will connect by opening this file on Windows after downloading and using the created password,
Under Network Settings unless you have already created a Security Group you will likely want to proceed with the default which will create one for you.
If your goal with this deployment is to access the SDK either via the console, or via a dashboard created with the REST API you will then want to select the boxes allowing for HTTP/HTTPS traffic. However if you are running directly in the command line, then you will not need to choose these options.
Keep the default selections for the other configuration settings for your instance.
Finally from the summary panel on the right when you're ready, choose Launch instance. This will take a few minutes to complete.
New we'll start adding our files
Once you have created your instance you'll then want to find it's IP Address or Public DNS. If you followed the above steps and were taken to your new instance you should see this on the summary screen for the instance. Otherwise go to https://console.aws.amazon.com/ec2/ and select instances, and finally your desired instance.
First we'll connect to our instance directly via RDP per above. Once you have connected directly via RDP we now will want to move our relevant files to the instance. There are multiple ways you could do this either usage of an online File Share (Dropbox/Sharepoint/etc), or alternatively uploading/downloading via an S3 Bucket
The files we'll need to move are
a packaged FatJAR file that you created above
a Simudyne license file
a simudyneSDK.properties file
14. Once everything has been moved and you are connected to machine running is as simple as java -jar NAMEOFYOURJARHERE.jar. Of course if this is meant to be a long running process (aka not a batch style run, but something accessible via the web) you will want to use tools to keep the process running after your close your login session. For Windows you can use the javaw instead of java to maintain a long-running process.
Currently there are 2 tiers of support for the Simudyne SDK.
Limited to no support is available for those using a free or trial license.
Dedicated support-team and developers will be assigned to any tickets created via our email system above if you have purchased a license.
During contract discussions businesses may request "modeling support" which involves assigning a member of our team or more likely a 3rd-party partner to said contract to provide support beyond technical, development, or deployment issues in order to help build the underlying model.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
The Proof-of-Value (PoV) engagement with Simudyne offers a strategic pathway for organizations to harness the power of simulation intelligence to address specific challenges.
This product has charges associated with it for the Simudyne SDK software license, usage of the Microsoft Windows operating system - as well as AWS machine costs. Simudyne is a Software Development Kit (SDK) that allows users to build agent-based models. These models empower users to reflect the complexity of the real world. The SDK can build tiny details and general concepts into its models, unifying macro and micro modelling.
This product has charges associated with it for the Simudyne SDK software license, usage of the Microsoft Windows operating system - as well as AWS machine costs. Simudyne is a Software Development Kit (SDK) that allows users to build agent-based models. These models empower users to reflect the complexity of the real world. The SDK can build tiny details and general concepts into its models, unifying macro and micro modelling.
This product has charges associated with it for the Simudyne SDK software license, usage of the Microsoft Windows operating system - as well as AWS machine costs. Simudyne is a Software Development Kit (SDK) that allows users to build agent-based models. These models empower users to reflect the complexity of the real world. The SDK can build tiny details and general concepts into its models, unifying macro and micro modelling.
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