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    Simudyne SDK on Amazon Linux 2023

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    Sold by: Simudyne 
    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.
    Listing Thumbnail

    Simudyne SDK on Amazon Linux 2023

     Info
    Sold by: Simudyne 

    Overview

    This is a repackaged software product wherein additional charges apply for the proprietary Simudyne SDK software libraries on-top of existing AWS instance costs. 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 an Amazon Linux 2023 machine. Other software has been installed included Java and Apache Maven 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.

    Details

    Sold by

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux kernel-6.1-x86_64

    Typical total price

    This estimate is based on use of the seller's recommended configuration (r6i.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $1.504/hour

    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Simudyne SDK on Amazon Linux 2023

     Info
    Pricing is based on a fixed monthly subscription cost and actual usage of the product. You pay the same amount each month for access, plus an additional monthly amount for usage. Usage charges vary according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Subscription cost

     Info
    $1,250.00/month

    Usage costs (49)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    r6i.xlarge
    $1.00
    $0.252
    $1.252
    r6i.2xlarge
    Recommended
    $1.00
    $0.504
    $1.504
    r6i.4xlarge
    $1.00
    $1.008
    $2.008
    r6i.8xlarge
    $1.00
    $2.016
    $3.016
    r6i.12xlarge
    $1.00
    $3.024
    $4.024
    r6i.16xlarge
    $1.00
    $4.032
    $5.032
    r6i.24xlarge
    $1.00
    $6.048
    $7.048
    r6i.32xlarge
    $1.00
    $8.064
    $9.064
    r6a.xlarge
    $1.00
    $0.227
    $1.227
    r6a.2xlarge
    $1.00
    $0.454
    $1.454

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    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.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    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.

    Additional details

    Usage instructions

    For a full guide: https://docs.simudyne.com/reference/run_deploy/aws 

    1. The first step is to make a few changes to your pom.xml. You'll add the maven and docker shade plugin which allows you to easily package for deployment. For an example of this pom file please refer to: https://docs.simudyne.com/reference/run_deploy/aws#packaging-your-model 
    2. 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.
    3. Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/  and select the orange Launch instance button.
    4. Set a name for your instance, and then select Amazon Linux instance and then search for the Simudyne Amazon Machine Image (AMI).
    5. 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.
    6. 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)
    7. Follow the steps to create a key pair, and make sure to select .pem for Linux. Make sure you store this in a secure location as it will be necessary to connect to the instance.
    8. 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.
    9. 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.
    10. Keep the default selections for the other configuration settings for your instance.
    11. 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
    12. 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.
    13. First we'll connect to our instance directly via SSH. Per the above steps on creating a key pair you should have either a .pem or .ppk file dependent on your workstation. If you followed the above steps your default root username will be 'ec2-user'.
    14. Please follow the steps for connecting via SSH to a machine per your current workstation operating system. Ensure that your private key is included as part of this connection.
    15. Once you have connected directly via SSH we now will want to move our relevant files to the instance. There are multiple ways you could do this either via SFTP, 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
    16. 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 Linux the recommendation Simudyne suggests would be 'tmux' which you can find a tmux beginner's guide here. https://www.redhat.com/sysadmin/introduction-tmux-linux 

    Support

    Vendor support

    The best option for getting support is to email support@simudyne.com 

    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.

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