File Distribution & Collection

File Transfer

Send Files to Multiple Destinations and Bring Results from Multiple Sources into One Place.

Distributing files from headquarters to multiple branches and collecting data generated by multiple factories and devices into a central location may look like repeated 1:1 Transfers. But as the number of Sources and Targets grows, what matters is not the number of transfers, but whether the files were delivered correctly to every required destination and whether data arrived completely from every required Source.

File Transfer

Complete Distribution Based on Delivery Status Across All Targets.

In Distribution, what matters is not that a Transfer was started from the Source, but whether the required files were actually delivered to every specified Target. Operators need to move from the overall Distribution progress down to completion status by Target and individual File Results, and when problems occur at some Targets, they should be able to preserve the completed scope and reprocess only the required destinations.

For example, if 297 out of 300 Targets are complete and failures occur at three, it is more efficient to Resume or Retry based on the status and required Files of those three remaining Targets rather than repeating the entire Distribution from the beginning. INNORIX manages the process from "the Transfer was executed" to "it was delivered to every specified Target" as a single Distribution Result.

File Transfer

Operate Endpoints That Become Ready at Different Times Within the Same Distribution or Collection Scope.

Branches, Factories, Edge Devices, and Remote Servers are not always connected or ready with data at the same time. In Collection, data from Sources that become ready first should be processed first, while later Sources continue within the same Collection. In Distribution, Transfers can begin with Targets in Ready status while Offline or Busy Endpoints wait until their conditions are satisfied.

Rather than assuming that every Endpoint becomes ready simultaneously, INNORIX advances Distribution and Collection based on the status of each Endpoint. This allows distributed environments with different connection times and operating schedules to preserve the full target scope, process the Endpoints that are actually available first, and continue through final Completeness.

File Transfer

Scale Transfer Capacity and Data Movement Together as Endpoints Increase.

As Targets increase in 1:N Distribution or Sources increase in N:1 Collection, the number of simultaneous Transfers also grows. Rather than always running the maximum number of Transfers against every Endpoint at once, it is important to adjust Parallel Transfer and Concurrency according to the actual Capacity of the Source, Target, Network, and Storage, while managing waiting work through a Queue.

INNORIX separates Control from actual Data Movement. The Platform manages Distribution and Collection relationships, Flows, execution status, and results, while actual Data can move between the required Sources and Targets. As the number of Endpoints grows, Data Movement remains distributed while Operations stay on a single Platform.

File Transfer

Run Distribution and Collection by Schedule, Event, or Request from Existing Systems.

Recurring Distribution and Collection can be started manually by an operator when needed, but they can also begin based on a Schedule, File Event, API, Webhook, or completion of a Previous Transfer. Automation itself is not the purpose of this product; rather, it is used as a way to execute the required Distribution and Collection when the actual business requires them.

Existing Applications and business systems continue to handle Business Logic and Processing, while INNORIX performs File Distribution and Collection and returns the actual Transfer Result. For example, a Dataset can be distributed to multiple Processing Servers, and the Results produced by the existing system can then be collected back into a central location, connecting only the Data Movement as one Flow without changing the Processing Logic.

File Transfer

Inspect Results from the Entire Distribution or Collection Down to Each Endpoint and File.

Transfers involving multiple Endpoints need to provide a progressive view from the overall state down to individual results. Operators should first see the overall progress of the Distribution or Collection, identify Sources or Targets that require attention, and then inspect individual File Results when necessary.

Through Devices, Flows, Runs, Endpoint Status, File Status, Monitoring, and Receipt, INNORIX provides the required status and results in the order overall Distribution or Collection → Endpoint → File. The same Operation Model remains in place as Infrastructure expands from a few Endpoints to multiple Branches, Factories, Cloud environments, and Edge locations.

File Transfer

Deliver Accurately to Multiple Destinations and Bring Every Required Result into One Place.

Distribute files from headquarters to multiple branches and Servers, and collect data from multiple Factories and Devices into a central location.

Handle Large Files and countless Files while checking status by Target and by Source, reprocess only the Endpoints and Files you need, and manage everything through to the final Completeness of the entire Distribution and Collection.