Software Ag, Inc.

Vishal Byakod

Aditya Babu Nampally

Sriram Mohan Telagareddy

Certain example embodiments relate to the concept of controlling the flow of data by providing an intelligent flow controller/manager, and a client-side component for the selection of a communication channel from a pool, and having these components communicate to regulate data flow through gateways to a broker- and/or other-type secondary stage. Data fragmentation and reassembly can be used to increase performance, e.g., through self-regulating behaviors. Advantageously, reliability is improved by enabling in-memory data persistence, rather than resorting to potentially performance-degrading use of disk storage. The delivery mechanism may be used to deliver data to multiple consumers, providing an end-to-end sender-to-consumer solution that self-regulates to optimize the data flow while still being reliable.

Systems and/or methods for automatically tuning a delivery system for transmission of large, volatile data

Certain example embodiments relate to a framework that helps address dynamic scalability and in-order processing of payloads, e.g., pertaining to B2B and/or other transactions. A receiver and/or sender is/are able to dynamically and/or statically provide an executable to an intermediary entity (e.g., a central payload processor or CPP) to process and/or otherwise transform payloads, en-route. This arrangement advantageously provides a very efficient way of delivering ordered content, especially when the content is extremely large. Cloud processing and/or storage facilities may be implemented in certain example instances, parallel sending and/or receiving may be provided, etc., in addressing issues relating to how to send large amounts of data over large distances to possibly multiple recipients.

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Bengaluru, India

Vishal Byakod