International Business Machines Corporation

Michael James Dye

Tiia J Salo

David Andrew Booz

Egan Francis Ford

Jonathan D Dye

Christopher M Dye

Jonathan Dye

According to at least one embodiment, a method, a computer system, and a computer program product for handling an unreliable data sink is provided. The present invention may include reading, continuously, via a stream processor, a batch of data entering the stream processor via a reliable input stream, the stream processor comprising a daisy chain of sink nodes, wherein a first sink node is a primary sink node and a subsequent plurality of sink nodes in the daisy chain are fallback sink nodes; outputting processed data to a non-streaming target system; upon completion of the processed data to the non-streaming target system, invoking an asynchronous callback function listing successful and failed record IDs of the processed data; and passing the failed records to a first fallback sink within the daisy chain, while the primary sink node concurrently continues submitting new batches of data to the non-streaming target system.

Adapting unreliable data sink to reliable stream

The systems, apparatus, methods, and computer program products described herein provide the capability for an entity to identify and autonomously contract via a blockchain database with an unknown and anonymous host device for access rights to a high volume raw data stream generated by a sensor of the host device. The systems, apparatus, methods, and computer program products further provide the capability for the entity to push or upload a software module to the host device to allow the entity to process the high volume raw data stream into a low volume data stream directly on the host device, i.e., at the source of the high volume raw data stream.

Decentralized autonomous edge compute coordinated by smart contract on a blockchain

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West Valley City, UT, United States of America

Michael James Dye