Jetflow Technologies

Siemens Healthcare Diagnostics Gmbh

Brian Heilig

Brian Phillips

Guang R Gao

Adam Markey

Jeffrey Hoffman

Rishi Lee Khan

Robert Coleman Springer, Iv

Mark Glines

Christopher Galen Lauderdale

Joel Denny

John Tully

Methods, apparatus, and systems for obtaining sensor-generated data in a diagnostic laboratory apparatus including one or more producers of data that include a sensor, a local communications network communicatively coupling the producers to a data router configured to translate data received from producers of data into a common format record, the common format including key-value pairs, and at least one subscriber that registers one or more channel-based subscriptions with the data router. Records remain in storage by the data router until to the subscriber acknowledges successful receipt, after which the data router manages its storage resources to provide storage for newer sensor-generated data. The data router is configured to install plug-ins as needed to translate data formats of newly-integrated producers with new formats.

Methods, apparatus, and systems for integration of diagnostic laboratory devices

Data storage in a distributed computing system may involve the implementation of key/value stores across multiple storage structures of the distributed computing system, where a key may represent an index and a value may represent an object to store and/or retrieve. A given key/value store may be accessed by multiple compute nodes of the distributed computing system. Duplication and/or versioning may be implemented in or across one or more of the key/value stores.

Systems and methods for key-value stores

A data processing task may be implemented in a distributed computing system by the use of a workflow broken into flowlets that are arranged in a directed acyclic graph between data sources and data sinks. Such an arrangement may include various flow control and/or fault tolerance schemes, among other features.

Flowlet-based processing

A data processing task may be implemented in a distributed computing system by the use of a workflow broken into flowlets that are arranged in a directed acyclic graph between data sources and data sinks. Such an arrangement may include various flow control and/or fault tolerance schemes, among other features. Fault tolerance may be implemented using key/value store (KVS) flowlets.

Flowlet-based processing with key/value store checkpointing

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West Berlin, NJ, United States of America

Brian Heilig