# distributed-queue
A distributed eventual queue

# Distributed Eventual Queue for Vortex
In many situations (at least those we can imagine right now) such an distributed-eventual-queue is used in a 'worker-pattern' where you can load-balance the work around multiple queue-readers.
Rather than load-balancing on individual samples, this version load-balances over instances (assuming that samples of an instance form a 'work-package').

# Vortex Overview
PrismTech’s Vortex Intelligent Data Sharing Platform provides the leading implementations of the Object Management Group’s Data Distribution Service (DDS) for Real-time Systems standard. DDS is a middleware protocol and API standard for data-centric connectivity and is the only standard able to meet the advanced requirements of the Internet of Things (IoT). DDS provides the low-latency data connectivity, extreme reliability and scalability that business and mission-critical IoT applications need. For more information visit www.prismtech.com/vortex .

# Support
This is a proof of concept/prototype/alpha and is therefore provided as is with no formal support. If you experience an issue or have a question we'll do our best to answer it. In order to help us improve our innovations we would like your feedback and suggestions. Please submit an issue and/or provide suggestions via the GitHub issue tracker or by emailing innovation@prismtech.com.

# License
All use of this source code is subject to the Apache License, Version 2.0. http://www.apache.org/licenses/LICENSE-2.0

“This software is provided as is and for use with PrismTech products only.

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Update description and license in readme
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