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').
- compile the distributed queue broker (dqbroker.c) requires Vortex OpenSplice
- start it with 2 parameters and 1 optional: dqbroker [-1]
- Default is instance-basis yet with a '-1' parameter it schedules 'per sample'
- where is the name of the 'queue-partition' that this broker will 'handle'
- where is the name/pattern of the topics to be 'brokered'
- where published in are brokered towards mathing readers that each utilize a dedicate partition
- the above test/image was generated using:
- brokering circles in the default partition i.e.: dqbroker "" Circle
- publishing Circles in the default partition (and creating a local reader in that same partition with history-depth 30)
- starting 3 ishapes readers (each with history depth 10)
- demo_ishapes "banaan"
- demo_ishapes "banaan1"
- demo_ishapes "banaan2"
- the broker creates reader/writers 'on the fly' and uses the QoS of the 'endpoints'
- the broker uses synchronous reliability towards the readers
- its up to the set of readers to choose a unique partition
- when multiple readers choose the same partition, they will receive the same data-set (could be useful for other patterns)
- the broker uses KEEP_ALL with history-limits '10' for its generated reader/writers
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 .
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.
All use of this source code is subject to the Apache License, Version 2.0. http://www.apache.org/licenses/LICENSE-2.0
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