Aeron VS sobjectizer

Semi-related is the Aeron project: https://github.com/real-logic/aeron

- ez itt most egy izgalmasabb product (trading/matching engine, low latency code, aeron alapokon)

Look into Aeron for examples of high performance UDP message sending. We use it for high performance audio messaging, and I previously used it in high frequency trading https://github.com/real-logic/aeron. It is written in Java/C, but the general concepts of back pressure and reliable delivery over UDP are well documented.

They mention their training offer on the Aeron GitHub page here: https://github.com/real-logic/aeron

Yup the Disruptor paper actually shocked the industry a bit, b/c it was so out of place. BTW, Martin Thompson went on improving the Disruptor, and the result is the Aeron Protocol: https://github.com/real-logic/aeron

I was about to suggest Chronicle, but it looks like they have gone closed-source. The older version is still interesting to look through though. Aeron / Disruptor / SBE are good projects for inspiration as well.

We are using this Java Aeron (https://github.com/real-logic/aeron) to build our production distributed messaging cluster. As a Rust lover, Is there any similar lib or framework in our ecosystem to test benchmark with it?

Java: In the past years C++ in finance has been rapidly supplanted by Java thanks to breakthrough technologies in the past decade like LMAX Disruptor, Chronicle Queue, Azul JVM, and Aeron (not the ergonomic chair, but this one, the transport protocol that breaks kafka performance records out of the park - not really a full kafka replacement, as Kafka enforces subscriber GD and aeron is more of an OSI layer 4 better than TCP; google "Best-effort delivery vs reliable delivery"). There's plenty more but thanks to these technologies, they allowed a Java based stack to perform the latency and throughput requirements needed for high frequency trading/HFT. From top trading firms like Two Sigma to the New York Stock Exchange, they're in Java. For banks, large modern western banks worth their salt and have modernized their systems are dominated by Java, especially thanks to Azul. To list a few banks, ING, Wells Fargo, Credit Suisse, and Barclays are all in Azul. Even at work Java still dominates.

Message Delivery Tracing aims to debug an application built on top of SObjectizer. In essence, it logs the primary stages of the message delivery process, allowing visibility into whether there is a suitable subscriber with the corresponding event handler.

An additional rationale for structuring cooperations in hierarchies is to facilitate the sharing and propagation of dispatchers. A recent update of SObjectizer includes new functionalities that allow access to both agent and cooperation dispatchers. This enhancement was prompted by feedback provided by a user and myself.

If a stop signal arrives, it will be enqueued at the end as a demand for image_producer_callback. This means, it will be processed after the other 6 demands currently in the queue. Maybe this is not an issue but in some cases it might be. At this point, another feature of SObjectizer is to consider: agent priorities. Essentially, this feature allows for the demands to be handled in different orders based on the priorities of agents. In this context, if we assign image_producer_callback a higher priority than others, the “stop signal” would be processed before the rest of the requests.

The real solution consists in using another slick feature of SObjectizer: mutable messages.

However, this kind of filtering is inefficient and might result in a significant run-time cost. Indeed, every empty cv::Mat follows all the message handling workflow, only to be thrown out. Although we expect that empty images will be sporadic, a more idiomatic approach exists: delivery filters.

SObjectizer’s agent states are quite sophisticated and provide some utilities that might be useful for developing a working solution. First of all, image_viewer can be modeled as a two-state agent:

An alternative way is using SObjectizer’s timers.

Those who came looking for actor model examples should check out sobjectizer

In sobjectizer the ownership is held by "environment" , while in rotor each thread must held appropriate context, when actor environment is running.

May be actor frameworks like caf, sobjectizer or rotor is something, that you are looking for.