Rate types for stream programs

Bartenstein, Thomas W.; Liu, Yu David

doi:10.1145/2660193.2660225

Cited by 4 publications

(1 citation statement)

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“…Functions are encapsulated in autonomous execution containers with their state, so as to be mobile and parallel, similarly to the actors model. The communications are similar to the dataflow programming model, which allows to reason on the throughput of these streams, and to react to load increases [4].…”

Section: Fluxional Execution Modelmentioning

confidence: 99%

Transforming JavaScript event-loop into a pipeline

Brodu

Frénot

Oblé³

2016

Proceedings of the 31st Annual ACM Symposium on Applied Computing

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The development of a real-time web application often starts with a feature-driven approach allowing to quickly react to users feedbacks. However, this approach poorly scales in performance. Yet, the user-base can increase by an order of magnitude in a matter of hours. This first approach is unable to deal with the highest connections spikes. It leads the development team to shift to a scalable approach often linked to new development paradigm such as dataflow programming. This shift of technology is disruptive and continuity-threatening. To avoid it, we propose to abstract the feature-driven development into a more scalable highlevel language. Indeed, reasoning on this high-level language allows to dynamically cope with user-base size evolutions.We propose a compilation approach that transforms a Javascript, single-threaded real-time web application into a network of small independent parts communicating by message streams. We named these parts fluxions, by contraction between a flow 1 and a function. The independence of these parts allows their execution to be parallel, and to organize an application on several processors to cope with its load, in a similar way network routers do with IP traffic. We test this approach by applying the compiler to a real web application. We transform this application to parallelize the execution of an independent part and present the result.

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Section: Fluxional Execution Modelmentioning

confidence: 99%