Annonce de soutenance de thèse - 21 Juin 2016, 14h, Claude Chappe, Lyon la Doua
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Etienne Brodu
Jun 8, 2016, 11:19:37 AM6/8/16
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[Apologies if you receive multiple copies]Elle se déroulera le Mardi 21 Juin à 14h, en Amphi Claude Chappe, dans le Batiment Chappe, sur le campus de la Doua (ici).
La soutenance sera suivi d'un pot, auquel vous êtes également convié.
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Most of the now popular web services started as small projects created by few individuals, and grew exponentially. Internet supports this growth because it extends the reach of our communications world wide, while reducing their latency. During its development, an application must grow exponentially, otherwise the risk is to be outpaced by the competition.
In the beginning, it is important to verify quickly that the service can respond to the user needs: Fail fast. Languages like Ruby or Java became popular because they propose a productive approach to iterate quickly on user feedbacks. A web application that correctly responds to user needs can become viral. Eventually, the application needs to be efficient to cope with the traffic increase.
But it is difficult for an application to be at once productive and efficient. When the user base becomes too important, it is often required to switch the development approach from productivity to efficiency. No platform conciliates these two objectives, so it implies to rewrite the application into an efficient execution model, such as a pipeline. It is a risk as it is a huge and uncertain amount of work. To avoid this risk, this thesis proposes to maintain the productive representation of an application with the efficient one.
Javascript is a productive language with a significant community. It is the execution engine the most deployed, as it is present in every browser, and on some servers as well with Node.js. It is now considered as the main language of the web, ousting Ruby or Java. Moreover, the Javascript event-loop is similar to a pipeline. Both execution models process a stream of requests by chaining independent functions. Though, the event-loop supports the needs in development productivity with its global memory, while the pipeline representation allows an efficient execution by allowing parallelization.
This thesis studies the possibility for an equivalence to transform an implementation from one representation to the other. With this equivalence, the development team can follow the two approaches concurrently. It can continuously iterate the development to take advantage of their conflicting objectives.
This thesis presents a compiler that allows to identify the pipeline from a Javascript application, and isolate its stages into fluxions. A fluxion is named after the contraction between function and flux. It executes a function for each datum on a stream. Fluxions are independent, and can be moved from one machine to the other, so as to cope with the increasing traffic. The development team can begin with the productivity of the event-loop representation. And with the transformation, it can progressively iterate to reach the efficiency of the pipeline representation.
[english below]
Bonjour à tous,
J’ai le plaisir de vous inviter à la soutenance publique de ma thèse intitulé : Fluxional compiler : seamless shift from development productivity to performance efficiency, in the case of real-time web applications.
J’ai le plaisir de vous inviter à la soutenance publique de ma thèse intitulé : Fluxional compiler : seamless shift from development productivity to performance efficiency, in the case of real-time web applications.
Ci-dessous, l'abstract de ma thèse.
La présentation sera en français, et les slides en anglais.
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Dear all,
You are also invited to the following cocktail.
It is my pleasure to invite you to my PhD defense entitled: Fluxional
compiler: seamless shift from development productivity to performance
efficiency, in the case of real-time web applications.
You can find below the abstract of my thesis.
The defense will take place on Tuesday 21st June at 2pm in the Chappe amphiteatre (here).
You can find below the abstract of my thesis.
The defense will take place on Tuesday 21st June at 2pm in the Chappe amphiteatre (here).
It will be in french, with slides in english.
You are also invited to the following cocktail.
Merci / Thanks,
Cordialement / Sincerely,
Etienne Brodu
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Abstract
Most of the now popular web services started as small projects created by few individuals, and grew exponentially. Internet supports this growth because it extends the reach of our communications world wide, while reducing their latency. During its development, an application must grow exponentially, otherwise the risk is to be outpaced by the competition.
In the beginning, it is important to verify quickly that the service can respond to the user needs: Fail fast. Languages like Ruby or Java became popular because they propose a productive approach to iterate quickly on user feedbacks. A web application that correctly responds to user needs can become viral. Eventually, the application needs to be efficient to cope with the traffic increase.
But it is difficult for an application to be at once productive and efficient. When the user base becomes too important, it is often required to switch the development approach from productivity to efficiency. No platform conciliates these two objectives, so it implies to rewrite the application into an efficient execution model, such as a pipeline. It is a risk as it is a huge and uncertain amount of work. To avoid this risk, this thesis proposes to maintain the productive representation of an application with the efficient one.
Javascript is a productive language with a significant community. It is the execution engine the most deployed, as it is present in every browser, and on some servers as well with Node.js. It is now considered as the main language of the web, ousting Ruby or Java. Moreover, the Javascript event-loop is similar to a pipeline. Both execution models process a stream of requests by chaining independent functions. Though, the event-loop supports the needs in development productivity with its global memory, while the pipeline representation allows an efficient execution by allowing parallelization.
This thesis studies the possibility for an equivalence to transform an implementation from one representation to the other. With this equivalence, the development team can follow the two approaches concurrently. It can continuously iterate the development to take advantage of their conflicting objectives.
This thesis presents a compiler that allows to identify the pipeline from a Javascript application, and isolate its stages into fluxions. A fluxion is named after the contraction between function and flux. It executes a function for each datum on a stream. Fluxions are independent, and can be moved from one machine to the other, so as to cope with the increasing traffic. The development team can begin with the productivity of the event-loop representation. And with the transformation, it can progressively iterate to reach the efficiency of the pipeline representation.
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