Towards a Technique for Extracting Relational Actors from Monolithic Applications

Rodrigo Laigner; Sérgio Lifschitz; Marcos  Kalinowski; Marcus Poggi; Marcos Antonio Vaz Salles

Towards a Technique for Extracting Relational Actors from Monolithic Applications

Rodrigo Laigner, Sérgio Lifschitz, Marcos Kalinowski, Marcus Poggi, Marcos Antonio Vaz Salles

Abstract

Relational actors, or reactors for short, integrate the actor model with the relational data model, providing an abstraction for enabling actor-relational database systems. However, as a novel model of computation for databases, there is no extensive work on reasoning about reactor modeling. To close this gap, this paper aims to propose as well as evaluate a technique to extract reactors from a monolithic system. For evaluation, we selected a REST-based open-source OLTP system in which a decomposition to microservices was conducted and applied our technique on its predecessor monolithic version. Our technique led to the same set of decisions, regarding table and behavior selection, taken by experts when decomposing the same system into microservices. The proposed technique can be seen as a first step towards supporting practitioners in decomposing OLTP systems into reactors.

Original language	English
Title of host publication	Proceedings of the 34th Brazilian Symposium on Databases, SBBD 2019
Number of pages	12
Publication date	2019
Publication status	Published - 2019

Cite this

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title = "Towards a Technique for Extracting Relational Actors from Monolithic Applications",

abstract = "Relational actors, or reactors for short, integrate the actor model with the relational data model, providing an abstraction for enabling actor-relational database systems. However, as a novel model of computation for databases, there is no extensive work on reasoning about reactor modeling. To close this gap, this paper aims to propose as well as evaluate a technique to extract reactors from a monolithic system. For evaluation, we selected a REST-based open-source OLTP system in which a decomposition to microservices was conducted and applied our technique on its predecessor monolithic version. Our technique led to the same set of decisions, regarding table and behavior selection, taken by experts when decomposing the same system into microservices. The proposed technique can be seen as a first step towards supporting practitioners in decomposing OLTP systems into reactors.",

author = "Rodrigo Laigner and S{\'e}rgio Lifschitz and Marcos Kalinowski and Marcus Poggi and {Vaz Salles}, {Marcos Antonio}",

year = "2019",

language = "English",

booktitle = "Proceedings of the 34th Brazilian Symposium on Databases, SBBD 2019",

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AU - Laigner, Rodrigo

AU - Lifschitz, Sérgio

AU - Kalinowski, Marcos

AU - Poggi, Marcus

AU - Vaz Salles, Marcos Antonio

PY - 2019

Y1 - 2019

N2 - Relational actors, or reactors for short, integrate the actor model with the relational data model, providing an abstraction for enabling actor-relational database systems. However, as a novel model of computation for databases, there is no extensive work on reasoning about reactor modeling. To close this gap, this paper aims to propose as well as evaluate a technique to extract reactors from a monolithic system. For evaluation, we selected a REST-based open-source OLTP system in which a decomposition to microservices was conducted and applied our technique on its predecessor monolithic version. Our technique led to the same set of decisions, regarding table and behavior selection, taken by experts when decomposing the same system into microservices. The proposed technique can be seen as a first step towards supporting practitioners in decomposing OLTP systems into reactors.

AB - Relational actors, or reactors for short, integrate the actor model with the relational data model, providing an abstraction for enabling actor-relational database systems. However, as a novel model of computation for databases, there is no extensive work on reasoning about reactor modeling. To close this gap, this paper aims to propose as well as evaluate a technique to extract reactors from a monolithic system. For evaluation, we selected a REST-based open-source OLTP system in which a decomposition to microservices was conducted and applied our technique on its predecessor monolithic version. Our technique led to the same set of decisions, regarding table and behavior selection, taken by experts when decomposing the same system into microservices. The proposed technique can be seen as a first step towards supporting practitioners in decomposing OLTP systems into reactors.

M3 - Article in proceedings

BT - Proceedings of the 34th Brazilian Symposium on Databases, SBBD 2019

ER -

Towards a Technique for Extracting Relational Actors from Monolithic Applications

Abstract

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