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Ephemeral data handling in microservices with Tquery.

Saverio Giallorenzo^1,2, Fabrizio Montesi³, Larisa Safina⁴

¹Università di Bologna, Bologna, Italy.

Peerj. Computer Science

|September 12, 2022

Summary

This summary is machine-generated.

Jolie/Tquery is a new framework for ephemeral data querying in microservices, addressing database limitations. It offers better performance and flexibility for handling temporary data in edge and fog systems.

Keywords:

Edge computing Ephemeral data Fog computing Formal methods Jolie Microservices Query languages Semi-structured data Service-oriented computing e-Health

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Area of Science:

Computer Science
Software Engineering

Background:

Edge and fog computing necessitate ephemeral data querying due to privacy regulations.
Traditional databases present challenges in microservice architectures, including bottlenecks, security risks, and data structure rigidity.

Purpose of the Study:

Introduce Jolie/Tquery, the first query framework for ephemeral data handling in microservices.
Provide a reliable and efficient solution for querying temporary data within microservice environments.

Main Methods:

Developed Tquery, a theory for querying semi-structured data compatible with Jolie.
Implemented Jolie/Tquery using a cleanroom software engineering process, leveraging the Jolie programming language and MongoDB aggregation framework principles.
Utilized the Jolie type system to ensure Tquery's syntax and invariants.

Main Results:

Jolie/Tquery effectively handles ephemeral data querying in microservices.
Microbenchmarks demonstrate that Jolie/Tquery outperforms external databases like MongoDB for ephemeral data scenarios.
The framework integrates seamlessly with microservice architectures and supports heterogeneous systems.

Conclusions:

Jolie/Tquery offers a robust solution for ephemeral data management in microservices.
The framework enhances flexibility and performance compared to traditional database approaches for temporary data.
It is particularly beneficial for edge and fog computing environments with strict privacy requirements.