A Language-based Approach for Interoperability of IoT Platforms

Gabbrielli, Maurizio; Giallorenzo, Saverio; Lanese, Ivan; Zingaro, Stefano Pio

doi:10.24251/hicss.2018.714

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…However, thanks to Jolie’s module system, users can also expose Jolie/Tquery as an independent service, e.g. , as a RESTful service ( Montesi, 2016 ) as well as a publish/subscribe MQTT worker ( Gabbrielli et al, 2018 ) (as briefly detailed in ‘The implementation of Jolie/Tquery’).…”

Section: Methodsmentioning

confidence: 99%

“…Jolie has been used in several domains that require ephemeral data handling, including smart mobility ( Callegati et al, 2017 ), IoT ( Gabbrielli et al, 2018 ), integration components in document management systems ( Maschio, 2019 ), and media content ( Maschio, 2017 ). However, due to the lack of an appropriate query framework, the query logic has been implemented manually with a general-purpose computation language (the computation layer of Jolie).…”

Section: Related Workmentioning

confidence: 99%

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Ephemeral data handling in microservices with Tquery

Giallorenzo

Montesi

Сафина

et al. 2022

PeerJ Computer Science

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The adoption of edge and fog systems, along with the introduction of privacy-preserving regulations, compel the usage of tools for expressing complex data queries in an ephemeral way. That is, queried data should not persist. Database engines partially address this need, as they provide domain-specific languages for querying data. Unfortunately, using a database in an ephemeral setting has inessential issues related to throughput bottlenecks, scalability, dependency management, and security (e.g., query injection). Moreover, databases can impose specific data structures and data formats, which can hinder the development of microservice architectures that integrate heterogeneous systems and handle semi-structured data. In this article, we present Jolie/Tquery, the first query framework designed for ephemeral data handling in microservices. Jolie/Tquery joins the benefits of a technology-agnostic, microservice-oriented programming language, Jolie, and of one of the most widely-used query languages for semi-structured data in microservices, the MongoDB aggregation framework. To make Jolie/Tquery reliable for the users, we follow a cleanroom software engineering process. First, we define Tquery, a theory for querying semi-structured data compatible with Jolie and inspired by a consistent variant of the key operators of the MongoDB aggregation framework. Then, we describe how we implemented Jolie/Tquery following Tquery and how the Jolie type system naturally captures the syntax of Tquery and helps to preserve its invariants. To both illustrate Tquery and Jolie/Tquery, we present the use case of a medical algorithm and build our way to a microservice that implements it using Jolie/Tquery. Finally, we report microbenchmarks that validate the expectation that, in the ephemeral case, using Jolie/Tquery outperforms using an external database (MongoDB, specifically).

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Ephemeral data handling in microservices with Tquery

Giallorenzo

Montesi

Сафина

et al. 2022

PeerJ Computer Science

Self Cite

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“…Montesi et al 27 use the programming language Jolie to address the heterogeneous scenario in service-oriented computing, which defines the service as a composition of behavior and deployment. Gabbrielli et al 28 propose an approach to hidden the complexity of interoperability among protocols. These studies provide some language-based approaches to help the service implementation, while each has its own unique implementing details.…”

Section: Related Workmentioning

confidence: 99%

A systematic gray literature review: The technologies and concerns of microservice application programming interfaces

2021

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The microservice application programming interface (API) becomes a growing concern in the IT industry, as a result of the increasing usage of microservice architecture style. There exist many successful practices among companies, communities, and so on. In contrast, the related academic research is still at an early stage, where lacks an overview of technologies for the design, implementation and operation of microservice APIs, as well as a general picture of concerns. In this article, we try to fill this gap by eliciting the technologies and concerns on microservice APIs and establishing a microservice API description model, with the intention of aiding researchers to gain an overview of this field and find possible research directions, and helping practitioners to better understand microservice APIs and be aware of the existing approaches for daily work. Twelve academic papers and 38 gray literatures are selected and analyzed following the systematic literature review approach. Besides, we give our observations from this study. For researchers, our findings show the most cared concerns of practitioners, and our description model can be used as a reference for new theories, experiments, and future research dimensions. For practitioners, our study can be used as a guideline for microservices experimentation and a starting point for practice.

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“…However, other solutions such as end-to-end composition, the API gateway, or service mesh can be found (Chandramouli, 2019). Note also that there are some efforts to integrate these eventbased solutions with end-to-end communications in the context of the Internet of Things (Collina, et al 2012;Gabbrielli, et al 2018). They focus on bridging the gap between the protocols required by machines and the APIs demanded by developers to easily design interfaces that are driven by the users' needs.…”

Section: Gutiérrezmentioning

confidence: 99%