Beethoven: An Event-Driven Lightweight Platform for Microservice Orchestration

Monteiro, Davi; Gadelha, Rômulo; Maia, Paulo Henrique M.; Rocha, Lincoln S.; Mendonça, Nabor C.

doi:10.1007/978-3-030-00761-4_13

Cited by 13 publications

(12 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Architects could combine multiple cloud platforms and service back-ends while combining them using typical service orchestration. An example of such a tool is presented in [34]. The presented tool facilitates the creation of complex and distributed microservice data flows in cloud services.…”

Section: Architecture Componentsmentioning

confidence: 99%

Password Guessability as a Service (PGaaS)

et al. 2022

View full text Add to dashboard Cite

This paper presents an adaptable password guessability service suited for different password generators according to what a user might need when using such a service. In particular, we introduce a flexible cloud-based software architecture engineered to provide an efficient and robust password guessability service that benefits from all the features and goals expected from cloud applications. This architecture comprises several components, featuring the combination of a synthetic dataset generator realized via a generative adversarial network (GAN), which may learn the distribution of passwords from a given dictionary and generate high-quality password guesses, along with a password guessability estimator realized via a password strength estimation algorithm. In addition to detailing the architecture’s components, we run a performance evaluation on the architecture’s key components, obtaining promising results. Finally, the complete application is delivered and may be used by a user to estimate the strength of a password and the time taken by an average computer to enumerate it.

show abstract

Section: Architecture Componentsmentioning

confidence: 99%

Password Guessability as a Service (PGaaS)

et al. 2022

View full text Add to dashboard Cite

show abstract

“…While several software components and data resources are available, connecting each component that could be developed in different languages, communicated using different protocols, and accessing each data resource that could have vastly different schemas, is difficult and expensive. Architectural mismatch has been a common issue across the software industry for decades, and good technological progress has been made in addressing this issue 16–19 . However, due to the develop‐from‐scratch tradition in developing digital health applications and some other field specific reasons, adoption of these new technologies tends to be slow paced.…”

Section: Problem Analysismentioning

confidence: 99%

“…Microservice architecture is one of the latest software design patterns that features applications composed of loosely coupled, modular, lightweight, and independently deployable web services 19 . One variant, Event‐Driven Microservice architecture is designed specifically for real‐time data exchanging and service collaboration scenarios, which eliminates the interoperability limitations and socio‐organizational constraints 17–19 . In a platform using event‐driven microservice architecture, each data source or existing software component is converted into a microservice and interoperate with other microservices.…”

Section: Problem Analysismentioning

confidence: 99%

A framework for developing digital health applications with efficiency and reuse principles: DHLink case study

Bidargaddi

Fouyaxis

et al. 2022

Concurrency and Computation

View full text Add to dashboard Cite

Summary A common issue among digital health applications is that they are based on project‐specific solutions and are developed from scratch, which results in redundant development and lack of data and technology reuse. This can be seen in, for example, building study specific websites and mobile frontends, deploying customized infrastructures, and collecting data that may have been collected in other studies and projects. However, existing data and technology are not easily shareable between projects due to large investment required to address data exchanging mechanism, data and technology sovereignty, data security and resource discovery, while the benefit for the resource owners is uncertain. In this article, we present a supporting framework, named DHLink, to address this issue on two fronts. First, the DHLink framework securely connects multiple digital health applications, facilitates real‐time data sharing, and supports rapid application development by reusing data and technology. Second, to aid in rapid development of new digital health applications, a set of highly generic and reusable microservices has been developed as the initial resources available in the DHLink ecosystem. Two proof‐of‐concept use cases outlined show the effectiveness of DHLink for both data sharing between existing applications, and rapid development of a new application.

show abstract

“…These descriptions are compiled into low-level code run on top of an event-driven process-based and lightweight platform. Monteiro et al (2018) introduce Beethoven, another an event-driven lightweight platform for microservice orchestration. This work proposes the Partitur DSL based on three main concepts: Workflow, Task and Event Handler.…”

Section: Related Workmentioning

confidence: 99%