<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This article focuses on a multiple source prioritization and validation service. We describe a modern rule-based, loosely coupled solution. We follow generalization, efficiency and agility principles in application design. We show benefits and stumbling blocks in micro-service architectural style and in rule-based solutions, where even the selection task is solved through selection rules, which encapsulate the calls to Entity Services, allowing access to input-sources. We allowing the rule-based service efficiency and further local and remote input data selection scenarios for the validation Statistical Service. In particular, data virtualization technologies enable architects to use remote sourcing and further increases agility in data selection issues. Through a wide number of experimental results, we show the necessary level of attention in process implementation, data architectures and resource usage. Agility and efficiency emerge as drivers which possibly sustain the Modernization flexibility impetus. In fact, flexible services may potentially serve multiple scenarios and domains.</p></abstract>

This article focuses on a multiple source prioritization and validation service. We describe a modern rule-based, loosely coupled solution. We follow generalization, efficiency and agility principles in application design. We show benefits and stumbling blocks in micro-service architectural style and in rule-based solutions, where even the selection task is solved through selection rules, which encapsulate the calls to Entity Services, allowing access to input-sources. We allowing the rule-based service efficiency and further local and remote input data selection scenarios for the validation Statistical Service. In particular, data virtualization technologies enable architects to use remote sourcing and further increases agility in data selection issues. Through a wide number of experimental results, we show the necessary level of attention in process implementation, data architectures and resource usage. Agility and efficiency emerge as drivers which possibly sustain the Modernization flexibility impetus. In fact, flexible services may potentially serve multiple scenarios and domains.

Efficiency and Agility for a Modern Solution of Deterministic Multiple Source Prioritization and Validation Tasks

Italian National Institute of Statistics (Istat)

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This article focuses on a multiple source prioritization and validation service. We describe a modern rule-based, loosely coupled solution. We follow...

Efficiency and Agility for a Modern Solution of Deterministic Multiple Source Prioritization and Validation Tasks

Pubblicato online: 14 dic 2018

Pagine: 825 - 862

Ricevuto: 01 giu 2017

Accettato: 01 lug 2018

DOI: https://doi.org/10.2478/jos-2018-0042

Parole chiave
Rule engine for validation and prioritization, highly-performant data management, efficient data parallelism, data virtualization, agile culture

© 2018 Annalisa Cesaro et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Efficiency and Agility for a Modern Solution of Deterministic Multiple Source Prioritization and Validation Tasks

Pubblicato online: 14 dic 2018

Pagine: 825 - 862

Ricevuto: 01 giu 2017

Accettato: 01 lug 2018

DOI: https://doi.org/10.2478/jos-2018-0042

Parole chiaveRule engine for validation and prioritization, highly-performant data management, efficient data parallelism, data virtualization, agile culture

© 2018 Annalisa Cesaro et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Rule engine for validation and prioritization, highly-performant data management, efficient data parallelism, data virtualization, agile culture