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Agile Architectural Model for Development of Time-Series Forecasting as a Service Applications

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Abstract

Time-series data analysis and forecasting have become increasingly important due to its massive application and production. Working with time series, preparing and manipulating data, predicting future values, and forecasting results analysis are becoming more natural tasks in people’s everyday lives. Modelling of an architectural design for convenient and user-friendly applications that provide a range of functionality for collection, management, processing, analysis, and forecasting time-series data establishes this article’s goal. The system’s technical requirements are maintainability and the ability to expand it with new data manipulation methods and predictive models in the future (scalability). As a result of this paper an architectural model was built, field-testing and profiling of which determined that applications developed on its basis allow users to get the desired results faster than using alternative solutions. The reduction of required level of user technical skills was achieved by the presence of the front-end component. Possibility of precise time-series predictions provision regardless of the data domain was accomplished by creation of dynamically extendable predictive model management service and tools. Improvement of system maintenance and extension time-costs was the result of microservices architecture pattern usage. As a result, this work demonstrates an informational system for end-to-end workflow on time-series forecasting. Application implementation prototype (proof of concept) that was built on the basis of the described architectural model demonstrated the advantages of this design over existing analogues. During testing, scalability improvements and overall efficiency increase in terms of time and resource costs were recorded.

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Correspondence to Illia Uzun .

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Uzun, I., Lobachev, I., Gall, L., Kharchenko, V. (2022). Agile Architectural Model for Development of Time-Series Forecasting as a Service Applications. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_9

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