A Scalable Microservice Infrastructure for Fleet Data Management

被引：0

作者：

Meindl, Rainer ^{[1
,2
]}

Papesh, Konstantin ^{[1
]}

Baumgartner, David ^{[3
]}

Helm, Emmanuel ^{[1
]}

机构：

[1] Univ Appl Sci Upper Austria, Res Grp Adv Informat Syst & Technol, Softwarepk 11, Hagenberg, Austria

[2] Software Competence Ctr Hagenberg, Softwarepk 32a, Hagenberg, Austria

[3] Norwegian Univ Sci & Technol, Hogskoleringen 1, Trondheim, Norway

来源：

DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022 WORKSHOPS | 2022年 / 1633卷

关键词：

Big data; Time series; Data management; Data processing;

D O I：

10.1007/978-3-031-14343-4_37

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Modern Internet of Things solutions using edge devices produce large amounts of raw data. In order to utilize this data, it needs to be processed, aggregated, and categorized to enable decision making for management and end-users. This data management is a non-trivial task, as the computational load is directly proportional to the amount of data. In order to tackle this issue, we provide an extensible and scalable microservice architecture that can receive, normalize, and filter the raw data and persist it in different levels of aggregation, as well as for time series analysis.

引用

页码：392 / 401

页数：10

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