Name
Abstract | ||
|---|---|---|
The growing popularity of Web applications and the Internet of Things cause an urgent need for modern scalable data management to cope with large amounts of data. In the environmental domain these problems also need a solution because of big data coming from a large amount of sensors or users (e.g. crowdsourcing applications). This paper presents an architecture that uses a microservice approach to create a data management backend for the mentioned applications. The main concept shows that microservices can be used to define separate services for different data types and management tasks. This separation leads to many advantages such as better scalability and low coupling between different features. Two prototypes, which are already implemented, are evaluated in this paper. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-89935-0_32 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
Microservices,Data management,Environmental information systems (EIS),Databases,Time series,REST,Semantic Web,Linked data,Big data | Software engineering,Crowdsourcing,Semantic Web,Linked data,Environmental science,Microservices,Web application,Big data,Data management,Scalability | Conference |
Volume | ISSN | Citations |
507 | 1868-4238 | 1 |
PageRank | References | Authors |
0.55 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Braun | 1 | 4 | 2.08 |
| Thorsten Schlachter | 2 | 7 | 6.20 |
| Clemens Düpmeier | 3 | 24 | 13.16 |
| Karl-Uwe Stucky | 4 | 52 | 8.91 |
| w suess | 5 | 4 | 1.17 |