Cenote: A Big Data Management and Analytics Infrastructure for the Web of Things
| Autor: | Michail D. Papamichail, Dimitrios Lampoudis, Napoleon-Christos I. Oikonomou, Andreas L. Symeonidis, Kyriakos C. Chatzidimitriou |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Big data Cloud computing 02 engineering and technology Data science Set (abstract data type) Data flow diagram Web of Things Software Analytics 020204 information systems Component (UML) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Internet of Things business |
| Zdroj: | WI |
| Popis: | In the era of Big Data, Cloud Computing and Internet of Things, most of the existing, integrated solutions that attempt to solve their challenges are either proprietary, limit functionality to a predefined set of requirements, or hide the way data are stored and accessed. In this work we propose Cenote, an open source Big Data management and analytics infrastructure for the Web of Things that overcomes the above limitations. Cenote is built on component-based software engineering principles and provides an all-inclusive solution based on components that work well individually. CCS CONCEPTS • Software and its engineering $\rightarrow$ Data flow architectures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|