Name
Title | ||
|---|---|---|
Tearing Down the Tower of Babel: Unified and Efficient Spatio-temporal Queries for NoSQL Stores |
Abstract | ||
|---|---|---|
NoSQL stores are used extensively for scalable storage and efficient querying of large spatio-temporal data collections in modern applications. Yet, despite their popularity, NoSQL systems have two main limitations when confronted with spatio-temporal data: (a) they do not offer optimized indexing methods, and (b) they still rely on heterogeneous languages and lack of standardization in data access, a situation bearing resemblance to the narrative of the tower of Babel. To address these limitations, we propose NoDA, a system for scalable querying of spatio-temporal data stored in different NoSQL stores in a unified way. NoDA relies on an abstraction layer that consists of data access operators with clear semantics, that provides a unified view of the underlying NoSQL stores. Furthermore, NoDA offers spatio-temporal operators that are internally implemented in an efficient way, by taking into advantage the individual features of each NoSQL store. Capitalizing on the query operators, NoDA provides a declarative interface based on a SQL-like language, allowing users to query different NoSQL stores using SQL. Our experiments demonstrate that NoDA significantly improves the performance of spatio-temporal querying over different types of NoSQL stores. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/MDM55031.2022.00024 | 2022 23rd IEEE International Conference on Mobile Data Management (MDM) |
Keywords | DocType | ISSN |
NoSQL,spatio-temporal queries | Conference | 1551-6245 |
ISBN | Citations | PageRank |
978-1-6654-5177-2 | 0 | 0.34 |
References | Authors | |
23 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolaos Koutroumanis | 1 | 3 | 3.14 |
| Christos Doulkeridis | 2 | 899 | 55.91 |
| Akrivi Vlachou | 3 | 751 | 39.95 |