Name
Abstract | ||
|---|---|---|
In this paper we show how Query Rewriting rules and Containment checks of aggregate queries can be combined with Contract-based programming techniques. Based on the combination of both worlds, we are able to find new Query Rewriting rules for queries containing aggregate constraints. These rules can either be used to improve the overall system performance or, in our use case, to implement a privacy-aware way to process queries. By integrating them in our PArADISE framework, we can now process and rewrite all types of OLAP queries, including complex aggregate functions and group-by extensions. In our framework, we use the whole network structure, from data producing sensors up to cloud computers, to automatically deploy an edge computing subnetwork. On each edge node, so-called fragment queries of a genuine query are executed to filter and to aggregate data on resource restricted sensor nodes. As a result of integrating Contract-based programming approaches, we are now able to not only process less data but also to produce less data in the result. Thus, the privacy principle of data minimization is accomplished. |
Year | Venue | Field |
|---|---|---|
2018 | OJIOT | Edge computing,Query Rewriting,Computer science,Computer network,Theoretical computer science,Minification,Aggregate data,Online analytical processing,Subnetwork,Big data,Cloud computing |
DocType | Volume | Issue |
Journal | 4 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hannes Grunert | 1 | 5 | 3.27 |
| Andreas Heuer | 2 | 6 | 6.62 |