Name
Abstract | ||
|---|---|---|
This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high-velocity data. VOLAP makes use of dimension hierarchies, is highly scalable, exploits both multi-core and multi-processor parallelism, and can guarantee serializable execution of insert and query operations. In contrast to other high performance OLAP systems such as SAP HANA or IBM Netezza that rely on vertical ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2017.2743072 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Servers,Aggregates,Real-time systems,Distributed databases,Hardware,Indexes | Serialization,Computer science,Server,SAP HANA,Queries per second,Distributed database,Online analytical processing,Cloud computing,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
29 | 1 | 1045-9219 |
Citations | PageRank | References |
0 | 0.34 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Dehne | 1 | 518 | 43.70 |
| David E Robillard | 2 | 2 | 1.71 |
| Andrew Rau-chaplin | 3 | 638 | 61.65 |
| Neil Burke | 4 | 3 | 1.76 |