Name
Abstract | ||
|---|---|---|
The next generation of high-performance networks with remote direct memory access (RDMA) capabilities requires a fundamental rethinking of the design of distributed in-memory DBMSs. These systems are commonly built under the assumption that the network is the primary bottleneck and should be avoided at all costs, but this assumption no longer holds. For instance, with InfiniBand FDR 4×, the bandwidth available to transfer data across the network is in the same ballpark as the bandwidth of one memory channel. Moreover, RDMA transfer latencies continue to rapidly improve as well. In this paper, we first argue that traditional distributed DBMS architectures cannot take full advantage of high-performance networks and suggest a new architecture to address this problem. Then, we discuss initial results from a prototype implementation of our proposed architecture for OLTP and OLAP, showing remarkable performance improvements over existing designs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.14778/2904483.2904485 | Proceedings of the VLDB Endowment |
Field | DocType | Volume |
Data mining,Bottleneck,Architecture,InfiniBand,Computer science,Online transaction processing,Bandwidth (signal processing),Remote direct memory access,Online analytical processing,Database,Multi-channel memory architecture,Distributed computing | Journal | abs/1504.01048 |
Issue | ISSN | Citations |
7 | 2150-8097 | 10 |
PageRank | References | Authors |
0.50 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carsten Binnig | 1 | 619 | 61.38 |
| Ugur Çetintemel | 2 | 3099 | 208.64 |
| Andrew Crotty | 3 | 100 | 9.10 |
| Alex Galakatos | 4 | 20 | 2.13 |
| Tim Kraska | 5 | 2226 | 133.57 |
| Erfan Zamanian | 6 | 10 | 0.84 |
| Stanley B. Zdonik | 7 | 10 | 0.50 |