Name
Abstract | ||
|---|---|---|
For decades, database engines have found the generic interfaces offered by the operating systems at odds with the need for efficient utilization of hardware resources. As a result, most engines circumvent the OS and manage hardware directly. With the growing complexity and heterogeneity of modern hardware, database engines are now facing a steep increase in the complexity they must absorb to achieve good performance. Taking advantage of recent proposals in operating system design, such as multi-kernels, in this paper we explore the development of a light weight OS kernel tailored for data processing and discuss its benefits for simplifying the design and improving the performance of data management systems. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2933349.2933351 | DaMoN |
Field | DocType | Citations |
Data processing,Computer science,Real-time computing,Os kernel,Odds,Data management,Operating system | Conference | 4 |
PageRank | References | Authors |
0.41 | 46 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jana Giceva | 1 | 108 | 5.08 |
| Gerd Zellweger | 2 | 24 | 2.70 |
| Gustavo Alonso | 3 | 5476 | 612.79 |
| Timothy Roscoe | 4 | 3118 | 299.48 |