Abstract | ||
---|---|---|
The enormous scale of warehouse-computing environments leads to unique requirements in which cost and power figure prominently. Models and metrics quantifying these requirements, along with a benchmark suite to capture workload behavior, help identify bottlenecks and evaluate solutions. A holistic approach leads to a new system architecture incorporating volume non-server-class components in novel packaging solutions, with memory sharing and flash-based disk caching. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/MM.2009.14 | IEEE Micro |
Keywords | Field | DocType |
system architecture,servers,benchmark testing,quality of service,file servers,embedded system,computer architecture,hardware,data warehouses | Data warehouse,File server,Suite,Workload,Computer science,Parallel computing,Server,Quality of service,Real-time computing,Systems architecture,Benchmark (computing) | Journal |
Volume | Issue | ISSN |
29 | 1 | 0272-1732 |
Citations | PageRank | References |
4 | 0.82 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kevin Lim | 1 | 726 | 39.98 |
Parthasarathy Ranganathan | 2 | 3316 | 230.61 |
Jichuan Chang | 3 | 547 | 26.22 |
Chandrakant D. Patel | 4 | 115 | 16.13 |
Trevor Mudge | 5 | 6139 | 659.74 |
Steven K. Reinhardt | 6 | 3885 | 226.69 |