Name
Abstract | ||
|---|---|---|
Adding new hardware features to a cloud computing server requires testing both the functionalities and the performance of the new hardware mechanisms. However, commonly used cloud computing server workloads are not well-represented by the SPEC integer and floating-point benchmark and Parsec suites typically used by the computer architecture community. Existing cloud benchmark suites for scale-out or scale-up computing are not representative of the most common cloud usage, and are very difficult to run on a cycle-accurate simulator that can accurately model new hardware, like gem5. In this paper, we present PALMScloud, a suite of cloud computing benchmarks for performance evaluation of cloud servers, that is ready to run on the gem5 cycle-accurate simulator. We demonstrate how our cloud computing benchmarks are used in evaluating the cache performance of a new secure cache called Newcache as a case study. We hope that these cloud benchmarks, ready to run on a dual-machine gem5 simulator or on real machines, can be useful to other researchers interested in improving hardware micro-architecture and cloud server performance. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Distributed, Parallel, and Cluster Computing | Parsec,Suite,Cache,Computer science,Real-time computing,Spec#,Operating system,Cloud testing,Single-chip Cloud Computer,Cloud computing,Hardware architecture |
DocType | Volume | Citations |
Journal | abs/1603.01352 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Wu | 1 | 112 | 34.60 |
| Fangfei Liu | 2 | 336 | 12.31 |
| Ruby Lee | 3 | 2460 | 261.28 |